gee-community / geemap Goto Github PK

• geemap version:0.6.9
• Python version:3.7.3
• Operating System:Mac

Description

Describe what you were trying to get done.
I want to export two images to local computer by using geemap.ee_export_image() function
Tell us what happened, what went wrong, and what you expected to happen.
but can not export large files.

What I Did

geemap.ee_export_image(image, filename=filename, scale=30, region=roi, file_per_band=False)
If there was a crash, please include the traceback here.

An error occurred while downloading.
Pixel grid dimensions (12958x8118) must be less than or equal to 10000.

An error occurred while downloading.
Total request size (81829440 bytes) must be less than or equal to 33554432 bytes.

Hi Quisheng, first of all, wonderful work done on the development of this plugin. Thanks a lot for the time and effort you've invested in this. I was trying to use the ee_to_numpy functionality on Colab for Sentinel 2 imagery. It repeatedly threw errors. The errors were due to the following reasons. It isn't anything intrinsically wrong with your code, but rather a warning which can be included in the documentation.

• The first error was because my image was too large. The sampleRectangle function that you use can only take 262144 pixels. The aoi argument, therefore, needs to be specified and ensured that it is within the given size range.
• Once the size error was rectified, another error of unmatched dimensions popped up. This is because the S2 imagery has varying resolutions for the different bands. So a note to users to ensure a resampling and reprojection to a fixed scale will be useful.

Adding support for downloading Earth Engine Image as GeoTIFF and Numpy array

• geemap version: 0.6.6
• Python version: 3.8.2
• Operating System: Windows 10

Description

Describe what you were trying to get done：
I cannot launch jupyter notebook in gee environment.
Also, I cannot import geemap.
I installed both anaconda 2 and 3, would that be the possible reason for the problem?

(gee) PS C:\WINDOWS\system32> jupyter notebook                                                                          Traceback (most recent call last):
  File "C:\Users\irisr\.conda\envs\gee\Scripts\jupyter-notebook-script.py", line 6, in <module>
    from notebook.notebookapp import main
  File "C:\ProgramData\Anaconda3\Lib\site-packages\notebook\notebookapp.py", line 47, in <module>
    from zmq.eventloop import ioloop
  File "C:\ProgramData\Anaconda3\Lib\site-packages\zmq\__init__.py", line 47, in <module>
    from zmq import backend
  File "C:\ProgramData\Anaconda3\Lib\site-packages\zmq\backend\__init__.py", line 40, in <module>
    reraise(*exc_info)
  File "C:\ProgramData\Anaconda3\Lib\site-packages\zmq\utils\sixcerpt.py", line 34, in reraise
    raise value
  File "C:\ProgramData\Anaconda3\Lib\site-packages\zmq\backend\__init__.py", line 27, in <module>
    _ns = select_backend(first)
  File "C:\ProgramData\Anaconda3\Lib\site-packages\zmq\backend\select.py", line 27, in select_backend
    mod = __import__(name, fromlist=public_api)
  File "C:\ProgramData\Anaconda3\Lib\site-packages\zmq\backend\cython\__init__.py", line 6, in <module>
    from . import (constants, error, message, context,
ImportError: cannot import name 'constants' from partially initialized module 'zmq.backend.cython' (most likely due to a circular import) (C:\ProgramData\Anaconda3\Lib\site-packages\zmq\backend\cython\__init__.py)

>>> import geemap
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Users\irisr\.conda\envs\gee\lib\site-packages\geemap\__init__.py", line 7, in <module>
    from .geemap import *
  File "C:\Users\irisr\.conda\envs\gee\lib\site-packages\geemap\geemap.py", line 10, in <module>
    import ipywidgets as widgets
  File "C:\ProgramData\Anaconda3\Lib\site-packages\ipywidgets\__init__.py", line 25, in <module>
    from .widgets import *
  File "C:\ProgramData\Anaconda3\Lib\site-packages\ipywidgets\widgets\__init__.py", line 4, in <module>
    from .widget import Widget, CallbackDispatcher, register, widget_serialization
  File "C:\ProgramData\Anaconda3\Lib\site-packages\ipywidgets\widgets\widget.py", line 15, in <module>
    from ipykernel.comm import Comm
  File "C:\ProgramData\Anaconda3\Lib\site-packages\ipykernel\__init__.py", line 2, in <module>
    from .connect import *
  File "C:\ProgramData\Anaconda3\Lib\site-packages\ipykernel\connect.py", line 18, in <module>
    import jupyter_client
  File "C:\ProgramData\Anaconda3\Lib\site-packages\jupyter_client\__init__.py", line 4, in <module>
    from .connect import *
  File "C:\ProgramData\Anaconda3\Lib\site-packages\jupyter_client\connect.py", line 23, in <module>
    import zmq
  File "C:\ProgramData\Anaconda3\Lib\site-packages\zmq\__init__.py", line 47, in <module>
    from zmq import backend
  File "C:\ProgramData\Anaconda3\Lib\site-packages\zmq\backend\__init__.py", line 40, in <module>
    reraise(*exc_info)
  File "C:\ProgramData\Anaconda3\Lib\site-packages\zmq\utils\sixcerpt.py", line 34, in reraise
    raise value
  File "C:\ProgramData\Anaconda3\Lib\site-packages\zmq\backend\__init__.py", line 27, in <module>
    _ns = select_backend(first)
  File "C:\ProgramData\Anaconda3\Lib\site-packages\zmq\backend\select.py", line 27, in select_backend
    mod = __import__(name, fromlist=public_api)
  File "C:\ProgramData\Anaconda3\Lib\site-packages\zmq\backend\cython\__init__.py", line 6, in <module>
    from . import (constants, error, message, context,
ImportError: cannot import name 'constants' from partially initialized module 'zmq.backend.cython' (most likely due to a circular import) (C:\ProgramData\Anaconda3\Lib\site-packages\zmq\backend\cython\__init__.py)

• geemap version: 0.6.0
• Python version: 3.8.2
• Operating System: Linux

Description

I am following notebook example 19_search_places_and_datasets.ipynb and am having trouble importing a dataset from the interactive map

What I Did

When I press import after searching for a dataset, nothing happens. The chunk of code does not print under the map. 

• geemap version:
• Python version:
• Operating System:

Description

Describe what you were trying to get done.
Tell us what happened, what went wrong, and what you expected to happen.

What I Did

Paste the command(s) you ran and the output.
If there was a crash, please include the traceback here.

• geemap version: 0.6.8
• Python version: 3.8.2
• Operating System: Ubuntu 16.04.4 LTS

Description

I tried to install gee using conda on an existing virtual instance and display the map.

What I Did

The output of the cell Map is just blank. There are no errors.

import geemap
Map = geemap.Map(center=[40,-100], zoom=4)
Map

output of the last cell is just blank. Maybe I need a clean install but wanted to flag anyway

• geemap version: 0.6.10
• Python version: 3.7
• Operating System: windows 10

Feature request

Following the landsat_timeseries function create a sentinel_timeseries function.

• geemap version: 0.6.8
• Python version: 3.8.2
• Operating System: Ubuntu 19.10

Description

I was trying to display the precipitationCal band of the NASA/GPM_L3/IMERG_V06 dataset. I'd like to plot the time series of the precipitation for a location, but it shows the (mean?) precipitation as a function of the band.

What I Did

import ee
import geemap

Map = geemap.Map()
Map

gpm = ee.ImageCollection('NASA/GPM_L3/IMERG_V06') \
    .filter(ee.Filter.date('2016-01-01', '2016-02-01'));
    #.select('precipitationCal');
options = {
    'bands': ['precipitationCal'],
    'opacity': 0.5,
    'min': 0,
    'max': 15,
    'palette': ['000096','0064ff', '00b4ff', '33db80', '9beb4a', 'ffeb00', 'ffb300', 'ff6400', 'eb1e00', 'af0000']
}
Map.addLayer(gpm, options, 'GPM');

• geemap version:
• Python version:
• Operating System:

Description

When I use the zonal_statistics function, I found that the scale parameter is described as: scale = in_value_raster.projection().nominalScale().multiply(10). Why the nominalScale need multiply 10? If we do not multiply 10,
When I use the zonal_statistics function, I find that the scale parameter is described as:

scale = in_value_raster.projection().nominalScale().multiply(10)

Why does the nominalScale need to be multiplied by 10? If we do not multiply by 10 (directly set the scale as its nominalScale), is the result the same as multiplying by 10? How about multiplying by 20?

• geemap version:
• Python version:
• Operating System:

Description

I were trying to get the geemap python package for interactive mapping. After, the run the command Map doesn't run.

What I Did

m = geemap.Map()
m
HttpError Traceback (most recent call last)
~/anaconda3/lib/python3.7/site-packages/ee/data.py in _execute_cloud_call(call, num_retries)
337 try:
--> 338 return call.execute(num_retries=num_retries)
339 except googleapiclient.errors.HttpError as e:

~/anaconda3/lib/python3.7/site-packages/googleapiclient/_helpers.py in positional_wrapper(*args, **kwargs)
133 logger.warning(message)
--> 134 return wrapped(*args, **kwargs)
135

~/anaconda3/lib/python3.7/site-packages/googleapiclient/http.py in execute(self, http, num_retries)
906 if resp.status >= 300:
--> 907 raise HttpError(resp, content, uri=self.uri)
908 return self.postproc(resp, content)

HttpError: <HttpError 403 when requesting https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/algorithms?prettyPrint=false&alt=json returned "Permission denied.">

During handling of the above exception, another exception occurred:

EEException Traceback (most recent call last)
~/anaconda3/lib/python3.7/site-packages/geemap/geemap.py in ee_initialize()
23 try:
---> 24 ee.Initialize()
25 except Exception as e:

~/anaconda3/lib/python3.7/site-packages/ee/init.py in Initialize(credentials, opt_url, use_cloud_api, cloud_api_key, http_transport, project)
124 # Initialize the dynamically loaded functions on the objects that want them.
--> 125 ApiFunction.initialize()
126 Element.initialize()

~/anaconda3/lib/python3.7/site-packages/ee/apifunction.py in initialize(cls)
153 if not cls._api:
--> 154 signatures = data.getAlgorithms()
155 api = {}

~/anaconda3/lib/python3.7/site-packages/ee/data.py in getAlgorithms()
1042 project=_get_projects_path(), prettyPrint=False)
-> 1043 return _cloud_api_utils.convert_algorithms(execute_cloud_call(call))
1044 return send('/algorithms', {}, 'GET')

~/anaconda3/lib/python3.7/site-packages/ee/data.py in _execute_cloud_call(call, num_retries)
339 except googleapiclient.errors.HttpError as e:
--> 340 raise _translate_cloud_exception(e)
341

EEException: Permission denied.

During handling of the above exception, another exception occurred:

HttpError Traceback (most recent call last)
~/anaconda3/lib/python3.7/site-packages/ee/data.py in _execute_cloud_call(call, num_retries)
337 try:
--> 338 return call.execute(num_retries=num_retries)
339 except googleapiclient.errors.HttpError as e:

~/anaconda3/lib/python3.7/site-packages/googleapiclient/_helpers.py in positional_wrapper(*args, **kwargs)
133 logger.warning(message)
--> 134 return wrapped(*args, **kwargs)
135

~/anaconda3/lib/python3.7/site-packages/googleapiclient/http.py in execute(self, http, num_retries)
906 if resp.status >= 300:
--> 907 raise HttpError(resp, content, uri=self.uri)
908 return self.postproc(resp, content)

HttpError: <HttpError 403 when requesting https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/algorithms?prettyPrint=false&alt=json returned "Permission denied.">

During handling of the above exception, another exception occurred:

EEException Traceback (most recent call last)
in
----> 1 m = geemap.Map()
2 m

~/anaconda3/lib/python3.7/site-packages/geemap/geemap.py in init(self, **kwargs)
41
42 # Authenticates Earth Engine and initialize an Earth Engine session
---> 43 ee_initialize()
44
45 # Default map center location and zoom level

~/anaconda3/lib/python3.7/site-packages/geemap/geemap.py in ee_initialize()
25 except Exception as e:
26 ee.Authenticate()
---> 27 ee.Initialize()
28
29

~/anaconda3/lib/python3.7/site-packages/ee/init.py in Initialize(credentials, opt_url, use_cloud_api, cloud_api_key, http_transport, project)
123 http_transport=http_transport)
124 # Initialize the dynamically loaded functions on the objects that want them.
--> 125 ApiFunction.initialize()
126 Element.initialize()
127 Image.initialize()

~/anaconda3/lib/python3.7/site-packages/ee/apifunction.py in initialize(cls)
152 """Initializes the list of signatures from the Earth Engine front-end."""
153 if not cls._api:
--> 154 signatures = data.getAlgorithms()
155 api = {}
156 for name, sig in signatures.items():

~/anaconda3/lib/python3.7/site-packages/ee/data.py in getAlgorithms()
1041 call = _cloud_api_resource.projects().algorithms().list(
1042 project=_get_projects_path(), prettyPrint=False)
-> 1043 return _cloud_api_utils.convert_algorithms(execute_cloud_call(call))
1044 return send('/algorithms', {}, 'GET')
1045

~/anaconda3/lib/python3.7/site-packages/ee/data.py in _execute_cloud_call(call, num_retries)
338 return call.execute(num_retries=num_retries)
339 except googleapiclient.errors.HttpError as e:
--> 340 raise _translate_cloud_exception(e)
341
342

EEException: Permission denied.

• geemap version: 0.6.10
• Python version: 3.6.9
• Operating System: Linux

Description

I followed the directions in example 11 to download an image collection. When using the supplied USDA/NAIP/DOQQ dataset, the export succeeds. When replacing the dataset with my desired NASA/OCEANDATA/MODIS-Aqua/L3SMI the export fails with the error:

Exporting 1/4: A2016153.tif
Generating URL ...
An error occurred while downloading.
Image.clipToBoundsAndScale: The geometry for image clipping must be bounded.

What I Did

# Define a point of interest
aoi = ee.Geometry.Point(-99.2222, 46.7816)

# Define an image.
img_coll = ee.ImageCollection('NASA/OCEANDATA/MODIS-Aqua/L3SMI') \
                  .filterDate('2016-06-01', '2016-06-05') \
                  .select(['Rrs_645', 'Rrs_555', 'Rrs_443']) \
                  .filterBounds(aoi)

out_dir='sample_data'

geemap.ee_export_image_collection(img_coll, out_dir=out_dir)

This will allow users to create a legend based on a palette and export it as an image to be added to a GIF. Such as 'palette': ['blue', 'purple', 'cyan', 'green', 'yellow', 'red']

In addition to adding animated text to a GIF image created from Earth Engine data, this will allow users to add a logo or watermark to the the GIF image.

• geemap version:
• Python version:
• Operating System:

Description

Hi~ I know how to create a colorbar and add it to a GIF. But I'm confused about how to add a colorbar to the Map. I searched a lot and cannot find solutions. Could you give me some suggestions? Thanks very much.

What I Did

Paste the command(s) you ran and the output.
If there was a crash, please include the traceback here.

• geemap version: geemap-0.6.10
• Python version:python-3.8.2
• Operating System:Windows 10, 64bit

Description

Hi, I'm following your your install instructions (01 Introducing the geemp.. video). But I keep getting this ipyleaflet error at the first step when importing geemap (in Jupyter Notebook).

What I Did

import geemap
---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-1-e6047112adad> in <module>
----> 1 import geemap

~\anaconda3\envs\gee2\lib\site-packages\geemap\__init__.py in <module>
      5 __version__ = '0.6.10'
      6 
----> 7 from .geemap import *
      8 from .basemaps import ee_basemaps
      9 from .legends import builtin_legends

~\anaconda3\envs\gee2\lib\site-packages\geemap\geemap.py in <module>
     13 from ipyleaflet import *
     14 from IPython.display import display
---> 15 from .basemaps import ee_basemaps
     16 from .conversion import *
     17 from .legends import builtin_legends

~\anaconda3\envs\gee2\lib\site-packages\geemap\basemaps.py in <module>
----> 1 from ipyleaflet import TileLayer, WMSLayer, basemaps, basemap_to_tiles
      2 
      3 # More WMS basemaps can be found at the following websites:
      4 # USGS National Map: https://viewer.nationalmap.gov/services/
      5 # MRLC NLCD Land Cover data: https://viewer.nationalmap.gov/services/

ImportError: cannot import name 'TileLayer' from 'ipyleaflet' (C:\Users\RMain\anaconda3\envs\gee2\lib\site-packages\ipyleaflet\__init__.py)

This will allow users to use some non-Map() functions (e.g., add animated text to GIF, shp_to_ee) with Google Colab.

• geemap version: 0.6.10
• Python version: 3.8.2
• Operating System: Debian

Description

Running the notebook 09_plotting.ipynb. "Use Plotting" works partly but the display of the time series fails.

Describe what you were trying to get done.
Tell us what happened, what went wrong, and what you expected to happen.

What I Did

jupyter labextension list

JupyterLab v2.0.0
Known labextensions:
   app dir: /home/xxxyyy/anaconda3/envs/sv/share/jupyter/lab
        @jupyter-widgets/jupyterlab-manager v2.0.0  enabled  OK
        jupyter-leaflet v0.12.4  enabled  OK

Fix

Figured out on a hunch bqplot extensions were not registered.

Do jupyter labextension install bqplot then jupyter labextension list outputs:

JupyterLab v2.0.0
Known labextensions:
   app dir: /home/xxxyyy/anaconda3/envs/sv/share/jupyter/lab
        @jupyter-widgets/jupyterlab-manager v2.0.0  enabled  OK
        bqplot v0.5.10  enabled  OK
        jupyter-leaflet v0.12.4  enabled  OK

After you restart jupyter-lab:

• geemap version: Just run geemap.update_package() when writing this message
• Python version: 3.67
• Operating System: Windows 10

Description

Hi Dr. Wu,

Following issues arose when I ran the function below:

add_text_to_gif(in_gif, out_gif, xy=('3%', '88%'), text_sequence=dates, font_size=20, font_color='white', duration=1000)

1. When using an existing GIF, change the "duration" setting made no change to the displaying speed (original duration is 500 ms);
2. After adding dynamic text to a gif, a progress bar appeared at the bottom of the image, which doesn't look good; and
3. There were blinking noise shown on the edge of gif image after adding dynamic text.

I attached both the original gif and the output gif.
Please help!

Thank you
Zhe

• geemap version: 0.69
• Python version: 3.7.6
• Operating System: WIN10

Description

When i run Map.add_landsat_ts_gif(...) in 18_create_landsat_timelapse.ipynb, getting the following output:

Generating URL...
'ImageCollection' object has no attribute 'getVideoThumbURL'
Adding animated text to GIF ...
The input gif file does not exist.
The input gif file does not exist.
Adding GIF to the map ...
The provided file does not exist.

What I Did

I did not modified only code of 18_create_landsat_timelapse.ipynb.

Add a function for computing zonal statistics for integer image. For example, calculating the land cover composition of each country/state.

Add a toolbar to the map that makes user interaction easier, like the one below:

• geemap version: 0.6.10
• Python version: 3.7.4
• Operating System: Win

The 'us-states.shp' was added into geemap, then converted to ee object. But the export is failed, error info is: "Generating URL ...
An error occurred while downloading.
'str' object has no attribute 'select'"

Code:
states_shp = r"/JupyterSpace/Data/geemap-master/examples/data/us-states.shp"
states = geemap.shp_to_ee(states_shp)
Map.addLayer(states,{},"States")
geemap.ee_export_vector(states,filename='/JupyterSpace/Data/states.csv')

Simply copy and paste GEE Javascripts to Jupyter notebook to generate Python code.

• geemap version:
• Python version: 3.7
• Operating System: ubuntu bionic

Description

When calling Map.add_legend(legend_title = ... the keyword is capitalized in the method call, however, the corresponding keywords in legends.py are not. This means some legend entries can not be found.

What I Did

Map.add_legend(legend_title = "OPERNICUS/Landcover/100m/Proba-V/Global")

fails because the entry is capitalized in the method but not in legends.py

I am betting this is rather an ipyleaflet plus jupyter-lab issue, but I open this ticket hoping to provide workarounds/fixes for other users as this may be one of the first experience (i.e. impression) for newcomers.

• geemap version: 0.6.10 from conda-forge
• Python version: 3.8.2
• Operating System: Linux 4.19.0-8-amd64 #1 SMP Debian 4.19.98-1+deb10u1 (2020-04-27) x86_64 GNU/Linux

Description

example notebook 01_geemap_intro
Map does not display in the cell output in jupyterlab, instead "Loading widget..." or "Error displaying widget: model not found"
Display works if accessed/run from jupyter-notebook however. I think I previously similar symptoms with upyleaflet

What I Did

Updated an existing conda env which had ipyleaflet working. conda update -c conda-forge python=3.8, then conda install -c conda-forge geemap

jupyter-lab opened and requested a rebuild of the extensions:

[W 12:30:43.793 LabApp] Build recommended
[W 12:30:43.793 LabApp] jupyter-leaflet needs to be included in build
[W 12:30:43.793 LabApp] @jupyter-widgets/jupyterlab-manager needs to be included in build

Once done, Map resulted in "Loading widget..." , but I think this was because I should have restarted jupyter-lab. Using the script

#!/bin/bash
source ${HOME}/anaconda3/bin/activate sv
jupyter-nbextension list
cd ${HOME}/src/github/geemap
jupyter-lab --browser=/usr/bin/google-chrome

Known nbextensions:
  config dir: /home/xxxyyy/anaconda3/envs/sv/etc/jupyter/nbconfig
    notebook section
      bqplot/extension  enabled 
      - Validating: OK
      jupyter-leaflet/extension  enabled 
      - Validating: OK
      jupyter-js-widgets/extension  enabled 
      - Validating: OK
  config dir: /etc/jupyter/nbconfig
    notebook section
      jupyter-js-widgets/extension  enabled 
      - Validating: OK

but upon re-execution of the notebook 01_geemap_intro Map then leads to "Error displaying widget: model not found"

Useful resources for a implementing a search control:

• ipymaps @deeplook
• leaflet-search @stefanocudini
• ipyleaflet discussion @SylvainCorlay

This will allow users to access Earth Engine API documentation and manage assets directly within Jupyter notebook.

• geemap version:
• Python version: python 3.7.6
• Operating System: win64

Description

thank you for your sharing! I followed the instruction and it showed "Successfully saved authorization token" in jupyter notebook. However, it couldn't display the map. Do you have any suggestion?

What I Did

I have closed the firewall. And my VPN is in global mode and works well.

paste###################################paste
Successfully saved authorization token.

---------------------------------------------------------------------------
TimeoutError                              Traceback (most recent call last)
D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\geemap\geemap.py in ee_initialize()
     24     try:
---> 25         ee.Initialize()
     26     except Exception as e:

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\ee\__init__.py in Initialize(credentials, opt_url, use_cloud_api, cloud_api_key, http_transport, project)
    114     credentials = data.get_persistent_credentials()
--> 115   data.initialize(
    116       credentials=credentials,

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\ee\data.py in initialize(credentials, api_base_url, tile_base_url, use_cloud_api, cloud_api_base_url, cloud_api_key, project, http_transport)
    209 
--> 210   _install_cloud_api_resource()
    211 

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\ee\data.py in _install_cloud_api_resource()
    279   timeout = (_deadline_ms / 1000.0) or None
--> 280   _cloud_api_resource = _cloud_api_utils.build_cloud_resource(
    281       _cloud_api_base_url,

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\ee\_cloud_api_utils.py in build_cloud_resource(api_base_url, api_key, credentials, timeout, headers_supplier, response_inspector, http_transport, raw)
    141     alt_model = None
--> 142   resource = discovery.build(
    143       'earthengine',

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\googleapiclient\_helpers.py in positional_wrapper(*args, **kwargs)
    133                     logger.warning(message)
--> 134             return wrapped(*args, **kwargs)
    135 

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\googleapiclient\discovery.py in build(serviceName, version, http, discoveryServiceUrl, developerKey, model, requestBuilder, credentials, cache_discovery, cache, client_options)
    223         try:
--> 224             content = _retrieve_discovery_doc(
    225                 requested_url, discovery_http, cache_discovery, cache, developerKey

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\googleapiclient\discovery.py in _retrieve_discovery_doc(url, http, cache_discovery, cache, developerKey)
    281 
--> 282     resp, content = http.request(actual_url)
    283 

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\google_auth_httplib2.py in request(self, uri, method, body, headers, **kwargs)
    185 
--> 186         self.credentials.before_request(
    187             self._request, method, uri, request_headers)

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\google\auth\credentials.py in before_request(self, request, method, url, headers)
    123         if not self.valid:
--> 124             self.refresh(request)
    125         self.apply(headers)

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\google\oauth2\credentials.py in refresh(self, request)
    176 
--> 177         access_token, refresh_token, expiry, grant_response = _client.refresh_grant(
    178             request,

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\google\oauth2\_client.py in refresh_grant(request, token_uri, refresh_token, client_id, client_secret, scopes)
    247 
--> 248     response_data = _token_endpoint_request(request, token_uri, body)
    249 

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\google\oauth2\_client.py in _token_endpoint_request(request, token_uri, body)
    104     while True:
--> 105         response = request(method="POST", url=token_uri, headers=headers, body=body)
    106         response_body = (

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\google_auth_httplib2.py in __call__(self, url, method, body, headers, timeout, **kwargs)
    114             _LOGGER.debug('Making request: %s %s', method, url)
--> 115             response, data = self.http.request(
    116                 url, method=method, body=body, headers=headers, **kwargs)

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\httplib2\__init__.py in request(self, uri, method, body, headers, redirections, connection_type)
   1981                 else:
-> 1982                     (response, content) = self._request(
   1983                         conn,

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\httplib2\__init__.py in _request(self, conn, host, absolute_uri, request_uri, method, body, headers, redirections, cachekey)
   1649 
-> 1650         (response, content) = self._conn_request(
   1651             conn, request_uri, method, body, headers

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\httplib2\__init__.py in _conn_request(self, conn, request_uri, method, body, headers)
   1556                 if conn.sock is None:
-> 1557                     conn.connect()
   1558                 conn.request(method, request_uri, body, headers)

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\httplib2\__init__.py in connect(self)
   1390         if not self.sock:
-> 1391             raise socket_err
   1392 

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\httplib2\__init__.py in connect(self)
   1323                     sock.settimeout(self.timeout)
-> 1324                 sock.connect((self.host, self.port))
   1325 

TimeoutError: [WinError 10060] 由于连接方在一段时间后没有正确答复或连接的主机没有反应，连接尝试失败。

During handling of the above exception, another exception occurred:

TimeoutError                              Traceback (most recent call last)
<ipython-input-1-a950a1b8bb48> in <module>
      1 import geemap
----> 2 m=geemap.Map()
      3 m

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\geemap\geemap.py in __init__(self, **kwargs)
     42 
     43         # Authenticates Earth Engine and initializes an Earth Engine session
---> 44         ee_initialize()
     45 
     46         # Default map center location and zoom level

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\geemap\geemap.py in ee_initialize()
     26     except Exception as e:
     27         ee.Authenticate()
---> 28         ee.Initialize()
     29 
     30 

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\ee\__init__.py in Initialize(credentials, opt_url, use_cloud_api, cloud_api_key, http_transport, project)
    113   if credentials == 'persistent':
    114     credentials = data.get_persistent_credentials()
--> 115   data.initialize(
    116       credentials=credentials,
    117       api_base_url=(opt_url + '/api' if opt_url else None),

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\ee\data.py in initialize(credentials, api_base_url, tile_base_url, use_cloud_api, cloud_api_base_url, cloud_api_key, project, http_transport)
    208   _http_transport = http_transport
    209 
--> 210   _install_cloud_api_resource()
    211 
    212   if project is not None:

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\ee\data.py in _install_cloud_api_resource()
    278 
    279   timeout = (_deadline_ms / 1000.0) or None
--> 280   _cloud_api_resource = _cloud_api_utils.build_cloud_resource(
    281       _cloud_api_base_url,
    282       credentials=_credentials,

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\ee\_cloud_api_utils.py in build_cloud_resource(api_base_url, api_key, credentials, timeout, headers_supplier, response_inspector, http_transport, raw)
    140   else:
    141     alt_model = None
--> 142   resource = discovery.build(
    143       'earthengine',
    144       VERSION,

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\googleapiclient\_helpers.py in positional_wrapper(*args, **kwargs)
    132                 elif positional_parameters_enforcement == POSITIONAL_WARNING:
    133                     logger.warning(message)
--> 134             return wrapped(*args, **kwargs)
    135 
    136         return positional_wrapper

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\googleapiclient\discovery.py in build(serviceName, version, http, discoveryServiceUrl, developerKey, model, requestBuilder, credentials, cache_discovery, cache, client_options)
    222 
    223         try:
--> 224             content = _retrieve_discovery_doc(
    225                 requested_url, discovery_http, cache_discovery, cache, developerKey
    226             )

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\googleapiclient\discovery.py in _retrieve_discovery_doc(url, http, cache_discovery, cache, developerKey)
    280     logger.info("URL being requested: GET %s", actual_url)
    281 
--> 282     resp, content = http.request(actual_url)
    283 
    284     if resp.status >= 400:

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\google_auth_httplib2.py in request(self, uri, method, body, headers, **kwargs)
    184         request_headers = headers.copy() if headers is not None else {}
    185 
--> 186         self.credentials.before_request(
    187             self._request, method, uri, request_headers)
    188 

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\google\auth\credentials.py in before_request(self, request, method, url, headers)
    122         # the http request.)
    123         if not self.valid:
--> 124             self.refresh(request)
    125         self.apply(headers)
    126 

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\google\oauth2\credentials.py in refresh(self, request)
    175             )
    176 
--> 177         access_token, refresh_token, expiry, grant_response = _client.refresh_grant(
    178             request,
    179             self._token_uri,

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\google\oauth2\_client.py in refresh_grant(request, token_uri, refresh_token, client_id, client_secret, scopes)
    246         body["scope"] = " ".join(scopes)
    247 
--> 248     response_data = _token_endpoint_request(request, token_uri, body)
    249 
    250     try:

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\google\oauth2\_client.py in _token_endpoint_request(request, token_uri, body)
    103     # occurs.
    104     while True:
--> 105         response = request(method="POST", url=token_uri, headers=headers, body=body)
    106         response_body = (
    107             response.data.decode("utf-8")

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\google_auth_httplib2.py in __call__(self, url, method, body, headers, timeout, **kwargs)
    113         try:
    114             _LOGGER.debug('Making request: %s %s', method, url)
--> 115             response, data = self.http.request(
    116                 url, method=method, body=body, headers=headers, **kwargs)
    117             return _Response(response, data)

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\httplib2\__init__.py in request(self, uri, method, body, headers, redirections, connection_type)
   1980                     content = b""
   1981                 else:
-> 1982                     (response, content) = self._request(
   1983                         conn,
   1984                         authority,

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\httplib2\__init__.py in _request(self, conn, host, absolute_uri, request_uri, method, body, headers, redirections, cachekey)
   1648             auth.request(method, request_uri, headers, body)
   1649 
-> 1650         (response, content) = self._conn_request(
   1651             conn, request_uri, method, body, headers
   1652         )

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\httplib2\__init__.py in _conn_request(self, conn, request_uri, method, body, headers)
   1555             try:
   1556                 if conn.sock is None:
-> 1557                     conn.connect()
   1558                 conn.request(method, request_uri, body, headers)
   1559             except socket.timeout:

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\httplib2\__init__.py in connect(self)
   1389             break
   1390         if not self.sock:
-> 1391             raise socket_err
   1392 
   1393 

D:\Users\zwx\miniconda3\envs\gee\lib\site-packages\httplib2\__init__.py in connect(self)
   1322                 if has_timeout(self.timeout):
   1323                     sock.settimeout(self.timeout)
-> 1324                 sock.connect((self.host, self.port))
   1325 
   1326                 self.sock = self._context.wrap_socket(sock, server_hostname=self.host)

TimeoutError: [WinError 10060] 由于连接方在一段时间后没有正确答复或连接的主机没有反应，连接尝试失败。

• geemap version: 0.3.2
• Python version: 3.6
• Operating System: Windows

Description

I have run the example: geemap_and_earthengine.py on the Colab platform.However, no result output.
Then, I run the code on pycharm, AttributeError: module 'geemap' has no attribute 'Map'

Creating animations from ee.ImageCollection and exporting as a GIF with animated text.

• geemap version:0.6.6
• Python version:3.7.3
• Operating System:Mac

Description

Describe what you were trying to get done.
I am trying using my watershed baoundry(.shp) ('users/gaowudao/hybas_lake_as_lev06_v1c') to get the image in the specific watershed.
Tell us what happened, what went wrong, and what you expected to happen.
The error"Number.multiply: Parameter 'left' is required" occured

What I Did

Paste the command(s) you ran and the output.
import geemap
from ipyleaflet import *
from ipywidgets import *
from geemap.eelib import *

Map = geemap.Map(center=(120, 40), zoom=4)
Map.default_style = {'cursor': 'pointer'}
Map

Map.setOptions('ROADMAP')

HUC6 = ee.FeatureCollection('users/gaowudao/hybas_lake_as_lev06_v1c');  

# Add HUC layer to the map
Map.setCenter(120.00, 47.01, 8);
Map.addLayer(ee.Image().paint(HUC6, 0, 1), {}, 'HUC-6 Watershed')   # HUC10 for the entire U.S.

label = Label("Click on the map to select a watershed")
widget_control = WidgetControl(widget=label, position='bottomright')
Map.add_control(widget_control)

layer = None

def handle_interaction(**kwargs):
    latlon = kwargs.get('coordinates')
    if kwargs.get('type') == 'click':
        Map.default_style = {'cursor': 'wait'}
        xy = ee.Geometry.Point(latlon[::-1])
        watershed = HUC6.filterBounds(xy)
        huc6_id = watershed.first().get('basin').getInfo()
        Map.layers = Map.layers[:3]
        Map.addLayer(ee.Image().paint(watershed, 0, 2), {'palette': 'red'}, 'HUC ID: ' + huc6_id) 
        
        NAIP_images = findNAIP(watershed)
        first_image = ee.Image(NAIP_images.toList(5).get(0))
        Map.addLayer(first_image, {'bands': ['N', 'R', 'G']}, 'first image')
#          count = NAIP_images.size().getInfo()
#          for i in range(0, count):
#              image = ee.Image(NAIP_images.toList(count).get(i))
#              Map.addLayer(image, {'bands': ['N', 'R', 'G']}, str(i))
        
        Map.default_style = {'cursor': 'pointer'}

Map.on_interaction(handle_interaction)

Map
If there was a crash, please include the traceback here.
---------------------------------------------------------------------------
HttpError                                 Traceback (most recent call last)
~/opt/anaconda3/lib/python3.7/site-packages/ee/data.py in _execute_cloud_call(call, num_retries)
    337   try:
--> 338     return call.execute(num_retries=num_retries)
    339   except apiclient.errors.HttpError as e:

~/opt/anaconda3/lib/python3.7/site-packages/googleapiclient/_helpers.py in positional_wrapper(*args, **kwargs)
    133                     logger.warning(message)
--> 134             return wrapped(*args, **kwargs)
    135 

~/opt/anaconda3/lib/python3.7/site-packages/googleapiclient/http.py in execute(self, http, num_retries)
    897         if resp.status >= 300:
--> 898             raise HttpError(resp, content, uri=self.uri)
    899         return self.postproc(resp, content)

HttpError: <HttpError 400 when requesting https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/maps?fields=name&alt=json returned "Number.multiply: Parameter 'left' is required.">

During handling of the above exception, another exception occurred:

EEException                               Traceback (most recent call last)
<ipython-input-12-c2f4a242aeb9> in handle_interaction(**kwargs)
     34         NAIP_images = findNAIP(watershed)
     35         first_image = ee.Image(NAIP_images.toList(5).get(0))
---> 36         Map.addLayer(first_image, {'bands': ['N', 'R', 'G']}, 'first image')
     37 #          count = NAIP_images.size().getInfo()
     38 #          for i in range(0, count):

~/opt/anaconda3/lib/python3.7/site-packages/geemap/geemap.py in add_ee_layer(self, ee_object, vis_params, name, shown, opacity)
    409             image = ee_object.mosaic()
    410 
--> 411         map_id_dict = ee.Image(image).getMapId(vis_params)
    412         tile_layer = ipyleaflet.TileLayer(
    413             url=map_id_dict['tile_fetcher'].url_format,

~/opt/anaconda3/lib/python3.7/site-packages/ee/image.py in getMapId(self, vis_params)
    129     vis_image, request = self._apply_visualization(vis_params)
    130     request['image'] = vis_image
--> 131     response = data.getMapId(request)
    132     response['image'] = self
    133     return response

~/opt/anaconda3/lib/python3.7/site-packages/ee/data.py in getMapId(params)
    589         parent=_get_projects_path(),
    590         fields='name',
--> 591         body=request))
    592     map_name = result['name']
    593     url_format = '%s/%s/%s/tiles/{z}/{x}/{y}' % (

~/opt/anaconda3/lib/python3.7/site-packages/ee/data.py in _execute_cloud_call(call, num_retries)
    338     return call.execute(num_retries=num_retries)
    339   except apiclient.errors.HttpError as e:
--> 340     raise _translate_cloud_exception(e)
    341 
    342 

EEException: Number.multiply: Parameter 'left' is required.

• geemap version: 0.6.13.
• Python version: 3.8.2
• Operating System: Linux

Description

I am trying to convert a shapefile to ee object to display on map. The shapefile imports successfully using GEE Code Editor, but when adding it to a map in Jupyter Lab, I get 'EEException: Request payload size exceeds the limit: 4194304 bytes.'

What I Did

import geemap
import ee
#geemap.update_package()

Map = geemap.Map()
Map

#add CB shapefile
CB_shp = '/home/silsbelab/Downloads/CB.shp'
CB = geemap.shp_to_ee(CB_shp) #converts shp to ee object
Map.addLayer(CB)
---------------------------------------------------------------------------
HttpError                                 Traceback (most recent call last)
~/anaconda2/envs/gee/lib/python3.8/site-packages/ee/data.py in _execute_cloud_call(call, num_retries)
    337   try:
--> 338     return call.execute(num_retries=num_retries)
    339   except googleapiclient.errors.HttpError as e:

~/anaconda2/envs/gee/lib/python3.8/site-packages/googleapiclient/_helpers.py in positional_wrapper(*args, **kwargs)
    133                     logger.warning(message)
--> 134             return wrapped(*args, **kwargs)
    135 

~/anaconda2/envs/gee/lib/python3.8/site-packages/googleapiclient/http.py in execute(self, http, num_retries)
    906         if resp.status >= 300:
--> 907             raise HttpError(resp, content, uri=self.uri)
    908         return self.postproc(resp, content)

HttpError: <HttpError 400 when requesting https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/maps?fields=name&amp;alt=json returned "Request payload size exceeds the limit: 4194304 bytes.">

During handling of the above exception, another exception occurred:

EEException                               Traceback (most recent call last)
<ipython-input-4-0302c7a9e3c9> in <module>
----> 1 Map.addLayer(CB)

~/anaconda2/envs/gee/lib/python3.8/site-packages/geemap/geemap.py in add_ee_layer(self, ee_object, vis_params, name, shown, opacity)
    772             image = ee_object.mosaic()
    773 
--> 774         map_id_dict = ee.Image(image).getMapId(vis_params)
    775         tile_layer = ipyleaflet.TileLayer(
    776             url=map_id_dict['tile_fetcher'].url_format,

~/anaconda2/envs/gee/lib/python3.8/site-packages/ee/image.py in getMapId(self, vis_params)
    129     vis_image, request = self._apply_visualization(vis_params)
    130     request['image'] = vis_image
--> 131     response = data.getMapId(request)
    132     response['image'] = self
    133     return response

~/anaconda2/envs/gee/lib/python3.8/site-packages/ee/data.py in getMapId(params)
    586     # Make it return only the name field, as otherwise it echoes the entire
    587     # request, which might be large.
--> 588     result = _execute_cloud_call(_cloud_api_resource.projects().maps().create(
    589         parent=_get_projects_path(),
    590         fields='name',

~/anaconda2/envs/gee/lib/python3.8/site-packages/ee/data.py in _execute_cloud_call(call, num_retries)
    338     return call.execute(num_retries=num_retries)
    339   except googleapiclient.errors.HttpError as e:
--> 340     raise _translate_cloud_exception(e)
    341 
    342 

EEException: Request payload size exceeds the limit: 4194304 bytes.

• geemap version: 0.6.10
• Python version: 3.7.6
• Operating System: macOS 10.15.4

Description

Currently, whenever a Folium map is added, a basemap ("Google Satellite" by default) is added:

        ee_basemaps['HYBRID'].add_to(self)

Correponding to the line 198 of the eefolium.py file.

Could this be done optionally with some parameter?

What I Did

Map = emap.Map()

It would nice to be able to add a legend of an Earth Engine thematic data layer (e.g., classified image) to the map.

This will allow users to export an ipyleaflet map with Earth Engine layers as HTML or PNG

• geemap version:
• Python version:
• Operating System:

Description

I have followed the steps on the video 8 about conversion from earth engine to jupyter notebook after the conversion done I open the script but the notebook can't run I got this message: A connection to the notebook server could not be established. The notebook will continue trying to reconnect. Check your network connection or notebook server configuration

What I Did

Paste the command(s) you ran and the output.
If there was a crash, please include the traceback here.

It would be nice if geemap users can automatically convert shapefiles to Earth Engine objects without having to upload shapefiles to Earth Engine cloud.

Google colab with pip install

Description

I clicked on the Google colab button in the repo, opened it and ran it. geemap.eefolium did give me back a map, but the standard geemap not. Since I would like to use the advanced features of split map etc, I rely on the standard function.

What I Did

I opened https://gishub.org/geemap-colab and executed one cell after the other.
no crash here, the output just remains empty.

• geemap version:
• Python version:
• Operating System:

Description

Create popup in addition / instead of the inspector and show for example the label instead of the value.

What I Did

Paste the command(s) you ran and the output.
If there was a crash, please include the traceback here.

• geemap version:0.6.3
• Python version:3.7
• Operating System:Mac

Description

To create an ipyleaflet-based interactive map:

What I Did

import geemap
Map = geemap.Map(center=[40,-100], zoom=4)
Map

The authorization workflow will generate a code, which you should paste in the box below

Enter verification code: 4/ygHh6q9jZKNxNFZGzqyBdZ_hDzh2RWWUdByY16Q6Jv2eXm5eCTTnTV4

Successfully saved authorization token.

If there was a crash, please include the traceback here.

TimeoutError Traceback (most recent call last)
~/opt/anaconda3/lib/python3.7/site-packages/urllib3/connection.py in _new_conn(self)
156 conn = connection.create_connection(
--> 157 (self._dns_host, self.port), self.timeout, **extra_kw
158 )

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/util/connection.py in create_connection(address, timeout, source_address, socket_options)
83 if err is not None:
---> 84 raise err
85

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/util/connection.py in create_connection(address, timeout, source_address, socket_options)
73 sock.bind(source_address)
---> 74 sock.connect(sa)
75 return sock

TimeoutError: [Errno 60] Operation timed out

During handling of the above exception, another exception occurred:

NewConnectionError Traceback (most recent call last)
~/opt/anaconda3/lib/python3.7/site-packages/httplib2shim/init.py in _conn_request(self, conn, request_uri, method, body, headers)
147 timeout=urllib3.Timeout(total=self.timeout),
--> 148 decode_content=decode)
149

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/request.py in request(self, method, url, fields, headers, **urlopen_kw)
79 return self.request_encode_body(
---> 80 method, url, fields=fields, headers=headers, **urlopen_kw
81 )

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/request.py in request_encode_body(self, method, url, fields, headers, encode_multipart, multipart_boundary, **urlopen_kw)
170
--> 171 return self.urlopen(method, url, **extra_kw)

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/poolmanager.py in urlopen(self, method, url, redirect, **kw)
329 else:
--> 330 response = conn.urlopen(method, u.request_uri, **kw)
331

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/connectionpool.py in urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
719 retries = retries.increment(
--> 720 method, url, error=e, _pool=self, _stacktrace=sys.exc_info()[2]
721 )

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/util/retry.py in increment(self, method, url, response, error, _pool, _stacktrace)
375 # Disabled, indicate to re-raise the error.
--> 376 raise six.reraise(type(error), error, _stacktrace)
377

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/packages/six.py in reraise(tp, value, tb)
734 raise value.with_traceback(tb)
--> 735 raise value
736 finally:

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/connectionpool.py in urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
671 headers=headers,
--> 672 chunked=chunked,
673 )

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/connectionpool.py in _make_request(self, conn, method, url, timeout, chunked, **httplib_request_kw)
375 try:
--> 376 self._validate_conn(conn)
377 except (SocketTimeout, BaseSSLError) as e:

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/connectionpool.py in _validate_conn(self, conn)
993 if not getattr(conn, "sock", None): # AppEngine might not have .sock
--> 994 conn.connect()
995

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/connection.py in connect(self)
299 # Add certificate verification
--> 300 conn = self._new_conn()
301 hostname = self.host

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/connection.py in _new_conn(self)
168 raise NewConnectionError(
--> 169 self, "Failed to establish a new connection: %s" % e
170 )

NewConnectionError: <urllib3.connection.VerifiedHTTPSConnection object at 0x11bf026d0>: Failed to establish a new connection: [Errno 60] Operation timed out

During handling of the above exception, another exception occurred:

timeout Traceback (most recent call last)
~/opt/anaconda3/lib/python3.7/site-packages/geemap/geemap.py in ee_initialize()
19 try:
---> 20 ee.Initialize()
21 except Exception as e:

~/opt/anaconda3/lib/python3.7/site-packages/ee/init.py in Initialize(credentials, opt_url, use_cloud_api, cloud_api_key, http_transport, project)
122 project=project,
--> 123 http_transport=http_transport)
124 # Initialize the dynamically loaded functions on the objects that want them.

~/opt/anaconda3/lib/python3.7/site-packages/ee/data.py in initialize(credentials, api_base_url, tile_base_url, use_cloud_api, cloud_api_base_url, cloud_api_key, project, http_transport)
209
--> 210 _install_cloud_api_resource()
211

~/opt/anaconda3/lib/python3.7/site-packages/ee/data.py in _install_cloud_api_resource()
286 response_inspector=_handle_profiling_response,
--> 287 http_transport=_http_transport)
288

~/opt/anaconda3/lib/python3.7/site-packages/ee/_cloud_api_utils.py in build_cloud_resource(api_base_url, api_key, credentials, timeout, headers_supplier, response_inspector, http_transport, raw)
148 requestBuilder=request_builder,
--> 149 model=alt_model)
150 return resource

~/opt/anaconda3/lib/python3.7/site-packages/googleapiclient/_helpers.py in positional_wrapper(*args, **kwargs)
133 logger.warning(message)
--> 134 return wrapped(*args, **kwargs)
135

~/opt/anaconda3/lib/python3.7/site-packages/googleapiclient/discovery.py in build(serviceName, version, http, discoveryServiceUrl, developerKey, model, requestBuilder, credentials, cache_discovery, cache, client_options)
224 content = _retrieve_discovery_doc(
--> 225 requested_url, discovery_http, cache_discovery, cache, developerKey
226 )

~/opt/anaconda3/lib/python3.7/site-packages/googleapiclient/discovery.py in _retrieve_discovery_doc(url, http, cache_discovery, cache, developerKey)
281
--> 282 resp, content = http.request(actual_url)
283

~/opt/anaconda3/lib/python3.7/site-packages/google_auth_httplib2.py in request(self, uri, method, body, headers, **kwargs)
186 self.credentials.before_request(
--> 187 self._request, method, uri, request_headers)
188

~/opt/anaconda3/lib/python3.7/site-packages/google/auth/credentials.py in before_request(self, request, method, url, headers)
123 if not self.valid:
--> 124 self.refresh(request)
125 self.apply(headers)

~/opt/anaconda3/lib/python3.7/site-packages/google/oauth2/credentials.py in refresh(self, request)
182 self._client_secret,
--> 183 self._scopes,
184 )

~/opt/anaconda3/lib/python3.7/site-packages/google/oauth2/_client.py in refresh_grant(request, token_uri, refresh_token, client_id, client_secret, scopes)
247
--> 248 response_data = _token_endpoint_request(request, token_uri, body)
249

~/opt/anaconda3/lib/python3.7/site-packages/google/oauth2/_client.py in _token_endpoint_request(request, token_uri, body)
104 while True:
--> 105 response = request(method="POST", url=token_uri, headers=headers, body=body)
106 response_body = (

~/opt/anaconda3/lib/python3.7/site-packages/google_auth_httplib2.py in call(self, url, method, body, headers, timeout, **kwargs)
115 response, data = self.http.request(
--> 116 url, method=method, body=body, headers=headers, **kwargs)
117 return _Response(response, data)

~/opt/anaconda3/lib/python3.7/site-packages/httplib2/init.py in request(self, uri, method, body, headers, redirections, connection_type)
1990 redirections,
-> 1991 cachekey,
1992 )

~/opt/anaconda3/lib/python3.7/site-packages/httplib2/init.py in _request(self, conn, host, absolute_uri, request_uri, method, body, headers, redirections, cachekey)
1650 (response, content) = self._conn_request(
-> 1651 conn, request_uri, method, body, headers
1652 )

~/opt/anaconda3/lib/python3.7/site-packages/httplib2shim/init.py in _conn_request(self, conn, request_uri, method, body, headers)
153 except Exception as e:
--> 154 raise _map_exception(e)
155

timeout: timed out

During handling of the above exception, another exception occurred:

TimeoutError Traceback (most recent call last)
~/opt/anaconda3/lib/python3.7/site-packages/urllib3/connection.py in _new_conn(self)
156 conn = connection.create_connection(
--> 157 (self._dns_host, self.port), self.timeout, **extra_kw
158 )

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/util/connection.py in create_connection(address, timeout, source_address, socket_options)
83 if err is not None:
---> 84 raise err
85

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/util/connection.py in create_connection(address, timeout, source_address, socket_options)
73 sock.bind(source_address)
---> 74 sock.connect(sa)
75 return sock

TimeoutError: [Errno 60] Operation timed out

During handling of the above exception, another exception occurred:

NewConnectionError Traceback (most recent call last)
~/opt/anaconda3/lib/python3.7/site-packages/httplib2shim/init.py in _conn_request(self, conn, request_uri, method, body, headers)
147 timeout=urllib3.Timeout(total=self.timeout),
--> 148 decode_content=decode)
149

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/request.py in request(self, method, url, fields, headers, **urlopen_kw)
79 return self.request_encode_body(
---> 80 method, url, fields=fields, headers=headers, **urlopen_kw
81 )

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/request.py in request_encode_body(self, method, url, fields, headers, encode_multipart, multipart_boundary, **urlopen_kw)
170
--> 171 return self.urlopen(method, url, **extra_kw)

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/poolmanager.py in urlopen(self, method, url, redirect, **kw)
329 else:
--> 330 response = conn.urlopen(method, u.request_uri, **kw)
331

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/connectionpool.py in urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
719 retries = retries.increment(
--> 720 method, url, error=e, _pool=self, _stacktrace=sys.exc_info()[2]
721 )

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/util/retry.py in increment(self, method, url, response, error, _pool, _stacktrace)
375 # Disabled, indicate to re-raise the error.
--> 376 raise six.reraise(type(error), error, _stacktrace)
377

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/packages/six.py in reraise(tp, value, tb)
734 raise value.with_traceback(tb)
--> 735 raise value
736 finally:

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/connectionpool.py in urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
671 headers=headers,
--> 672 chunked=chunked,
673 )

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/connectionpool.py in _make_request(self, conn, method, url, timeout, chunked, **httplib_request_kw)
375 try:
--> 376 self._validate_conn(conn)
377 except (SocketTimeout, BaseSSLError) as e:

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/connectionpool.py in _validate_conn(self, conn)
993 if not getattr(conn, "sock", None): # AppEngine might not have .sock
--> 994 conn.connect()
995

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/connection.py in connect(self)
299 # Add certificate verification
--> 300 conn = self._new_conn()
301 hostname = self.host

~/opt/anaconda3/lib/python3.7/site-packages/urllib3/connection.py in _new_conn(self)
168 raise NewConnectionError(
--> 169 self, "Failed to establish a new connection: %s" % e
170 )

NewConnectionError: <urllib3.connection.VerifiedHTTPSConnection object at 0x108bb05d0>: Failed to establish a new connection: [Errno 60] Operation timed out

During handling of the above exception, another exception occurred:

timeout Traceback (most recent call last)
in
----> 1 Map = geemap.Map(center=[40,-100], zoom=4)
2 Map

~/opt/anaconda3/lib/python3.7/site-packages/geemap/geemap.py in init(self, **kwargs)
37
38 # Authenticates Earth Engine and initialize an Earth Engine session
---> 39 ee_initialize()
40
41 # Default map center location and zoom level

~/opt/anaconda3/lib/python3.7/site-packages/geemap/geemap.py in ee_initialize()
21 except Exception as e:
22 ee.Authenticate()
---> 23 ee.Initialize()
24
25

~/opt/anaconda3/lib/python3.7/site-packages/ee/init.py in Initialize(credentials, opt_url, use_cloud_api, cloud_api_key, http_transport, project)
121 cloud_api_key=cloud_api_key,
122 project=project,
--> 123 http_transport=http_transport)
124 # Initialize the dynamically loaded functions on the objects that want them.
125 ApiFunction.initialize()

~/opt/anaconda3/lib/python3.7/site-packages/ee/data.py in initialize(credentials, api_base_url, tile_base_url, use_cloud_api, cloud_api_base_url, cloud_api_key, project, http_transport)
208 _http_transport = http_transport
209
--> 210 _install_cloud_api_resource()
211
212 if project is not None:

~/opt/anaconda3/lib/python3.7/site-packages/ee/data.py in _install_cloud_api_resource()
285 headers_supplier=_make_request_headers,
286 response_inspector=_handle_profiling_response,
--> 287 http_transport=_http_transport)
288
289 _cloud_api_resource_raw = _cloud_api_utils.build_cloud_resource(

~/opt/anaconda3/lib/python3.7/site-packages/ee/_cloud_api_utils.py in build_cloud_resource(api_base_url, api_key, credentials, timeout, headers_supplier, response_inspector, http_transport, raw)
147 http=http_transport,
148 requestBuilder=request_builder,
--> 149 model=alt_model)
150 return resource
151

~/opt/anaconda3/lib/python3.7/site-packages/googleapiclient/_helpers.py in positional_wrapper(*args, **kwargs)
132 elif positional_parameters_enforcement == POSITIONAL_WARNING:
133 logger.warning(message)
--> 134 return wrapped(*args, **kwargs)
135
136 return positional_wrapper

~/opt/anaconda3/lib/python3.7/site-packages/googleapiclient/discovery.py in build(serviceName, version, http, discoveryServiceUrl, developerKey, model, requestBuilder, credentials, cache_discovery, cache, client_options)
223 try:
224 content = _retrieve_discovery_doc(
--> 225 requested_url, discovery_http, cache_discovery, cache, developerKey
226 )
227 return build_from_document(

~/opt/anaconda3/lib/python3.7/site-packages/googleapiclient/discovery.py in _retrieve_discovery_doc(url, http, cache_discovery, cache, developerKey)
280 logger.info("URL being requested: GET %s", actual_url)
281
--> 282 resp, content = http.request(actual_url)
283
284 if resp.status >= 400:

~/opt/anaconda3/lib/python3.7/site-packages/google_auth_httplib2.py in request(self, uri, method, body, headers, **kwargs)
185
186 self.credentials.before_request(
--> 187 self._request, method, uri, request_headers)
188
189 # Check if the body is a file-like stream, and if so, save the body

~/opt/anaconda3/lib/python3.7/site-packages/google/auth/credentials.py in before_request(self, request, method, url, headers)
122 # the http request.)
123 if not self.valid:
--> 124 self.refresh(request)
125 self.apply(headers)
126

~/opt/anaconda3/lib/python3.7/site-packages/google/oauth2/credentials.py in refresh(self, request)
181 self._client_id,
182 self._client_secret,
--> 183 self._scopes,
184 )
185

~/opt/anaconda3/lib/python3.7/site-packages/google/oauth2/_client.py in refresh_grant(request, token_uri, refresh_token, client_id, client_secret, scopes)
246 body["scope"] = " ".join(scopes)
247
--> 248 response_data = _token_endpoint_request(request, token_uri, body)
249
250 try:

~/opt/anaconda3/lib/python3.7/site-packages/google/oauth2/_client.py in _token_endpoint_request(request, token_uri, body)
103 # occurs.
104 while True:
--> 105 response = request(method="POST", url=token_uri, headers=headers, body=body)
106 response_body = (
107 response.data.decode("utf-8")

~/opt/anaconda3/lib/python3.7/site-packages/google_auth_httplib2.py in call(self, url, method, body, headers, timeout, **kwargs)
114 _LOGGER.debug('Making request: %s %s', method, url)
115 response, data = self.http.request(
--> 116 url, method=method, body=body, headers=headers, **kwargs)
117 return _Response(response, data)
118 except httplib2.HttpLib2Error as exc:

~/opt/anaconda3/lib/python3.7/site-packages/httplib2/init.py in request(self, uri, method, body, headers, redirections, connection_type)
1989 headers,
1990 redirections,
-> 1991 cachekey,
1992 )
1993 except Exception as e:

~/opt/anaconda3/lib/python3.7/site-packages/httplib2/init.py in _request(self, conn, host, absolute_uri, request_uri, method, body, headers, redirections, cachekey)
1649
1650 (response, content) = self._conn_request(
-> 1651 conn, request_uri, method, body, headers
1652 )
1653

~/opt/anaconda3/lib/python3.7/site-packages/httplib2shim/init.py in _conn_request(self, conn, request_uri, method, body, headers)
152
153 except Exception as e:
--> 154 raise _map_exception(e)
155
156 return response, content

timeout: timed out

• geemap version: 0.6.13
• Python version: 3.8.2
• Operating System: Win10 64bit

Description

When i use geemap in Jupyterlab, the Map function can not output the map, instead of

Map(center=[40, -100], controls=(WidgetControl(options=['position'], widget=HBox(children=(ToggleButton(value=…

So, is there possible to let geemap support Jupyterlab development?

What i do

Codes 1:

import geemap
Map = geemap.Map(center=[40,-100], zoom=4)
Map

Output 1:

Map(center=[40, -100], controls=(WidgetControl(options=['position'], widget=HBox(children=(ToggleButton(value=…

Codes 2:

import geemap.eefolium as emap
Map = emap.Map(center=[40,-100], zoom=4)
Map

Output 2: Normal map.

Feature improve

Supporting ipyleaflet under Jupyterlab with geemap.

• geemap version: 0.6.13.
• Python version: 3.8.2
• Operating System: Linux

Description

I am using JupyterLab a to run notebook example 21_export_map_to_html_png.ipynb and do not see an export (wrench) icon on my map.

When I try to run the provided code using Map.to_html and Map.to_image I get AttributeError: 'Map' object has no attribute 'to_html'.

These two issues happen on both jupyter notebook and Jupyter Lab

What I Did

Map = geemap.Map()
Map
# Add Earth Engine datasets
dem = ee.Image('USGS/SRTMGL1_003')
landcover = ee.Image("ESA/GLOBCOVER_L4_200901_200912_V2_3").select('landcover')
landsat7 = ee.Image('LE7_TOA_5YEAR/1999_2003')
states = ee.FeatureCollection("TIGER/2018/States")

# Set visualization parameters.
vis_params = {
  'min': 0,
  'max': 4000,
  'palette': ['006633', 'E5FFCC', '662A00', 'D8D8D8', 'F5F5F5']}

# Add Earth Eninge layers to Map
Map.addLayer(dem, vis_params, 'STRM DEM', True, 0.5)
Map.addLayer(landcover, {}, 'Land cover')
Map.addLayer(landsat7, {'bands': ['B4', 'B3', 'B2'], 'min': 20, 'max': 200}, 'Landsat 7')
Map.addLayer(states, {}, "US States")
*see no icon*


#export map as html
import os
#declare where to download output
download_dir = os.path.join(os.path.expanduser('~'), 'Downloads')
html_file = os.path.join(download_dir, 'my_map.html')
Map.to_html(outfile=html_file, title='My Map', width='100%', height='880px')
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-28-63cbb236e2de> in <module>
----> 1 Map.to_html(outfile=html_file, title='My Map', width='100%', height='880px')

AttributeError: 'Map' object has no attribute 'to_html'

• geemap version:
• Python version:
• Operating System:

Description

Describe what you were trying to get done.
Tell us what happened, what went wrong, and what you expected to happen.

What I Did

Paste the command(s) you ran and the output.
If there was a crash, please include the traceback here.

• geemap version:
• Python version:
• Operating System:

Description

Describe what you were trying to get done.
Tell us what happened, what went wrong, and what you expected to happen.

What I Did

Paste the command(s) you ran and the output.
If there was a crash, please include the traceback here.

Have you considered moving from https://github.com/DenisCarriere/geocoder to https://pypi.org/project/geopy which seems to provide a much vaster list of services? I admit I'm not too familiar with https://github.com/DenisCarriere/geocoder, but it seems to be not that actively maintained in comparison, and I wrote the HERE plugin for geopy which e.g. also gives you polygons in some cases. And I saw the stellar support from the maintainer of the package and its very nice architecture. Just an idea...

Hi @giswqs, seeing the PR of @Ojaybee I was wondering if you are interested in using Github action rather Travis and Appveyor for geemap. I could work in build the .yaml file to run tests in MacOS, Windows, and Linux. Let me know if you'd rather stick to Travis and Appveyor for now.

• geemap version: 0.6.10
• Python version: 3.6.9
• Operating System: 18.04.4

Description

I was trying to run this example from the video as it is. and I noticed that graph on the bottom right appears too small infact it is mere dot. While the use inspector toggle was working fine.

What I Did

import ee
import geemap

Map = geemap.Map(center=(28.5934, 77.2223), zoom=4)
landsat7 = ee.Image('LE7_TOA_5YEAR/1999_2003') \
    .select([0, 1, 2, 3, 4, 6])
landsat_vis = {
    'bands': ['B4', 'B3', 'B2'], 
    'gamma': 1.4
}
Map.addLayer(landsat7, landsat_vis, "LE7_TOA_5YEAR/1999_2003")
Map.set_plot_options(plot_type='line')
Map

I also tried this

m = geemap.Map(center=(28.5934, 77.2223), zoom=4)
m.plot_demo()
m

Here's is snapshot of the output

• geemap version:0.6.10
• Python version:3.7.4
• Operating System:win

Description

1. The parameter of "region" in ee_export_image is not the real output extent. The minimum enclosing rectangle of "region" is.
2. Why a zip file was also created, even though I did not click that link.

This will allow users to simply draw a rectangle on the map to create a Landsat annual time-series (1984-2019). The resulting ImageCollection can be used to create animations. A big thanks to Justin Braaten @jdbcode for sharing both the Python and JavaScript source code for his fantastic lt-gee-time-series-animator. I will adapt his Python code and implement in geemap.

• https://github.com/jdbcode/Snazzy-EE-TS-GIF
• https://gist.github.com/jdbcode/76b9ac49faf51627ebd3ff988e10adbc