Topic: citypy Goto Github
Some thing interesting about citypy
Some thing interesting about citypy
citypy,Analysis using Jupyter Notebook, CityPy, Pandas Dataframe, Matplotlibs, Jupyter GMaps, and Google APIs.
User: amylio
citypy,"What's the weather like as we approach the equator?"
User: bhavinidata
citypy,Weather Analysis as approaching to equator.
User: bhavinidata
Home Page: https://bhavinidata.github.io/Weather-Analysis/
citypy,Python API Requests & JSON Traversals Visualizing the Weather of 500+ World Cities
User: bigbluey
citypy,Use APIs to visualize weather data
User: dylansteinhauer
citypy,Analysis & graphic visualization of the weather of 500+ cities across the world.
User: farhadomidvar
Home Page: http://farhadomidvar.com/weatherpy-web-visualisation/
citypy,Python API Requests & JSON Visualizing the Weather of 500+ Cities Around the World
User: hanyang2019
Home Page: https://hanyang2019.github.io/Weather_API/
citypy,This project is in two parts. First, WeatherPy visualizes the weather of 500+ cities across the world of varying distances from the equator, using Python script, CityPy, and OpenWeatherMap APIs. The second part, VacationPy, uses Jupiter-Gmaps and the Google Places API to create a heatmap and filter down cities.
User: karla-flores
citypy,Python-based NumPy & SciPy Statistical Analysis of Latitude Position vs Weather Performed on a 500+ City Data Set Created by Python CityPy & OpenWeatherMap API Representative of Weather Worldwide
User: kiranrangaraj
citypy,Analyze World Weather and Create a Travel Itinerary using Pandas, Matplotlib, SciPy statistics., Citipy, Weather Map API, Gmaps API and Jupyter Notebook.
User: leonardoaleix0
citypy,This project analyzes top vacation cities based on weather data from Open Weather's API and is visualized using Google Map's API.
User: madinalikes
citypy,Visualizing weather and Gmaps locations using a live API
User: maximizo
citypy,Analysis & graphic visualization of the weather of 500+ cities across the world.
User: mona-arami
citypy,Visualization analysis of weather in 500+ cities at different latitudes relative to the equator line. The visualizations show temperature, humidity, cloudiness, wind speed using OpenWeatherMap API and Citypy module.
User: mserobabina
citypy,Analysis using Jupyter Notebook, CityPy, Pandas Dataframe, Matplotlibs, Jupyter GMaps, and Google APIs.
User: munno88
citypy,This project is in two parts. The first part (WeatherPy) visualizes the weather of 500+ cities across the world of varying distance from the equator, using Python script, CityPy and OpenWeatherMap APIs. The second part (VacationPy) uses jupyter-gmaps and the Google Places API to create a heatmap of these cities, filter down to the cities with an ideal weather condition and find the nearest hotel.
User: neha-nayeem
citypy,Maps visualizing relationship between weather data and hotel locations
User: nikoelvambuena95
citypy,Using OpenWeatherMap API, retrieve the JSON weather data from different cities. Using Matplotlib, create a series of scatter plots showing relationship between the latitude and a variety of weather parameters for over 1500 cities around the world. Perform statistical calculations on the weather parameters using linear regression to predict future weather in chosen cities.
User: oxanadrotieva
citypy,Dashboard with Visualization analysis of weather in 500+ cities at different latitudes relative to the equator line. The visualizations show temperature, humidity, cloudiness, wind speed.
User: piterbrito
citypy,Dashboard that contains visualizations of weather data from approximately 500 cities around the world.
User: remco-mooij
citypy,I used Python, Jupyter Notebook and the city PI module to get the cities for more than 700 random latitudes and longitudes then I requested on the open weather map API and retrieve the JSON weather data from these cities. I then added the weather data to the Pandaβs dataframe. From there I used Matplotlib to create a series of scatter plots to show the relationship between the latitude and a variety of weather parameters . Completed a series of statistical calculations on the data using linear regression on the weather parameters. This data helped my team predict the best time of the year for people to plan their vacation. Finally, I exported the data, cleaned it and used the weather data to choose the best cities for a vacation based on certain weather criteria and then mapped these cities using Jupyter G Maps and the Google Places API.
User: robertfnicholson
citypy,Python API Requests & JSON Traversals Visualizing the Weather of 500+ World Cities using OpenWeatherMap API
User: rubalbhullar
citypy,The purpose of this project is to collect, analyze and visualize weather data across cities worldwide and to provide travelers with a tool that will allow them to determine their travel destination based on weather conditions.
User: sainigagandeep
citypy,This project analyzes weather data using the Open Weather API. Demonstrates use of numpy, citipy, json, performing an API call using specific API keys, transforming API responses into a dataframe, and creating visualizations of data collected from API.
User: shargr2
citypy,This is a python script to visualize the weather of 500+ cities across the world of varying distance from the equator.
User: sid83
citypy,Top vacation cities are analyzed using data from Open Weather API. It is then visualized using Google Maps API.
User: smunsell07
citypy,API and Weather Data visualization: Data Visualization based on weather data, vacation itinerary and vacation search
User: utsavchaudharygithub
citypy,Analyzing weather patterns with respect to latitude.
User: zunicd
Home Page: https://zunicd.github.io/Web-Design-Challenge/
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