arjancodes / 2022-dash

Dash tutorial series

In this video series, I show you how to set up data visualization using Plotly Dash in Python in a few easy steps. This is a three-part miniseries. In part 1, I show the basics of Dash. In part 2 I dive more deeply into loading, filtering and displaying data. And finally in part 3, I cover a few ways to improve the design and make the application more ready for production.

Video part 1: https://youtu.be/XOFrvzWFM7Y.

Video part 2: https://youtu.be/GlRauKqI08Y.

Video part 3: https://youtu.be/L_KlPZ5qBOU.

2022-dash's Issues

[ERROR] Parsing dates as string, but should be parsed with `parse_dates`

2022-dash/part3/src/data/loader.py

Line 57 in a0e56e0

DataSchema.DATE: str,

Hi Arjan,

if you process the date as a string, the following error is thrown:

AttributeError: Can only use .dt accessor with datetimelike values

I think you should remove this line, as you actually parse the date column later as a date (with parse_dates=[DataSchema.DATE]).

Best regards,
Robbin

Minor updates to get project working locally for me

Hi, thanks for creating this great project and series!!

When I started running the code I had to do two minor updates to get everything working locally on my Macbook m1 machine. I might have missed a prerequisite step(s) where you covered these in which case, my apologies for missing them.

In the "./environment/requirements.txt" file, I had to change python-i18n to python-i18n[YAML] to have the i18n translations recognize the yaml file values.

In the "./environment/README.md" file, I was using the pip install version and had to change python -m pip install ./environment/requirements.txt to python -m pip install -r ./environment/requirements.txt