This repository code-snippet
is for frequently used code.
Some of them are open-sourced, and some are self-written.
Below are the list of them with proper links.
-
geocoding with
folium
,geopandas
andgeojson
1.1. interactive geocoding withfolium
[Link]
1.2. tips ofgeopandas
from Pycon 2019 tutorial -
data visualization with
matplotlib
andseaborn
.
2.1. Multiple graphs in a frame [Link]
2.2. Data distribution (bar plot) with text, for Categorical data [Link] and Numerical data [Link]
2.3. Scatter plot on a Map [Link]
2.4. Colors and Colormaps [Link]
2.5. Violin plot with Raw data [Link], subplot control withgridspec
[Link] -
data analysis with
pandas
.
3.1. Nice representation ofpandas DataFrame
tomarkdown
[Link]
3.2. Find address (raw and column) by value [Link]
3.3. Create Timestamp from split data [Link]
3.4. Find first data of each date [Link] -
techniques of
numpy
.
4.1. Numpy vectorization functions [Link]
4.2. numpy.vectorize() [Link] and as decoration[Link]