Code-Snippet for myself

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.

0. Work-snippet, a subset of Code-snippet
   0.0. Readme [Link]
   0.1. base : Korean Font + Figure Style + df2md() [Download]

1. bash shell script
   1.1. basic syntax of bash shell [Link]
   1.2. copy and run multiple shells using nohup [Link]

2. geocoding with folium, geopandas and geojson
   2.1. interactive geocoding with folium [Link]
   2.2. displaying data on map with administrative borders[Link]

   • html2png [Link]
   • read JSON from web [Link]
   • data validation (duplicated & missing ones) [Link]
   • map + admin. districts + data visualization with legend as independent png file [Link]

   2.3. tips of geopandas from Pycon 2019 tutorial [Lecture Link][1][2-1][2-2]

   • Korean font problem : try another encoding [Link]
   • Reading geometry data as text [Link]
   • About geocoding coordination system, epsg and proj [Link]
   • Geometry file type selection by driver [Link]
   • dissolve, agglomerating districts [Link]
   • pd.merge, map + data [Link]

3. data visualization with matplotlib and seaborn.
   3.1. Multiple graphs in a frame [Link]
   3.2. Data distribution (bar plot) with text, for Categorical data [Link] and Numerical data [Link]
   3.3. Scatter plot on a Map [Link]
   3.4. Colors and Colormaps [Link]
   3.5. Add color function [Link]
   3.6. Violin plot with Raw data [Link], subplot control with gridspec [Link]
   3.7. 3D Rotation animation, using ax.view_init and ffmpeg [Link]
   3.8. Stacked Bar plot with relative values [Link]

4. data analysis with pandas.
   4.1. Nice representation of pandas DataFrame to markdown [Link]
   4.2. Find address (raw and column) by value [Link]
   4.3. Create Timestamp from split data [Link]
   4.4. Find first data of each date [Link]
   4.5. Retrieving the name of a variable [Link]
   4.6. Creating unicode dictionary [Link]

5. techniques of numpy.
   5.1. Numpy vectorization functions [Link]
   5.2. numpy.vectorize() [Link] and as decoration[Link]

6. image processing with pillow, scikit-image, hyperspy and pyimagej.
   6.1. Read metadata from .dm3(TEM) and .tif(SEM), then export to .jpg. [Link]

7. docker
   7.1. Installation of docker on windows 10 home [Link]
   7.2. Basic commands [Link]
   7.3. Build and Run commands [Link]
   7.4. Inspect commands [Link]
   7.5. User account settings [Link]
   7.6. Commit and Push [Link]