WORKING WITH DATAFRAMES
This is a simple repository where I am summarizing some of what I have found to be the most useful Pandas functionalities while working with Dataframes. The current content is listed below and because I am using it as support material for my work, I will be updating it as I keep on progressing. There will be some basic visualizations every now and then, however, I won't go to deep into them as I intend to write separate repositories for using Matplotlib, SeaBorn and Plotly.
CONTENT:
- Creating Dataframes
- Renaming Columns
- Reversing All Rows
- Reversing All Columns
- Merging Dataframes
- Appending Dataframes
- Highlighting Min and Max Column Values
- Adding a Column from a List
- Re-organizing Columns
- Sorting Dataframes by Column Values
- Column and Row Slicing
- Adding Row(s)
- Profiling Dataframes
- Dropping Column(s) & Row(s)
- Generating Descriptive Statistics
- Basic Visualization With Plotly
Last update: 09/10/2020