https://github.com/zachbateman/easy_plot
Easy Statistical Visualization in Python
https://github.com/zachbateman/easy_plot
data-analysis data-visualization graphics matplotlib python seaborn
Last synced: 5 months ago
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Easy Statistical Visualization in Python
- Host: GitHub
- URL: https://github.com/zachbateman/easy_plot
- Owner: zachbateman
- License: mit
- Created: 2019-01-25T17:55:53.000Z (over 7 years ago)
- Default Branch: main
- Last Pushed: 2024-09-25T20:01:00.000Z (over 1 year ago)
- Last Synced: 2025-11-27T17:50:03.371Z (7 months ago)
- Topics: data-analysis, data-visualization, graphics, matplotlib, python, seaborn
- Language: Python
- Homepage:
- Size: 883 KB
- Stars: 0
- Watchers: 0
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
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README
# Easy_Plot
Easy_plot is a Python package built to provide easy and fast production-quality visualizations of statistical data.
Utilizes pandas dataframes as standard format for input data.
# Current Features
- easy_plot.distribution(df)
- Plot a "Distribution Plot": a swarmplot alongside a cumulative probability plot.
- Usage:
```sh
import pandas
import easy_plot
df = pandas.read_csv('test.csv')
easy_plot.distribution(df, bin_col='Weight', result_col='Value')
```
- easy_plot.scatter(df)
- Plot a scatter plot.
- Usage:
```sh
import pandas
import easy_plot
df = pandas.read_csv('test.csv')
easy_plot.scatter(df, xvar='Value', yvar='Value_2', sizevar='Weight')
```
- easy_plot.scatter_matrix(df)
- Plot a matrix of scatter plots.
- Usage:
```sh
import pandas
import easy_plot
df = pandas.read_csv('test.csv')
easy_plot.scatter_matrix(df)
```
- easy_plot.heatmap(df)
- Plot a heatmap.
- Usage:
```sh
import pandas
import easy_plot
df = pandas.read_csv('test.csv')
easy_plot.heatmap(df)
```
License
----
MIT