Easy Statistical Visualization
Project description
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:
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:
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:
import pandas import easy_plot df = pandas.read_csv('test.csv') easy_plot.scatter_matrix(df)
-
easy_plot.heatmap(df)
- Plot a heatmap.
- Usage:
import pandas import easy_plot df = pandas.read_csv('test.csv') easy_plot.heatmap(df)
License
MIT
Project details
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