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A collection of helper for pandas n plots

Project description

pandas-plots

py3.10

quickstart

install / update package

pip install pandas-plots -U

include in python

from pandas_plots import tbl, viz

example

# load sample dataset from seaborn
import seaborn as sb
df = sb.load_dataset('taxis')

viz.plot_box(df['fare'], height=400, violin=True)

plot_box

why use pandas-plots

pandas-plots is a package to help you examine and visualize data that are organized in a pandas DataFrame. It provides a high level api to pandas / plotly with some selected functions.

It is subdivided into:

  • tbl utilities for table descriptions

    • describe_df() an alternative version of pandas describe() function
    • pivot_df() gets a pivot table of a 3 column dataframe
  • viz utilities for plotly visualizations

    • plot_box() auto annotated boxplot w/ violin option
    • plot_boxes() multiple boxplots (annotation is experimental)
    • plots_bars() a standardized bar plot
    • plot_stacked_bars() shortcut to stacked bars 😄
    • plot_quadrants() quickly show a 2x2 heatmap

dependencies

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