Skip to main content

A collection of helper for pandas n plots

Project description

pandas-plots

quickstart

pip install pandas-plots -U
import pandas_plots as pp
pp.pandas.describe_df()

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pandas-plots-0.0.2.tar.gz (13.0 kB view details)

Uploaded Source

Built Distribution

pandas_plots-0.0.2-py3-none-any.whl (13.1 kB view details)

Uploaded Python 3

File details

Details for the file pandas-plots-0.0.2.tar.gz.

File metadata

  • Download URL: pandas-plots-0.0.2.tar.gz
  • Upload date:
  • Size: 13.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for pandas-plots-0.0.2.tar.gz
Algorithm Hash digest
SHA256 e4d4032b4e4ffaa6d1111972602fc34af318bea67c567e25735105270637140b
MD5 021ec41583755ab3671aedcee0a1a8fe
BLAKE2b-256 c9814ab09b0e53b04220b24128427d65436cf03bc5433cf468a924736957fb7d

See more details on using hashes here.

File details

Details for the file pandas_plots-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: pandas_plots-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 13.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for pandas_plots-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 8ea052b18b12289a97946a041d7f67d79caeda63be1e333fcf3957670c7f0a0d
MD5 3685f1c2a09c80da8ec27c2a648eb93d
BLAKE2b-256 c5b55355923ae3b89be336b4f04a14605d709f6e55124af7ffb2406ee4632aa2

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page