plotlyplus 0.1.1

Enhance pandas DataFrame with direct Plotly Express plotting functions

plotlyplus

Introduction

plotlyplus is a Python module that simplify the calling of plotly.express function. In standard way, one needs to do the following to create a plot using plotly.express based on a dataframe, df, you need to do the following

import pandas as pd
import plotly.express as px

px.scatter(df, x='namex',y='namey')

The plotlyplus package add the plotly.express plotting methods to the pandas dataframe class. This will simply the call to the plotting function as:

from plotlyplus.plotlyplus import *

df.scatter(x='namex',y='namey')

This is a small and almost trivial tweak, but brings a lot of convenience in daily practical work. Enjoy!

Key Features

• Better integration of plotly.express functions to pandas dataframe: Directly integrates Plotly Express plotting functions with pandas DataFrames.
• Safe mode: To avoid naming conflicts, plotlyplus introduces a 'safe mode' (plotlyplus_safe). In this mode, each plotly.express function is prefixed with `px_``, ensuring namespace integrity at the cost of slightly reduced convenience.

Installation

Install PlotlyPlus using pip with the following command:

pip install plotlyplus

Usage

Standard Mode

All plotly.express fundtions become methods of pandas dataframe.

from plotlyplus.plotlyplus import *

df = pd.DataFrame(...)
fig = df.bar(...)  # Plotly Express function as a DataFrame method
fig.show()

Safe Mode

This mode prefixes the Plotly Express functions with px_ to minimize namespace conflicts.

from plotlyplus.plotlyplus_safe import *

df = pd.DataFrame(...)
fig = df.px_bar(...)  # Plotly Express function as a DataFrame method
fig.show()

Contributing

Contributions to PlotlyPlus are welcome. Please feel free to submit pull requests, report bugs, or suggest features.

License

PlotlyPlus is made available under the MIT License.