Datapane python reporting library for interactive reports and beautiful charts

Datapane is a Python reporting library. By using datapane with the combination of pandas dataframe, you can build very attractive reports and charts. Datapane was first released on Nov 12, 2019. Using Datapane you can build interactive reports for your end-users in less time.

Few other reporting libraries in python to generate reports in the different use cases.

1. Datapane basic information.
2. How to install Datapane?
3. Example: Datapane tabular report example.
4. Example: Datapane to generate an interactive and beautiful line chart.

1. Datapane basic information

About	Datapane is a Python library. It was first released on Nov 12, 2019. Using Datapane you can build interactive reports for your end-users in less time.
install	pip install datapane
import	import datapane as dp
Url	https://docs.datapane.com/
PyPI Releases	https://pypi.org/project/datapane/
Is Open Source	YES, not open-contribution
Source Code	https://github.com/datapane/datapane
Latest Version	Version 0.14.0

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2. How to install Datapane?

First, ensure pip is installed on the system, if pip is not installed then there are 2 ways to get it installed on the system

• ensurepip
• get-pip.py

Once pip is set up on the system than by using pip install the Datapane library.

pip3 install -U datapane

Installing Datapane by using Conda: Use below command to install the datapane using conda

conda install -c conda-forge “datapane>=0.14.0”

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3. Example : Datapane tabular report example.

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Feb 07:49:49 2022
website : http://mycloudplace.com
@author: Prem Shanker Verma
"""
import pandas as pd
import altair as alt
import datapane as dp
if __name__ == "__main__":
    Movies = [
        {'Movie':'Baahubali 2 The Conclusion', 'Budget':'250', 'Verdict':'All Time Blockbuster'},
        {'Movie':'KGF Chapter 2', 'Budget':'100', 'Verdict':'All Time Blockbuster'},
        {'Movie':'Dangal', 'Budget':'70', 'Verdict':'All Time Blockbuster'},
        {'Movie':'Sanju', 'Budget':'100', 'Verdict':'All Time Blockbuster'},
        {'Movie':'PK', 'Budget':'85', 'Verdict':'All Time Blockbuster'},
        {'Movie':'Tiger Zinda Hai', 'Budget':'210 ', 'Verdict':' Blockbuster'},
        {'Movie':'Bajrangi Bhaijaan', 'Budget':' 90 ', 'Verdict':'All Time Blockbuster'},
        {'Movie':'War', 'Budget':'150', 'Verdict':'Blockbuster'},
        {'Movie':'Padmaavat ', 'Budget':'215', 'Verdict':' Blockbuster'},
        {'Movie':'Sultan', 'Budget':'80', 'Verdict':' Blockbuster'},
        {'Movie':'Kabir Singh', 'Budget':'55', 'Verdict':' All Time Blockbuster'},
        {'Movie':'Tanhaji: The Unsung Warrior', 'Budget':'150', 'Verdict':' Blockbuster'},
        {'Movie':'Dhoom 3', 'Budget':' 175 ', 'Verdict':'All Time Blockbuster '},
        {'Movie':'The Kashmir Files', 'Budget':' 20', 'Verdict':'All Time Blockbuster'},
        {'Movie':'URI The Surgical Strike', 'Budget':'70 ', 'Verdict':'All Time Blockbuster'}
        ]
    
    df = pd.DataFrame(Movies)
    
    report = dp.Report(dp.Table(df))
    report.save(path="MoviesTabular.html")

 OUTPUT:

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4. Example: Datapane to generate an interactive and beautiful line chart.

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Feb 07:49:49 2022
website : http://mycloudplace.com
@author: Prem Shanker Verma
"""

import pandas as pd
import altair as alt
import datapane as dp

if __name__ == "__main__":
    Movies = [
        {'Movie':'Baahubali 2 The Conclusion', 'Budget':'250', 'Verdict':'All Time Blockbuster'},
        {'Movie':'KGF Chapter 2', 'Budget':'100', 'Verdict':'All Time Blockbuster'},
        {'Movie':'Dangal', 'Budget':'70', 'Verdict':'All Time Blockbuster'},
        {'Movie':'Sanju', 'Budget':'100', 'Verdict':'All Time Blockbuster'},
        {'Movie':'PK', 'Budget':'85', 'Verdict':'All Time Blockbuster'},
        {'Movie':'Tiger Zinda Hai', 'Budget':'210 ', 'Verdict':' Blockbuster'},
        {'Movie':'Bajrangi Bhaijaan', 'Budget':' 90 ', 'Verdict':'All Time Blockbuster'},
        {'Movie':'War', 'Budget':'150', 'Verdict':'Blockbuster'},
        {'Movie':'Padmaavat ', 'Budget':'215', 'Verdict':' Blockbuster'},
        {'Movie':'Sultan', 'Budget':'80', 'Verdict':' Blockbuster'},
        {'Movie':'Kabir Singh', 'Budget':'55', 'Verdict':' All Time Blockbuster'},
        {'Movie':'Tanhaji: The Unsung Warrior', 'Budget':'150', 'Verdict':' Blockbuster'},
        {'Movie':'Dhoom 3', 'Budget':' 175 ', 'Verdict':'All Time Blockbuster '},
        {'Movie':'The Kashmir Files', 'Budget':' 20', 'Verdict':'All Time Blockbuster'},
        {'Movie':'URI The Surgical Strike', 'Budget':'70 ', 'Verdict':'All Time Blockbuster'}
        ]
    
    df = pd.DataFrame(Movies)
    
    plot = (
    alt.Chart(df).mark_line(color='blue',opacity=0.9)
    .encode(
        x="Movie",
        y=alt.Y("Budget"),

    )
    .interactive()
    )
    
    report = dp.Report(
    dp.Plot(plot, caption="List of popular movies with verdicts")
    )

    report.save("MoviesChart.html")

OUTPUT:

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