Analysis in a blink

compare_with_target.py

@app.command()
def compare_with_target(input1: str, input2: str, target: str):

    # Read CSVs from arguments
    df1, df2 = pd.read_csv(input1), pd.read_csv(input2)

    # Generate a comparison report against the target variable
    report = sv.compare(df1, df2, target)

    # Render HTML report in your default browser
    report.show_html()

pandasgui.py

#! /usr/bin/python
# If you are using a virtualenv you should change the above line to it's python executable.

import pandas as pd
from pandasgui import show
import typer

app = typer.Typer()


@app.command()
def report(filepath:str):
    df = pd.read_csv(filepath)

    show(df)


if __name__ == "__main__":
    app()

sweet2.py

# -------------------- MORE FEATURES HERE, LATER -----------------
@app.command()
def compare(input1: str, input2: str):
    # Read CSV files from the arguments
    df1, df2 = pd.read_csv(input1), pd.read_csv(input2)

    # Generate a comparison report
    report = sv.compare(df1, df2)

    # Render the HTML in your default browser
    report.show_html()

sweetviz.py

import pandas as pd
import sweetviz as sv

import typer
app = typer.Typer()


@app.command()
def report(input_path: str):
    # Read CSV file from the argument
    df = pd.read_csv(input_path)

    # Generate a reporte.
    report = sv.analyze(df)

    # Render HTML report in your default browser.
    report.show_html()

# -------------------- MORE FEATURES HERE, LATER -----------------


if __name__ == "__main__":
    app()

target.py

@app.command()
def target(input_path: str, target: str):
   
    # Read CSV file from the argument
    df = pd.read_csv(input_path)

    # Generate a reporte.
    report = sv.analyze(df, target)

    # Render HTML report in your default browser.
    report.show_html()