A group of tools to do exploratory analysis.
Project description
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test
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Milanesas / EDA helper
This package will help you to do some EDA related tasks. It will help you to reduce the amount of code needed to do a simple chart. Originally intended to work with Jupyter Lab but contains some help for Django.
Features
- Functions to draw simple graphs.
- Functions for drawing orizontal and vertical comparative graphs.
- Functions for transforming percentage values.
- Functions for counting unique values.
Installation
Install my-project with pipy.
pip install milanesas
Usage/Examples
import pandas as pd
import milanesas.eda_helper as eh #Importing the library.
# Create a test dataframe.
df = pd.DataFrame({'Category': ['A', 'B', 'F', 'C'], 'count': [4, 2, 3, 1]})
# Make a horizontal barchart.
eh.make_custom_horizontal_bar(
df,
"col",
"Custom horizontal bar chart.",
"Count",
"Category",
False)
This simple code will show the following chart.
License
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