dashi documentation

dashi is a flexible and powerful Python toolkit for dataset shift analysis and characterization, providing supervised and unsupervised evaluation of temporal and multi-source data shifts, visualization tools, and statistical insights for data integrity and model performance monitoring.

Note

Install dashi with: pip install dashi

Getting Started

import pandas as pd
import dashi as ds

df = pd.read_csv('my_data.csv')

# Format your data
df = ds.format_data(
    df,
    date_column_name='date',
    date_format='%Y/%m/%d',
    numerical_column_names=['age', 'weight'],
    categorical_column_names=['gender', 'diagnosis']
)

# Estimate a univariate Data Temporal Map
dtm = ds.estimate_univariate_data_temporal_map(
    data=df,
    date_column_name='date',
    period='month'
)

# Plot the results
plot = ds.plot_univariate_data_temporal_map(dtm, variable_name='weight')

User Guide

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