edfEazyDataFix

Quick Start

Load a dataset, run an assessment, apply the automatic fixer and export the result.

A first dataset

The example below uses a small employees CSV. Any pandas DataFrame or Excel file will work too — see the reference.

quickstart.py
import pandas as pd
import eazydatafix as edf

df = pd.read_csv("employees.csv")

report = edf.assess(df)
report.summary()

result = edf.fix(df)
cleaned_df = result.dataframe
result.to_csv("clean.csv")

Expected output

Python 3.11
>>> report = edf.assess(df)
>>> report.summary()
QualityReport(<DataFrame>)
  rows              1,204
  columns              12
  quality_score     94.0
  missing_values      38  (0.3%)
  duplicates           6  (0.5%)
 
>>> result = edf.fix(df)
>>> result.applied_fixes
['strip_whitespace', 'coerce_numeric', 'drop_duplicates(6)', 'impute_missing(38, median)']

Next steps