pandas_validator 0.5.0

Why bugs occur in Data Wrangling with pandas

When we wrangle our data with pandas, We use DataFrame frequently. DataFrame is very powerfull and easy to handle. But DataFrame has no it’s schema, so It allows irregular values without being aware of it. We are confused by these values and affect the results of data wrangling.

pandas-schema offers the functions for validating DataFrame or Series objects and generating factory data.

Overview

import pandas as pd
import pandas_validator as pv

class SampleDataFrameValidator(pv.DataFrameValidator):
    row_num = 5
    column_num = 2
    label1 = pv.IntegerColumnValidator('label1', min_value=0, max_value=10)
    label2 = pv.FloatColumnValidator('label2', min_value=0, max_value=10)

validator = SampleDataFrameValidator()

df = pd.DataFrame({'label1': [0, 1, 2, 3, 4], 'label2': [5.0, 6.0, 7.0, 8.0, 9.0]})
validator.is_valid(df)  # True.

df = pd.DataFrame({'label1': [11, 12, 13, 14, 15], 'label2': [5.0, 6.0, 7.0, 8.0, 9.0]})
validator.is_valid(df)  # False.

df = pd.DataFrame({'label1': [0, 1, 2], 'label2': [5.0, 6.0, 7.0]})
validator.is_valid(df)  # False

Requirements

• Support python version: 2.7, 3.4, 3.5, 3.6

• Support pandas version: 0.18, 0.19

Installation

$ pip install pandas_validator

Usage

Please see the following demo written by ipython notebook.

• Demo in Japanese

• Demo in English

0.5.0 (2017-01-06)

• Add LambdaColumnValidator

• Add IndexValidator

• .validate(df) method is deprecated. Please use .is_valid(df, raise_exception=True)

0.4.0 (2015-10-28)

• Hot fix: cannot include source file

0.3.2 (2015-10-28)

• Python 2.7, 3.2, 3.3, 3.4, 3.5 support

• pandas 0.14, 0.15, 0.16, 0.17 support

0.3.1 (2015-10-28)

• Update support python version

• Update dependencies library version

0.3.0 (2015-07-15)

• Critical bug fix

0.2.0 (2015-05-24)

• Support char type validation

• flake8 testing

0.1.0 (2015-05-22)

Initial release.

• Support integer series validator

• Support float series validator

• Support dataframe validator

• Testing on python2.7 and python 3.4

0.0.0 (2015-05-17)

Create this project.