pandas_validator 0.4.0

Validate the pandas objects such as DataFrame and Series.

Validates the pandas object such as DataFrame and Series. And this can define validator like django form class.

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

Getting Started

Installation

$ pip install pandas_validator

Usage

Please see the following demo written by ipython notebook.

• Demo in Japanese

• Demo in English

Documentation

The latest documentation is hosted at ReadTheDocs.

http://pandas-validator.readthedocs.org

Requirements

• Support python version: 2.7, 3.2, 3.3, 3.4, 3.5

• Support pandas version: 0.14, 0.15, 0.16, 0.17

License

This software is licensed under the MIT License.

Resources

• Github

• PyPI

CHANGES

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.