pandas-validator
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) # FalseGetting Started
Installation
$ pip install pandas_validator
Usage
Please see the following demo written by ipython notebook.
Documentation
The latest documentation is hosted at ReadTheDocs.
http://pandas-validator.readthedocs.org
Requirements
- Traget Python version is 2.7, 3.4
- pandas
License
This software is licensed under the MIT License.