missing-values-101703283 0.1.3

python package for removing NaN values from multi-variate numerical data

missing_values_101703283

For : Project-3 (UCS633)
Submitted by : Katinder Kaur
Roll no : 101703283
Group : 3COE13

missing_values_101703283 is a Python library for dealing with missing values(NaN) in a numeric dataset. This simple package uses column mean to replcae the NaN values.

Installation

Use the package manager pip to install missing_values_101703283.

pip install missing_values_101703283

Usage

For command prompt:

usage: missing_val [-h] InputDataFile

positional arguments:
  InputDataFile  Enter the name of input CSV file with .csv extension

optional arguments:
  -h, --help     show this help message and exit

Enter the input csv filename followed by .csv extentsion

missing_values sample_inputfile.csv

after the records with NaN values are removed, the resultant data will be implicitly stored in the same file as input.

View help

To view usage help, use

missing_values -h

For Python IDLE:

>>> from missing_values.missing_values import missing_values_fn
>>> missing_values_fn('inputfile.csv')
Missing values successully replaced with column average.

License

MIT