python package for removing NaN values from multi-variate numerical data
Project description
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for missing_values_101703283-0.1.3.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7861cf54a88f08a937cb7bf50781d7aa40402c503cb0e63afa082f57e9e4f181 |
|
MD5 | b58aa991e57a9b83f9917de51ce469a6 |
|
BLAKE2b-256 | 96264fed2a98e1ce615a3c0da5dfc6157aa5dd82b58b181ecc911a66a8fd3148 |
Close
Hashes for missing_values_101703283-0.1.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 957b5dd556baf987ba873e8bdf39b42193c73ee48cf2971f8ae0c51936383726 |
|
MD5 | bc5a317f4b35c7f49a4bed8d97aa4f8a |
|
BLAKE2b-256 | 4716f637d46ed1deef9194606b58ed9126d90b4d8349ecb7f19c327e326b8c88 |