Skip to main content

Handling NULL values in a dataset using backfill and forwardfill

Project description

#Handling NULL values in a dataset. ##Project3 UCS633 ##Submitted by Kushagra Thakral 101703301
To run in cmd line:
python3 missing.py input_file_name.csv
Count of null values present in each columns will be displayed.
Then count of null values present after the use of package will be displayed(null values will be zero).
Then the dataset will be displayed(first 5 rows).
An output fill will be created with the name input_file_name_not_null.csv
The package only works for csv files.
This package uses backfill method followed by forward fill method to handle all the null values

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

101703301-project3-0.0.1.tar.gz (1.6 kB view hashes)

Uploaded source

Built Distribution

101703301_project3-0.0.1-py3-none-any.whl (3.0 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page