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Handle-Missing-Values

Create and save .csv file with replaced categorical and non-categorical missing values

Brief

Replaces missing non-categorical values with mean of respective columns and uses KNN for missing categorical values

Usage

Use below commands in python terminal:
    >>>from missing import missing
    >>>t = missing.missing(input_filename,output_filename,methods)
methods can be "replace" or "remove"
e.g . t = missing.missing("mydata.csv","out.csv","replace")

Release files for handle-missing-csv 0.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for handle-missing-csv 0.0.1
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handle-missing-csv-0.0.1.tar.gz 1.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for handle-missing-csv 0.0.1
File Interpreter ABI Platform
handle_missing_csv-0.0.1-py3-none-any.whl Python 3 none any Details

Total release size: 5.3 kB

Release files / handle-missing-csv-0.0.1.tar.gz

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Release files / handle_missing_csv-0.0.1-py3-none-any.whl

Download URL handle_missing_csv-0.0.1-py3-none-any.whl
Size 3.3 kB
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0.0.1 This release

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