Removing outliers from a pandas dataframe
PROJECT 2, UCS633 - Data Analysis and Visualization Nikhil Gupta COE17 Roll number: 101703371
Output is the number of rows removed from the input dataset. The remaining rows of the dataset are streamed to a new csv file whose name is required as an input.
The no of rows removed: 5
Note the outlier removal is performed using IQR method.
pip install outlierpack_NG
Note the name has an underscore not a hyphen. If installation gives error or package is not found after installing, install as sudo.
Recommended - test it out in a virtual environment.
To use via command line
outcli myData.csv newData.csv
First argument after outcli is the input csv filename from which the dataset is extracted. The second argument is for storing the final dataset after processing.
To use in .py script
from outlib.models import r_outliers r_outliers('myData.csv', 'newData.csv')
Can email me for any issues or suggestions
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