# Library for removing outliers from pandas dataframe

```

PROJECT 2, UCS633 - Data Analysis and Visualization

Aniket Gupta COE3 Roll number: 101703069

```

Takes two inputs - filename of input csv, intended filename of output csv.

Output is the number of rows removed from the input dataset. It also shows new dataset in case of IQR.

## Installation

` pip install outlier_aniket `

## Use via command line

```

outliers_cli in.csv out.csv

outliers_cli in.csv out.csv 1.5

```

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.

## Use in .py script

```

from outlier_aniket import remove_outliers_iqr

remove_outliers('input.csv', 'output.csv')

```

```

from outlier_aniket import remove_outliers

remove_outliers('input.csv', 'output.csv',threshold)

```