semvec/pypi-packages huggingface dataset:
nishant-outlier-76 1.0.2
Outlier Removal Using Z-score or IQR
Requires Python: >=3.6
Keywords: command-line,Outliers,outlier-removal,row-removal

# Library for removing outliers from pandas dataframe

```
PROJECT 2, UCS633 - Data Analysis and Visualization
Nishant Goel  
COE17
Roll number: 101703376
```
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

Output is the number of rows removed from the input dataset in case of z-score

## Installation
`pip install nishant_outlier_76`

*Recommended - test in a virtual environment.* 

## 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 nishant_outlier_76 import remove_outliers_iqr
remove_outliers('input.csv', 'output.csv')
```
```
from nishant_outlier_76 import remove_outliers
remove_outliers('input.csv', 'output.csv',threshold)
```
project2-101703386 0.0.1
Outlier removal package
Requires Python: >=3.6

# Outlier Removal in python 
```
Project-2 for DATA ANALYSIS AND VISUALISATION(UCS633) 
Parul Bansal COE18
Roll number: 101703386
```

`python3 outlier.py file_name.csv IQR or z_score`
plantower 0.0.11
An interface for plantower particulate matter sensors
Requires Python: >=3.3, <4

# Plantower Particulate Sensor Python interface
A basic python interface for interacting with the plantower PM sensors.  This code has been tested with the following devices:
 * Plantower PMS5003
 * Plantower PMS7003
 * Plantower PMSA003

 It may work with other sensors from the plantower range, if you try it please do let us know either way.  If there are any problems with it please either raise an issue or fix it and issue a pull request.

The following persons have contributed to this library:
 * Philip J. Basford
 * Florentin M. J. Bulot
 * Simon J. Cox
 * Steven J. J. Ossont
 * serunis