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Makes troublesome data preprocessing comfortable

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python version PyPI GitHub repo size GitHub GitHub followers GitHub watchers

PyTDP : Python Troublesome Data Processing

It provides a useful library around cleansing the pre-processed part of the data.

OutLine

To all the data analysts out there.
If you are analyzing data pre-processing and analysis in separate working files, doesn't it become difficult to load the data each time?

You have to declare variables, read excel and csv data using pandas, and write the same process in a new working file every time.

Do you have to write the same process every time in a new working file, declaring variables, loading excel or csv data using pandas, etc. In addition, do you have to name variables randomly so that you don't understand anything when you restart the analysis?

PyTDP is the perfect solution for you.

It reads in several data sets at once and automatically creates variable names according to the file names. What's more, the data frame is saved as a dictionary type, so you don't have to go back to the top to find it!

Installation

pip install PyTDP

Use library

import pytdp

1. Make TroublesomeData class

td = TroublesomeData(data_list)

Click here for a simple study file to get used to it.燥

Open In Colab

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