How to Read 10 Millions Rows or 1 GB CSV File in Python Jupyter Notebook #python

How to Read 10 Millions Rows or 1 GB CSV File in Python Jupyter Notebook #python

Today, I will show you how to read 10 Million Rows in Python Jupyter Notebook .

Usually, Pandas is traditional method to do data analysis for small size of data. Once Data size becomes Large, Pandas do not respond to read.

At that time, VAEX comes to picture.

Yes. vaex is very powerful library which is used to read very large file in Python Jupyter Notebook.

Method

Install vaex module in anaconda environment ( usually !pip install vaex or conda install vaex)

Step1 : Convert csv file to hdf5 format using below comment

Step2: Open df using below command

Step3 : hit df and hurrey. Its working

FAQ :

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