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How to load a TSV file into a Pandas DataFrame?

  • Last Updated : 18 Oct, 2021

In this article, we will discuss how to load a TSV file into a Pandas Dataframe.

The idea is extremely simple we only have to first import all the required libraries and then load the data set by the use of read_csv() method. To this method simply the path of the dataframe is passed. This is enough to get the job done.

Syntax :

pandas.read_csv(path, sep=’\t’)

Given below are some implementations for the same.

Example 1: Loading a TSV dataset into pandas dataframe

Dataset Used:  data.tsv

Python3




import pandas as pd
  
# Data.tsv is stored locally in the 
# same directory as of this python file
df = pd.read_csv('data.tsv',sep = '\t'
df

Output:

Example 2: Loading a TSV dataset into pandas dataframe

Dataset used: babynames.tsv

Python3




import pandas as pd
  
df = pd.read_csv('babynames.tsv', sep = '\t')
df

Output:

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