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 using various methods in Python.
Dataset Used: data.tsv
Using read_csv() to load a TSV file into a Pandas DataFrame
Here we are using the read_csv() method to load a TSV file in to a Pandas dataframe.
Python3
import pandas as pd# Data.tsv is stored locally in the # same directory as of this python filedf = pd.read_csv('data.tsv',sep = '\t') display(df) |
Output:
Load a TSV file into a Pandas DataFrame
Using read_table() to load a TSV file into a Pandas DataFrame
Here we are using the read_table() method to load a TSV file into a Pandas dataframe.
Python3
import pandas as pd# Read TSV file into DataFramedf = pd.read_table('data.tsv')display(df) |
Load a TSV file into a Pandas DataFrame
