Exporting DTA File Using pandas.DataFrame.to_stata() function in Python

Last Updated : 14 Sep, 2021

This method is used to writes the DataFrame to a Stata dataset file. “dta” files contain a Stata dataset. DTA file is a database file and it is used by IWIS Chain Engineering.

Syntax : DataFrame.to_stata(path, convert_dates=None, write_index=True, time_stamp=None)

Parameters :

path : str, buffer or path object

convert_dates : dict

write_index : bool

time_stamp : datetime

Returns : DataFrame object to Stata dta format. Means return .dta file.

Example 1: Create DTA file

Here we will create dataframe and then saving into the DTA format using DataFrame.to_stata().

Python3

# importing package 
import numpy 
import pandas as pd 
  
# create and view data 
df = pd.DataFrame({ 
    'person': ["Rakesh", "Kishan", "Adesh", "Nitish"], 
    'weight': [50, 60, 70, 80] 
}) 
display(df) 
  
# use pandas.DataFrame.to_stata method 
# to extract .dta file 
df.to_stata('person.dta') 

Output :

Example 2:

Python3

# importing package 
import pandas as pd 
  
# create and view data 
df = pd.DataFrame({ 
    'mobiles': ["Apple", "MI", "Karban", "JIO"], 
    'prizes': [75000, 9999, 6999, 5999] 
}) 
display(df) 
  
# use pandas.DataFrame.to_stata method 
# to extract .dta file 
df.to_stata('mobiles.dta') 