Attributeerror: 'dataframe' object has no attribute 'saveastextfile'

Pandas is a popular python package that converts any datasets to dataframe and does major manipulation using the inbuilt function. But sometimes you use a function that is not present in the pandas package and it leads to attributeerror . In this tutorial, you will learn
how to solve the attributeerror: ‘dataframe’ object has no attribute ‘saveastextfile‘ error.

Why attributeerror: ‘dataframe’ object has no attribute ‘saveastextfile’ error occurs?

The root cause of getting this attributeError is that you must be using the function that is not present in the pandas package. If you will try to use the function saveastextfile() to export the dataframe as a text file then it cannot be possible. The function savetextfile() is not the inbuilt function of the pandas module.

You will get the error when you will run the below lines of code.

import pandas as pd
data = {"name":["Rob","Bam","Rob","Rahul"],"age":[23,25,23,32],
"country":["USA","UK","USA","Germany"]}
df = pd.DataFrame(data)
df.saveastextfile("data.txt")

Output

Solve dataframe’ object has no attribute ‘saveastextfile’ error

You can easily solve this attributeerror. Please note that saveastextfile() function is not supported by pandas module. It is inuilt function of pyspark. If you want to export pandas dataframe data as text file then you have to use the to_csv() function. Just pass the name of the text file inside the function. The data will be exported as sample_textfile.txt.

Execute the below lines of code to export the dataframe as text with the name “data.txt”

import pandas as pd
data = {"name":["Rob","Bam","Rob","Rahul"],"age":[23,25,23,32],
"country":["USA","UK","USA","Germany"]}
df = pd.DataFrame(data)
df.to_csv("data.txt",index=False)

Output

Conclusion

If you are getting the attribututeError on some function then it’s obvious that the function doesn’t exist in that module. This case was the same. Pandas module doesn’t support the saveastextfile() function. If you want to export dataframe as text then use the to_csv() function, The above method will solve the error if you are getting it.

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