In this tutorial, we'll see how to solve a common Pandas and Python error – "Error: need to escape, but no escapechar set". We get this error from Pandas when we try to save DataFrame as a CSV file.
Let's see several examples of how to reproduce and solve this error.
Pandas - Error: need to escape, but no escapechar set
When we try to use to_csv
we may get error in Pandas:
Error: need to escape, but no escapechar set
The example below demonstrate the error:
The error is caused by using csv.QUOTE_NONE
. Let's check two different solutions to this error.
Pandas to_csv escapechar
First way to solve the error is by using escapechar='\\'
:
This will produce CSV file as:
,A,B
0,1.0627,0.3
1,0625,
2,"LTE\,eHRPD","ZTE\\A"
Solution - QUOTE_ALL and QUOTE_MINIMAL
Alternatively we can solve the error by setting parameters:
quoting=csv.QUOTE_MINIMAL
- to only quote fields that contain special characters.quoting=csv.QUOTE_ALL
- all fields will be quoted
QUOTE_MINIMAL
We can see the output of:
the will be quoting the values in row 2:
,A,B
0,1.0627,0.3
1,0625,
2,"""LTE,eHRPD""","""ZTE\A"""
QUOTE_ALL
We can see the output of - QUOTE_ALL
:
then all values will be quoted:
"","A","B"
"0","1.0627","0.3"
"1","0625",""
"2","""LTE,eHRPD""","""ZTE\A"""
Python - Error: need to escape, but no escapechar set
The code below shows how to reproduce Python error - "Error: need to escape, but no escapechar set"
QUOTE_MINIMAL
result:
Error: need to escape, but no escapechar set
So the error is solved by:
Filter quoted values
As alternative solution we can filter the values by list comprehension:
Summary
To summarize, in this article, we've seen how to solve Python and Pandas error:
Error: need to escape, but no escapechar set
And finally you can find useful resources which will help you to solve Pandas to_csv
output quoting issues.