How to remove illegal characters so a dataframe can write to Excel - pandas

Question

I am trying to write a dataframe to an Excel spreadsheet using ExcelWriter, but it keeps returning an error:
openpyxl.utils.exceptions.IllegalCharacterError
I'm guessing there's some character in the dataframe that ExcelWriter doesn't like. It seems odd, because the dataframe is formed from three Excel spreadsheets, so I can't see how there could be a character that Excel doesn't like!
Is there any way to iterate through a dataframe and replace characters that ExcelWriter doesn't like? I don't even mind if it simply deletes them.
What's the best way or removing or replacing illegal characters from a dataframe?

Answer 1

Based on Haipeng Su's answer, I added a function that does this:
dataframe = dataframe.applymap(lambda x: x.encode('unicode_escape').
decode('utf-8') if isinstance(x, str) else x)
Basically, it escapes the unicode characters if they exist. It worked and I can now write to Excel spreadsheets again!

Answer 2

The same problem happened to me. I solved it as follows:
install python package xlsxwriter:
pip install xlsxwriter
replace the default engine 'openpyxl' with 'xlsxwriter':
dataframe.to_excel("file.xlsx", engine='xlsxwriter')

Answer 3

try a different excel writer engine solved my problem.
writer = pd.ExcelWriter('file.xlsx', engine='xlsxwriter')

Answer 4

If you don't want to install another Excel writer engine (e.g. xlsxwriter), you may try to remove these illegal characters by looking for the pattern which causes the IllegalCharacterError error to be raised.
Open cell.py which is found at /path/to/your/python/site-packages/openpyxl/cell/, look for check_string function, you'll see it is using a defined regular expression pattern ILLEGAL_CHARACTERS_RE to find those illegal characters. Trying to locate its definition you'll see this line:
ILLEGAL_CHARACTERS_RE = re.compile(r'[\000-\010]|[\013-\014]|[\016-\037]')
This line is what you need to remove those characters. Copy this line to your program and execute the below code before your dataframe is written to Excel:
dataframe = dataframe.applymap(lambda x: ILLEGAL_CHARACTERS_RE.sub(r'', x) if isinstance(x, str) else x)
The above line will remove those characters in every cell.
But the origin of these characters may be a problem. As you say, the dataframe comes from three Excel spreadsheets. If the source Excel spreadsheets contains those characters, you will still face this problem. So if you can control the generation process of source spreadsheets, try to remove these characters there to begin with.

Answer 5

I was also struggling with some weird characters in a data frame when writing the data frame to html or csv. For example, for characters with accent, I can't write to html file, so I need to convert the characters into characters without the accent.
My method may not be the best, but it helps me to convert unicode string into ascii compatible.
# install unidecode first
from unidecode import unidecode
def FormatString(s):
if isinstance(s, unicode):
try:
s.encode('ascii')
return s
except:
return unidecode(s)
else:
return s
df2 = df1.applymap(FormatString)
In your situation, if you just want to get rid of the illegal characters by changing return unidecode(s) to return 'StringYouWantToReplace'.
Hope this can give me some ideas to deal with your problems.

Answer 6

You can use built-in strip() method for python strings.
for each cell:
text = str(illegal_text).strip()
for entire data frame:
dataframe = dataframe.applymap(lambda t: str(t).strip())

Answer 7

If you're still struggling to clean up the characters, this worked well for me:
import xlwings as xw
import pandas as pd
df = pd.read_pickle('C:\\Users\\User1\\picked_DataFrame_notWriting.df')
topath = 'C:\\Users\\User1\\tryAgain.xlsx'
wb = xw.Book(topath)
ws = wb.sheets['Data']
ws.range('A1').options(index=False).value = df
wb.save()
wb.close()