removing newlines from messy strings in pandas dataframe cells?

df.replace(to_replace=[r"\\t|\\n|\\r", "\t|\n|\r"], value=["",""], regex=True, inplace=True)

worked for me.

Source:

https://gist.github.com/smram/d6ded3c9028272360eb65bcab564a18a

To remove carriage return (\r), new line (\n) and tab (\t)

df = df.replace(r'\r+|\n+|\t+','', regex=True)

EDIT: the correct answer to this is:

df = df.replace(r'\n',' ', regex=True) 

I think you need replace:

df = df.replace('\n','', regex=True)

Or:

df = df.replace('\n',' ', regex=True)

Or:

df = df.replace(r'\\n',' ', regex=True)

Sample:

text = '''hands-on\ndev nologies\nrelevant scripting\nlang
'''
df = pd.DataFrame({'A':[text]})
print (df)
                                                   A
0  hands-on\ndev nologies\nrelevant scripting\nla...

df = df.replace('\n',' ', regex=True)
print (df)
                                                A
0  hands-on dev nologies relevant scripting lang 

in messy data it might to be a good idea to remove all whitespaces df.replace(r'\s', '', regex = True, inplace = True).