pandas remove char from column
df['result'] = df['result'].str.replace(r'D', '')
df
time result
1 09:00 52
2 10:00 62
3 11:00 44
4 12:00 30
5 13:00 110pandas remove char from column
df['result'] = df['result'].str.replace(r'D', '')
df
time result
1 09:00 52
2 10:00 62
3 11:00 44
4 12:00 30
5 13:00 110remove special characters from string python
import re
# only remove special charactors but not white spaces
re.sub('[^A-Za-z0-9]+ ', '', mystring)
# remove special charactors and white spaces as well
re.sub('[^A-Za-z0-9]+', '', mystring)python remove special characters from list
import re
my_list= ["on@3", "two#", "thre%e"]
print [re.sub('[^a-zA-Z0-9]+', '', _) for _ in my_list]remove special characters from string in python
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