How to check if column with name is valid by regex in Pandas:
I have tried this way:
r = df['ADDRESS'].str.findall('^((?:0[1-9]|1[0-2]))[.\/\\\\-]*([0-9]{2})[.\/\\\\]([1|2][0-9]{3})$')
if not r:
df['ADDRESS'] = "Bird"
It does not work for meю
My goas is to move values from columns to specifci columns by content.
Exmaple is:
ID NAME EMAIL
1 @GMAIL.COM Inigma
@ Mary 4
As result I should arrange values by columns names:
ID NAME EMAIL
1 Inigma @GMAIL.COM
2 Mary @