I have a Python3.x pandas DataFrame whereby certain columns are strings which as expressed as bytes (like in Python2.x)
import pandas as pd
df = pd.DataFrame
You can use vectorised str.decode to decode byte strings into ordinary strings:
df['COLUMN1'].str.decode("utf-8")
To do this for multiple columns you can select just the str columns:
str_df = df.select_dtypes([np.object])
convert all of them:
str_df = str_df.stack().str.decode('utf-8').unstack()
You can then swap out converted cols with the original df cols:
for col in str_df:
df[col] = str_df[col]