Pandas – AttributeError: 'Series' object has no attribute 'upper'

I have this error and I don’t know how to solve it.

Here is my code :

time_start = data_h_df['hour']
frequency = data_h_df['FREQUENCY']
timezone = data_h_df['TIMEZONE']
outputMode = OutputMode('EEA',time_start, frequency, pytz.timezone(timezone),CONST_MODE_CONT,IDCase1())

When I don’t use variables but I put the values directly in parameters like this, I don’t have an error :

outputMode = OutputMode('EEA','06:00:00','08:00:00',pytz.timezone('Europe/Paris'),CONST_MODE_CONT,IDCase1())

I don’t know if it can help, these columns have this form in the dataframe :

hour         FREQUENCY      TIMEZONE
06:00:00     08:00:00       Europe/Paris

>Solution :

Try

time_start = data_h_df['hour'][0]
frequency = data_h_df['FREQUENCY'][0]
timezone = data_h_df['TIMEZONE'][0]

Maybe it’s a type error from the Dataframe

Edit: You probably need all three lines, not only one.