Sort a Pandas DataFrame using both Date and Time

Question

I'm Trying to sort my dataframe using "sort_value" Im not getting the desired output

df1 = pd.read_csv('raw data/120_FT DDMG.csv')
df2 = pd.read_csv('raw data/120_FT MG.csv')
df3 = pd.read_csv('raw data/120_FT DD.csv')

dconcat = pd.concat([df1,df2,df3])

dconcat['date'] = pd.to_datetime(dconcat['ActivityDates(Individual)']+' '+dconcat['ScheduledStartTime'])
dconcat.sort_values(by='date')
dconcat = dconcat.set_index('date')
print(dconcat)

Answer 1

sort_values returns a data frame which is sorted if inplace=False .
so dconcat=dconcat.sort_values(by='date')

or you can do dconcat.sort_values(by='date', inplace=True)

you can try this;

dconcat = pd.concat([df1,df2,df3])

dconcat['date'] = pd.to_datetime(dconcat['ActivityDates(Individual)']+' '+dconcat['ScheduledStartTime'])
dconcat.set_index('date', inplace=True)
dconcat.sort_index(inplace=True)
print(dconcat)