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Get part of day (morning, afternoon, evening, night) in Python dataframe


Here is my dataframe , I need to create a new column based on the timehour which the row value be like (morning, afternoon, evening, night)

DataFrame

Here is my code

if ((prods['hour'] < 4) & (prods['hour'] > 8 )):
    prods['session'] = 'Early Morning'
elif ((prods['hour'] < 8) & (prods['hour'] > 12 )):
    prods['session'] = 'Morning'
elif ((prods['hour'] < 12) & (prods['hour'] > 16 )):
    prods['session'] = 'Noon'
elif ((prods['hour'] < 16) & (prods['hour'] > 20 )):
    prods['session'] = 'Eve'
elif ((prods['hour'] < 20) & (prods['hour'] > 24 )):
    prods['session'] = 'Night'
elif ((prods['hour'] < 24) & (prods['hour'] > 4 )):
    prods['session'] = 'Late Night'

Here is the error i got

ValueError Traceback (most recent call last) in ----> 1 if (prods['hour'] > 4 and prods['hour']< 8): 2 prods['session'] = 'Early Morning' 3 elif (prods['hour'] > 8 and prods['hour'] < 12): 4 prods['session'] = 'Morning' 5 elif (prods['hour'] > 12 and prods['hour'] < 16):

/anaconda3/lib/python3.7/site-packages/pandas/core/generic.py in nonzero(self) 1476 raise ValueError("The truth value of a {0} is ambiguous. " 1477 "Use a.empty, a.bool(), a.item(), a.any() or a.all()." -> 1478 .format(self.class.name)) 1479 1480 bool = nonzero

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

Kindly help


Solution

  • Use cut or custom function with and and also changed < to > and > to <= and also for each value add return:

    prods = pd.DataFrame({'hour':range(1, 25)})
    
    b = [0,4,8,12,16,20,24]
    l = ['Late Night', 'Early Morning','Morning','Noon','Eve','Night']
    prods['session'] = pd.cut(prods['hour'], bins=b, labels=l, include_lowest=True)
    

    def f(x):
        if (x > 4) and (x <= 8):
            return 'Early Morning'
        elif (x > 8) and (x <= 12 ):
            return 'Morning'
        elif (x > 12) and (x <= 16):
            return'Noon'
        elif (x > 16) and (x <= 20) :
            return 'Eve'
        elif (x > 20) and (x <= 24):
            return'Night'
        elif (x <= 4):
            return'Late Night'
    

    prods['session1'] = prods['hour'].apply(f)
    print (prods)
        hour        session       session1
    0      1     Late Night     Late Night
    1      2     Late Night     Late Night
    2      3     Late Night     Late Night
    3      4     Late Night     Late Night
    4      5  Early Morning  Early Morning
    5      6  Early Morning  Early Morning
    6      7  Early Morning  Early Morning
    7      8  Early Morning  Early Morning
    8      9        Morning        Morning
    9     10        Morning        Morning
    10    11        Morning        Morning
    11    12        Morning        Morning
    12    13           Noon           Noon
    13    14           Noon           Noon
    14    15           Noon           Noon
    15    16           Noon           Noon
    16    17            Eve            Eve
    17    18            Eve            Eve
    18    19            Eve            Eve
    19    20            Eve            Eve
    20    21          Night          Night
    21    22          Night          Night
    22    23          Night          Night
    23    24          Night          Night