Pandas Datetime: Extract year, month, day, hour, minute, second and weekday from unidentified flying object (UFO) reporting date

Pandas Datetime: Exercise-8 with Solution

Write a Pandas program to extract year, month, day, hour, minute, second and weekday from unidentified flying object (UFO) reporting date.

Sample Solution :

Python Code :

import pandas as pd
df = pd.read_csv(r'ufo.csv')
df['Date_time'] = df['Date_time'].astype('datetime64[ns]')
print("Original Dataframe:")
print(df.head())
print("\nYear:")
print(df.Date_time.dt.year.head())
print("\nMonth:")
print(df.Date_time.dt.month.head())
print("\nDay:")
print(df.Date_time.dt.day.head())
print("\nHour:")
print(df.Date_time.dt.hour.head())
print("\nMinute:")
print(df.Date_time.dt.minute.head())
print("\nSecond:")
print(df.Date_time.dt.second.head())
print("\nWeekday:")
print(df.Date_time.dt.weekday_name.head())

Sample Output:

Original Dataframe:
            Date_time                  city     ...       latitude   longitude
0 1949-10-10 20:30:00            san marcos     ...      29.883056  -97.941111
1 1949-10-10 21:00:00          lackland afb     ...      29.384210  -98.581082
2 1955-10-10 17:00:00  chester (uk/england)     ...      53.200000   -2.916667
3 1956-10-10 21:00:00                  edna     ...      28.978333  -96.645833
4 1960-10-10 20:00:00               kaneohe     ...      21.418056 -157.803611

[5 rows x 11 columns]

Year:
0    1949
1    1949
2    1955
3    1956
4    1960
Name: Date_time, dtype: int64

Month:
0    10
1    10
2    10
3    10
4    10
Name: Date_time, dtype: int64

Day:
0    10
1    10
2    10
3    10
4    10
Name: Date_time, dtype: int64

Hour:
0    20
1    21
2    17
3    21
4    20
Name: Date_time, dtype: int64

Minute:
0    30
1     0
2     0
3     0
4     0
Name: Date_time, dtype: int64

Second:
0    0
1    0
2    0
3    0
4    0
Name: Date_time, dtype: int64

Weekday:
0       Monday
1       Monday
2       Monday
3    Wednesday
4       Monday
Name: Date_time, dtype: object

Python Code Editor:

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