w3resource

Pandas Datetime: Get all the sighting years of the unidentified flying object (ufo) and create the year as column

Pandas Datetime: Exercise-6 with Solution

Write a Pandas program to get all the sighting years of the unidentified flying object (ufo) and create the year as column.

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("\nSighting years of the unidentified flying object:")
df["Year"] = df.Date_time.dt.year
print(df.head(10))

Sample Output:

Original Dataframe:
            Date_time                  city     ...       latitude   longitude
0 1910-06-01 15:00:00           wills point     ...      32.709167  -96.008056
1 1920-06-11 21:00:00                cicero     ...      40.123889  -86.013333
2 1929-07-05 14:00:00  buchanan  (or burns)     ...      43.642500 -118.627500
3 1931-06-01 13:00:00               abilene     ...      38.917222  -97.213611
4 1939-06-01 20:00:00              waterloo     ...      34.918056  -88.064167

[5 rows x 11 columns]

Sighting years of the unidentified flying object:
            Date_time                     city  ...    longitude  Year
0 1910-06-01 15:00:00              wills point  ...   -96.008056  1910
1 1920-06-11 21:00:00                   cicero  ...   -86.013333  1920
2 1929-07-05 14:00:00     buchanan  (or burns)  ...  -118.627500  1929
3 1931-06-01 13:00:00                  abilene  ...   -97.213611  1931
4 1939-06-01 20:00:00                 waterloo  ...   -88.064167  1939
5 1939-07-07 02:00:00                   keokuk  ...   -91.384722  1939
6 1941-06-01 13:00:00  ludington (hamlin lake)  ...   -86.452500  1941
7 1942-06-01 22:30:00                hapeville  ...   -84.410278  1942
8 1944-01-01 12:00:00                san diego  ...  -117.156389  1944
9 1944-06-01 12:00:00               los alamos  ...  -106.306389  1944

[10 rows x 12 columns]

Python Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: Write a Pandas program to get all the sighting days of the unidentified flying object (ufo) between 1950-10-10 and 1960-10-10.
Next: Write a Pandas program to create a plot to present the number of unidentified flying object (UFO) reports per year.

What is the difficulty level of this exercise?



Follow us on Facebook and Twitter for latest update.

Python: Tips of the Day

F strings:

It is a common practice to add variables inside strings. F strings are by far the coolest way of doing it. To appreciate the f strings more, let's first perform the operation with the format function.

name = 'Owen'
age = 25
print("{} is {} years old".format(name, age))

Output:

Owen is 25 years old

We specify the variables that go inside the curly braces by using the format function at the end. F strings allow for specifying the variables inside the string.

name = 'Owen'
age = 25
print(f"{name} is {age} years old")

Output:

Owen is 25 years old

F strings are easier to follow and type. Moreover, they make the code more readable.

A, B, C = {2, 4, 6}
print(A, B, C)
A, B, C = ['p', 'q', 'r']
print(A, B, C)

Output:

2 4 6
p q r