Pandas Datetime: Check the empty values of UFO Dataframe

Last update on August 19 2022 21:50:47 (UTC/GMT +8 hours)

Pandas Datetime: Exercise-19 with Solution

Write a Pandas program to check the empty values of UFO (unidentified flying object) Dataframe.

Sample Solution:

Python Code:

import pandas as pd
df = pd.read_csv(r'ufo.csv')
print(df.isnull().sum())

Sample Output:

Date_time                          0
city                               0
state/province                     0
country                            0
UFO_shape                          0
length_of_encounter_seconds        0
described_duration_of_encounter    0
description                        0
date_documented                    0
latitude                           0
longitude                          0
dtype: int64

Python Code Editor:

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

Previous: Write a Pandas program to create a graphical analysis of UFO (unidentified flying object) Sightings year.
Next: Write a Pandas program to create a plot of distribution of UFO (unidentified flying object) observation time.

What is the difficulty level of this exercise?

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