Pandas Datetime: Check the empty values of UFO Dataframe
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:
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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
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