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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.

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Python: Tips of the Day

Find current directory and file's directory:

To get the full path to the directory a Python file is contained in, write this in that file:

import os 
dir_path = os.path.dirname(os.path.realpath(__file__))

(Note that the incantation above won't work if you've already used os.chdir() to change your current working directory, since the value of the __file__ constant is relative to the current working directory and is not changed by an os.chdir() call.)

To get the current working directory use

import os
cwd = os.getcwd()

Documentation references for the modules, constants and functions used above:

  • The os and os.path modules.
  • The __file__ constant
  • os.path.realpath(path) (returns "the canonical path of the specified filename, eliminating any symbolic links encountered in the path")
  • os.path.dirname(path) (returns "the directory name of pathname path")
  • os.getcwd() (returns "a string representing the current working directory")
  • os.chdir(path) ("change the current working directory to path")

Ref: https://bit.ly/3fy0R6m