Pandas Practice Set-1: Create a DataFrame of booleans from diamonds DataFrame

Last update on May 28 2022 13:39:00 (UTC/GMT +8 hours)

Pandas Practice Set-1: Exercise-39 with Solution

Write a Pandas program to create a DataFrame of booleans (True if missing, False if not missing) from diamonds DataFrame.

Sample Solution:

Python Code:

import pandas as pd
diamonds = pd.read_csv('https://raw.githubusercontent.com/mwaskom/seaborn-data/master/diamonds.csv')
print("Original Dataframe:")
print(diamonds.head())
print("\nDataFrame of booleans:")
print(diamonds.isnull().head(20))

Sample Output:

Original Dataframe:
   carat      cut color clarity  depth  table  price     x     y     z
0   0.23    Ideal     E     SI2   61.5   55.0    326  3.95  3.98  2.43
1   0.21  Premium     E     SI1   59.8   61.0    326  3.89  3.84  2.31
2   0.23     Good     E     VS1   56.9   65.0    327  4.05  4.07  2.31
3   0.29  Premium     I     VS2   62.4   58.0    334  4.20  4.23  2.63
4   0.31     Good     J     SI2   63.3   58.0    335  4.34  4.35  2.75

DataFrame of booleans:
    carat    cut  color  clarity  ...    price      x      y      z
0   False  False  False    False  ...    False  False  False  False
1   False  False  False    False  ...    False  False  False  False
2   False  False  False    False  ...    False  False  False  False
3   False  False  False    False  ...    False  False  False  False
4   False  False  False    False  ...    False  False  False  False
5   False  False  False    False  ...    False  False  False  False
6   False  False  False    False  ...    False  False  False  False
7   False  False  False    False  ...    False  False  False  False
8   False  False  False    False  ...    False  False  False  False
9   False  False  False    False  ...    False  False  False  False
10  False  False  False    False  ...    False  False  False  False
11  False  False  False    False  ...    False  False  False  False
12  False  False  False    False  ...    False  False  False  False
13  False  False  False    False  ...    False  False  False  False
14  False  False  False    False  ...    False  False  False  False
15  False  False  False    False  ...    False  False  False  False
16  False  False  False    False  ...    False  False  False  False
17  False  False  False    False  ...    False  False  False  False
18  False  False  False    False  ...    False  False  False  False
19  False  False  False    False  ...    False  False  False  False

[20 rows x 10 columns]

Python Code Editor:

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Previous: Write a Pandas program to create a bar plot of the 'value_counts' for the 'cut' series of diamonds DataFrame.
Next: Write a Pandas program to count the number of missing values in each Series of diamonds DataFrame.

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