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