Pandas Practice Set-1: Drop a row if any or all values in a row are missing of diamonds DataFrame on two specific columns
Pandas Practice Set-1: Exercise-42 with Solution
Write a Pandas program to set an existing column as the index of diamonds DataFrame.
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("\nAfter droping those rows where any value in a row is missing in carat and cut columns:") print(diamonds.dropna(subset=['carat', 'cut'], how='any').shape) print("\nAfter droping those rows where all values in a row are missing in carat and cut columns:") print(diamonds.dropna(subset=['carat', 'cut'], how='all').shape)
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 After droping those rows where any value in a row is missing in carat and cut columns: (53940, 10) After droping those rows where all values in a row are missing in carat and cut columns: (53940, 10)
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Previous: Write a Pandas program to check the number of rows and columns and drop those row if 'any' values are missing in a row of diamonds DataFrame.
Next: Write a Pandas program to set an existing column as the index of diamonds DataFrame.
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