Pandas Practice Set-1: Iterate through diamonds DataFrame
Write a Pandas program to iterate through 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("\nIterate through diamonds DataFrame:")
for index, row in diamonds.iterrows():
print(index, row.carat, row.cut, row.color, row.price)
Sample Output:
53442 0.92 Very Good D 2674 53443 0.75 Good E 2674 53444 0.71 Premium E 2674 53445 0.72 Ideal F 2674 53446 0.72 Ideal F 2674 53447 0.72 Ideal E 2674 53448 0.73 Very Good F 2675 53449 0.52 Ideal E 2675 53450 0.7 Very Good G 2676 53451 0.7 Very Good G 2676 53452 0.91 Good I 2676 53453 0.56 Ideal F 2676 53454 0.7 Ideal F 2676 53455 0.7 Very Good D 2677 ...... 53921 0.7 Very Good E 2755 53922 0.7 Very Good D 2755 53923 0.73 Ideal I 2756 53924 0.73 Ideal I 2756 53925 0.79 Ideal I 2756 53926 0.71 Ideal E 2756 53927 0.79 Good F 2756 53928 0.79 Premium E 2756 53929 0.71 Ideal G 2756 53930 0.71 Premium E 2756 53931 0.71 Premium F 2756 53932 0.7 Very Good E 2757 53933 0.7 Very Good E 2757 53934 0.72 Premium D 2757 53935 0.72 Ideal D 2757 53936 0.72 Good D 2757 53937 0.7 Very Good D 2757 53938 0.86 Premium H 2757 53939 0.75 Ideal D 2757
Python Code Editor:
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Previous: Write a Pandas program to read only a subset of 3 rows from diamonds DataFrame.
Next: Write a Pandas program to drop all non-numeric columns from diamonds DataFrame.
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