Pandas Practice Set-1: Sort a Series by its values and index of diamonds DataFrame
Write a Pandas program to sort a Series by its values and index of 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("\nSeries sorted by its values:")
print(diamonds.cut.value_counts().sort_values())
print("\nSeries sorted by its index:")
print(diamonds.cut.value_counts().sort_index())
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 Series sorted by its values: Fair 1610 Good 4906 Very Good 12082 Premium 13791 Ideal 21551 Name: cut, dtype: int64 Series sorted by its index: Fair 1610 Good 4906 Ideal 21551 Premium 13791 Very Good 12082 Name: cut, dtype: int64
Python Code Editor:
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Next: Write a Pandas program to calculate the multiply of length, width and depth for each cut of diamonds DataFrame.
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