Pandas Practice Set-1: Count how many times each value in cut series of diamonds DataFrame occurs
31. Count Occurrences in 'cut' Series
Write a Pandas program to count how many times each value in cut series of diamonds DataFrame occurs.
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("\nNumber of times each value in cut series of diamonds DataFrame occurs:")
print(diamonds.cut.value_counts())
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 Number of times each value in cut series of diamonds DataFrame occurs: Ideal 21551 Premium 13791 Very Good 12082 Good 4906 Fair 1610 Name: cut, dtype: int64
For more Practice: Solve these Related Problems:
- Write a Pandas program to count the frequency of each value in the 'cut' column and display the results as a Series.
- Write a Pandas program to compute value counts for the 'cut' series and sort them in descending order.
- Write a Pandas program to calculate the occurrence of each cut quality and plot the frequencies as a horizontal bar chart.
- Write a Pandas program to use value_counts() on the 'cut' column and then convert the result to a DataFrame for further analysis.
Python Code Editor:
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Previous: Write a Pandas program to create a side-by-side bar plot of the diamonds DataFrame.
Next: Write a Pandas program to display percentages of each value of cut series occurs in diamonds DataFrame.
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