Pandas Practice Set-1: Count the number of missing values in each Series of diamonds DataFrame

Last update on December 21 2024 07:54:35 (UTC/GMT +8 hours)

Write a Pandas program to count the number of missing values in each Series 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("\nNumber of missing values in each Series of diamonds DataFrame:")
print(diamonds.isnull().sum())

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 missing values in each Series of diamonds DataFrame:
carat      0
cut        0
color      0
clarity    0
depth      0
table      0
price      0
x          0
y          0
z          0
dtype: int64

Python Code Editor:

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Previous: Write a Pandas program to create a DataFrame of booleans (True if missing, False if not missing) from diamonds DataFrame.
Next: 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.