Impute Median
Start Timer
0:00:00
You’re given a dataframe df_cheeses
containing a list of the price of various cheeses from California. The dataframe has missing values in the price column.
Write a function cheese_median
to impute the median price of the selected California cheeses in place of the missing values. You may assume at least one cheese is not missing its price.
Example:
Input:
import pandas as pd
cheeses = {"Name": [
"Bohemian Goat",
"Central Coast Bleu",
"Cowgirl Mozzarella",
"Cypress Grove Cheddar",
"Oakdale Colby"],
"Price" : [15.00, None, 30.00, None, 45.00]}
df_cheeses = pd.DataFrame(cheeses)
Output:
Name | Price |
---|---|
Bohemian Goat | 15.00 |
Central Coast Bleu | 30.00 |
Cowgirl Mozzarella | 30.00 |
Cypress Grove Cheddar | 30.00 |
Oakdale Colby | 45.00 |
Recommended questions for you
Personalized based on your user activity, skill level, and preferences.
.
.
.
.
.
.
.
.
.
Comments