import pandas as pd df = pd.read_csv('data.csv') x = df["Calories"].mean() df["Calories"].fillna(x, inplace = True) The fillna() method will replace NULL values in the "Calories" column with the average value The fillna() method will replace ALL values in ALL columns with the average value The fillna() method will replace NULL values in all columns with the average value The fillna() method will replace NULL values in the "Calories" column with the first value
import pandas as pd df = pd.read_csv('data.csv') x = df["Calories"].mean() df["Calories"].fillna(x, inplace = True) The fillna() method will replace NULL values in the "Calories" column with the average value The fillna() method will replace ALL values in ALL columns with the average value The fillna() method will replace NULL values in all columns with the average value The fillna() method will replace NULL values in the "Calories" column with the first value
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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![Question 48
What will be output for the following code?
import pandas as pd
df = pd.read_csv('data.csv')
X = df["Calories"].mean()
df["Calories"].fillna(x, inplace = True)
The fillna() method will replace NULL values in the "Calories" column with the average value
The fillna() method will replace ALL values in ALL columns with the average value
The fillna() method will replace NULL values in all columns with the average value
The fillna() method will replace NULL values in the "Calories" column with the first value](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa2fae0d2-f8de-4d86-b278-3d843b434350%2F91dd8965-9dcd-470c-8d45-0a08ea4edb3e%2Fjmg76d_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Question 48
What will be output for the following code?
import pandas as pd
df = pd.read_csv('data.csv')
X = df["Calories"].mean()
df["Calories"].fillna(x, inplace = True)
The fillna() method will replace NULL values in the "Calories" column with the average value
The fillna() method will replace ALL values in ALL columns with the average value
The fillna() method will replace NULL values in all columns with the average value
The fillna() method will replace NULL values in the "Calories" column with the first value
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