Consider a data frame df with columns ['A', 'B', 'C', 'D'] and rows ['r1', 'r2', 'r3']. Which of the following expression filters the rows whose column B values are greater than 45?

Questions & Answers › Category: Programming Language › Consider a data frame df with columns ['A', 'B', 'C', 'D'] and rows ['r1', 'r2', 'r3']. Which of the following expression filters the rows whose column B values are greater than 45?

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Adam asked 2 years ago

Consider a data frame df with columns [‘A’, ‘B’, ‘C’, ‘D’] and rows [‘r1’, ‘r2’, ‘r3’]. Which of the following expression filters the rows whose column B values are greater than 45?
a. df.iloc[df.B > 45]
b. df.B > 45
c. df[df.B > 45]
d. df.loc[B > 45]

Question Tags: Data Aggregation, Data Science, Data Science Basics, Data Scientist, Python, Python Pandas

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Lokesh Kumar Staff answered 2 years ago

c. df[df.B > 45]

Consider a data frame df with columns ['A', 'B', 'C', 'D'] and rows ['r1', 'r2', 'r3']. Which of the following expression filters the rows whose column B values are greater than 45?

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