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?

0 Vote Up Vote Down

Adam asked 3 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

1 Answers

0 Vote Up Vote Down

Lokesh Kumar Staff answered 3 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?

Like this:

Like this:

Share this:

Like this:

Share this:

Like this: