Difference between iloc.values and iloc

Q&A DQ Courses
#1

I am going through the bar plot section in dataquest. I came across a statement bar_heights = norm_reviews[num_cols].iloc[0].values . How is this different from bar_heights = norm_reviews[num_cols].iloc[0] ? Is there any special purpose for the .Values?

Thank you in advance.

#2

You can read the documentation on .values using the help builtin-method.

import numpy as np
import pandas as pd
help(pd.Series.values)

The purpose of .values is to convert the pd.Series as np.ndarray or ndarray-like.

#3

@alvinctk Thank you…it is helpful

#4

I was trying to understand this also. What I don’t get is why this step is needed. Does the axes.bar() method specifically require a np.ndarray rather than a pd.Series?