December 2022
Beginner to intermediate
512 pages
14h 57m
English
Content preview from Pandas for Everyone: Python Data Analysis, 2nd Edition
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R
Numpy ndarray
The numpy library1 gives Python the ability to work with matrices and arrays.
1. https://numpy.org/doc/stable/
import numpy as npPandas started off as an extension to numpy.ndarray that provided more features suitable for data analysis. Since then, Pandas has evolved to the point that it shouldn’t be thought of as a collection of numpy arrays, since the two libraries are different.
import pandas as pd
df = pd.read_csv('data/concat_1.csv')
print(df) A B C D
0 a0 b0 c0 d0
1 a1 b1 c1 d1
2 a2 b2 c2 d2
3 a3 b3 c3 d3If you do need to get the numpy.ndarray values from a Series or DataFrame, you can use the values attribute.
a = df['A']
print(a)0 a0 1 a1 2 a2 3 a3 Name: ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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