A PANDAS DATAFRAME WITH A NUMPY EXAMPLE

Listing B.1 shows the content of pandas_df.py that illustrates how to define several data frames and display their contents.

Listing B.1: pandas_df.py

import pandas as pd
import numpy as np

myvector1 = np.array([1,2,3,4,5])
print("myvector1:")
print(myvector1)
print()

mydf1 = pd.Data frame(myvector1)
print("mydf1:")
print(mydf1)
print()

myvector2 = np.array([i for i in range(1,6)])
print("myvector2:")
print(myvector2)
print()

mydf2 = pd.Data frame(myvector2)
print("mydf2:")
print(mydf2)
print()

myarray = np.array([[10,30,20],
[50,40,60],[1000,2000,3000]])
print("myarray:")
print(myarray)
print()

mydf3 = pd.Data frame(myarray)
print("mydf3:")
print(mydf3)
print()

Listing B.1 starts with standard import statements for Pandas and NumPy, followed by the definition of two one-dimensional NumPy arrays and a two-dimensional NumPy array. Each NumPy variable is followed by a corresponding...