Practice Creating NumPy Arrays - Learn NumPy Series
This Video is a part of a NumPy Tutorial Series: Start the entire series here:
In this video we'll get some more practice creating NumPy Arrays. We'll make a 3x3 array, a 4x3 array, look at hetergenously typed array creation, and the practice problem will be to make a 5x2 array in one line.
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pip3 install numpy
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Full code from the video:
import numpy as np
# 3x3
seq_a = [1,2,3]
seq_b = [4,5,6]
seq_c = [7,8,9]
array_abc = np.array([seq_a, seq_b, seq_c])
# Creating an Array from multiple lists. Note how we have to include all the lists in a second set of square brackets
# This is one way to make a nested list in Python
print(array_abc)
# What happens when we add floats as a new row in our array?
seq_d = [10.5,11.5,12.5]
array_abcd = np.array([seq_a, seq_b, seq_c, seq_d])
print(array_abcd)
# When we add floats to our numpy array, the entire dataset must then have the same data type.
# int data type does not accurately explain our float numbers, so the entire dataset is converted to float
# Challenge Answer: Make a 2x5 Array in one line with nested lists
array_d = np.array([[1,2],[3,4],[5,6],[7,8],[9,10]])
Packages (& Versions) used in this video:
Python 3.7
NumPy 1.17
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