Python for TensorFlow Pocket Primer by Oswald Campesato

Author:Oswald Campesato
Language: eng
Format: mobi, epub, pdf
Tags: python
Publisher: Mercury Learning and Information
Published: 2019-08-15T04:00:00+00:00

FIGURE 4.8 A Colored Square in a Grid of Line Segments.

RANDOMIZED DATA POINTS IN MATPLOTLIB

Listing 4.9 displays the contents of lin-reg-plot.py that illustrates how to plot a graph of random points.

LISTING 4.9: lin-plot-reg.py

import numpy as np

import matplotlib.pyplot as plt

trX = np.linspace(-1, 1, 101) # Linear space of 101 and [-1,1]

#Create the y function based on the x axis

trY = 2*trX + np.random.randn(*trX.shape)*0.4+0.2

#create figure and scatter plot of the random points

plt.figure()

plt.scatter(trX,trY)

# Draw one line with the line function

plt.plot (trX, .2 + 2 * trX)

plt.show()

Listing 4.9 defines the NumPy variable trX that contains 101 equally spaced numbers that are between -1 and 1 (inclusive). The variable trY is defined in two parts: the first part is 2*trX and the second part is a random value that is partially based on the length of the one-dimensional array trX. The variable trY is the sum of these two “parts,” which creates a “fuzzy” line segment. The next portion of Listing 4.9 creates a scatterplot based on the values in trX and trY, followed by the Pyplot API plot() that renders a line segment.

Figure 4.9 displays a random set of points based on the code in Listing 4.9.

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