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The section of Matplotlib does not contain a section 2.1 and 2.3 - jumps to 2.3
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In the histogram section - "First, we'll generate the data to plot. We're going to make a normal distribution with mean 5 and standard deviation 3 for 1000 points."
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Perhaps adding graphing multiple graphs with matplotlib
When we run this code, we see that we can show both the sine and cosine function in one graph.
X = np.linspace(-np.pi, np.pi, 256, endpoint=True)
C,S = np.cos(X), np.sin(X)
plt.plot(X,C, "r")
plt.plot(X,S, "b")
plt.show()
With subplot you can arrange plots in a regular grid. The code below shows the cosine function on top and the sine function on the bottom.
plt.subplot(2, 1, 1)
plt.plot(X,C, "r")
plt.subplot(2, 1, 2)
plt.plot(X,S, "b")
plt.show()
- Section 4 for the ggplot, state that this is based on R's gglot2.
The section of Matplotlib does not contain a section 2.1 and 2.3 - jumps to 2.3
In the histogram section - "First, we'll generate the data to plot. We're going to make a normal distribution with mean 5 and standard deviation 3 for 1000 points."
Perhaps adding graphing multiple graphs with matplotlib
When we run this code, we see that we can show both the sine and cosine function in one graph.
X = np.linspace(-np.pi, np.pi, 256, endpoint=True)
C,S = np.cos(X), np.sin(X)
plt.plot(X,C, "r")
plt.plot(X,S, "b")
plt.show()
With subplot you can arrange plots in a regular grid. The code below shows the cosine function on top and the sine function on the bottom.
plt.subplot(2, 1, 1)
plt.plot(X,C, "r")
plt.subplot(2, 1, 2)
plt.plot(X,S, "b")
plt.show()