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jupyter_quickstart_numpy_matplotlib_sine_wave_plot.py
pythonThis example demonstrates basic data visualization using NumPy and Matplotlib, w
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jupyter_quickstart_numpy_matplotlib_sine_wave_plot.py
1import matplotlib.pyplot as plt
2import numpy as np
3
4# Create data for a sine wave
5t = np.arange(0.0, 2.0, 0.01)
6s = 1 + np.sin(2 * np.pi * t)
7
8# Create a figure and axis
9fig, ax = plt.subplots()
10ax.plot(t, s)
11
12# Set labels and title
13ax.set(xlabel='time (s)', ylabel='voltage (mV)',
14 title='About as simple as it gets, folks')
15ax.grid()
16
17# Display the plot
18plt.show()