python-scipyHow do I create a histogram using Python and SciPy?

To create a histogram using Python and SciPy, you can use the matplotlib.pyplot.hist() function. This function takes in an array of data and plots a histogram of the data.

import matplotlib.pyplot as plt
import numpy as np

data = np.random.randint(1, 10, size=50)

plt.hist(data)
plt.show()

This will produce a histogram of the data:

The matplotlib.pyplot.hist() function has several parameters that can be used to customize the histogram:

• bins: The number of bins used in the histogram (default is 10)
• range: The range of values for the histogram (default is the minimum and maximum of the data)
• density: Whether to normalize the data to form a probability density (default is False)
• cumulative: Whether to plot the cumulative distribution (default is False)

For example, to create a histogram with 20 bins and a range of 0 to 10:

plt.hist(data, bins=20, range=(0, 10))
plt.show()

This will produce a histogram with 20 bins and a range of 0 to 10:

For more information, see the matplotlib.pyplot.hist() documentation.

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