FAQ: Histograms - Plotting a Histogram

This community-built FAQ covers the “Plotting a Histogram” exercise from the lesson “Histograms”.

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This exercise can be found in the following Codecademy content:

Learn Statistics With Python

FAQs on the exercise Plotting a Histogram

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In order to have the ticks line up with the bins, use:

ax = plt.subplot()

ax.set_xticks(range(0, 25, 6))
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Hello everyone,

Can someone please help me understand the difference between using:
plt.bar() and np.histogram() ?

I’m assuming np and plt are references to numpy and matplotlib.pyplot respectively, that is they were imported in the following way-

import numpy as np
import matplotlib.pyplot as plt

plt.bar is a function which uses matplotlib to create a bar plot-
https://matplotlib.org/3.2.1/api/_as_gen/matplotlib.pyplot.bar.html

np.histogram is a function for creating the values used for a histogram (but not the figure), it just provides the data in the form a histogram uses, frequency binning to certain intervals-
https://numpy.org/doc/1.18/reference/generated/numpy.histogram.html

If you’re using the two together you can then create the actual visual hsitogram for a particular set of data with matplotlib.pyplot.bar

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