How do I display multiple matplotlib.pyplot plots in the same figure?

Question

I'm making three scatter plots, and I'd like them to all show up in the same window (but not in the same plot). Right now, three separate windows pop up, one for each plot. If I move matplotlib.pyplot.show() outside the loop, then they are all plotted on the same set of axes.

import matplotlib.pyplot

time = [1,2,3]
value = {}
value['x'] = [1,2,3]
value['y'] = [1,4,9]
value['z'] = [1,8,27]
for dimension in ['x', 'y', 'z']:
    matplotlib.pyplot.scatter(time, value[dimension])
    matplotlib.pyplot.show()

Possible duplicate of stackoverflow.com/questions/1358977/… — cyborg
– cyborg, Commented Dec 15, 2011 at 16:42
@cyborg I saw that, but I still couldn't figure out my problem. — BenH
– BenH, Commented Dec 15, 2011 at 16:43

David Zwicker · Accepted Answer · 2011-12-15 16:43:46Z

4

use subplot to create subplots:

import matplotlib.pyplot as plt

time = [1,2,3]
value = {}
value['x'] = [1,2,3]
value['y'] = [1,4,9]
value['z'] = [1,8,27]
for k, dimension in enumerate(['x', 'y', 'z']):
    plt.subplot(3, 1, k)
    plt.scatter(time, value[dimension])

plt.show()

answered Dec 15, 2011 at 16:43

David Zwicker

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Salt_from_the_Sea · Accepted Answer · 2019-09-10 16:33:38Z

1

I think there has been a python version change that breaks the above code, it did not run for me because enumerate now starts at 0, for example enumerate(iterable, start=0) is the base case, so I made the following modification and it ran:

import matplotlib.pyplot as plt

time = [1,2,3]
value = {}
value['x'] = [1,2,3]
value['y'] = [1,4,9]
value['z'] = [1,8,27]
for k, dimension in enumerate(['x', 'y', 'z'], 1):
#     print(k, dimension)
    plt.subplot(3, 1, k)
    plt.scatter(time, value[dimension])

plt.show()

answered Sep 10, 2019 at 16:33

Salt_from_the_Sea

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