plot an odd number of numpy arrays in subplots

Question

I have to visualize preliminary processing results, that only exist as numpy ndarrays. To do so, I am using pyplot (plt) from matplotlib and imshow + subplots.

fig, ((mb_arr, mk_arr),(k10_b, k10_l)) = plt.subplots(3, 2, figsize=(16, 12))
mb_arr.imshow(mb_2014_array, cmap='gray', interpolation='nearest')
mk_arr.imshow(mk_2014_array, cmap='gray', interpolation='nearest')
k10_b.imshow(k10_build_array, cmap='gray', interpolation='nearest')
k10_l.imshow(k10_lake_array, cmap='gray', interpolation='nearest')
k10_f.imshow(k10_forest_array, cmap='gray', interpolation='nearest');

However, I am stuck with four out of five results, because I can't get the fifth array printed in the setup of subplots. Below is the code I am using at the moment, and the error here is:

--> fig, ((mb_arr, mk_arr),(k10_b, k10_l), (k10_f, )) = plt.subplots(3, 2, figsize=(16, 12))

ValueError: too many values to unpack

How do I have to specify, that the last row in the 3 x 2 grid will contain only one element?

Ophir Carmi · Accepted Answer · 2016-10-27 13:41:54Z

1

I used http://www.python-course.eu/matplotlib_multiple_figures.php

import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 1, 1000)
plt.figure()
for i in range(1, 5):
    plt.subplot(3,2,i)
    plt.plot(np.sin(x))
plt.subplot(3,2,(5,6))
plt.plot(np.sin(x))
plt.show()

and with imshow and cmap and interpolation.

import matplotlib.pyplot as plt
import numpy as np
np.random.seed(2)
x = np.random.randint(0, 255, [10, 20])
fig = plt.figure()
for i in range(1, 5):
    plt.subplot(3,2,i)
    plt.imshow(x, cmap='gray', interpolation='nearest')
plt.subplot(3,2,(5,6))
plt.imshow(x, cmap='gray', interpolation='nearest')
plt.show()

edited Oct 27, 2016 at 13:41

answered Oct 27, 2016 at 13:02

Ophir Carmi

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2 Comments

TomGeo Over a year ago

Yes, I've seen the course and the examples as well. Using subplot I can arrange the different arrays. Any chance for a solution using the subplots method?

TomGeo Over a year ago

Sorry I realized that too late. Your solution works for sure. Would you know how to get it to work with subplots?

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