Python - plt.tight_layout() TypeError: 'module' object is not callable

Question

im trying to run the following code

import matplotlib as plt

def plot_filters(layer, x, y):

    filters = layer.get_weights()
    fig = plt.figure.Figure()

    for j in range(len(filters)):
        ax = fig.add_subplot(y, x, j+1)
        ax.matshow(filters[j][0], cmap = plt.cm.binary)
        plt.xticks(np.array([]))
        plt.yticks(np.array([]))

    plt.tight_layout()
    return plt

plot_filters(model.layers[0], 8, 4)

when running this I am receiving 'module' object is not callable and it is referencing the plt.tight_layout() line. Cant figure out how to call this. It is present in the matplotlib package.

Any help will be appreciated!

Thanks

@nsaura unfortunately, when i run fig=plt.figure() it gives me the same error but instead it references the fig=plt.figure() line, — The BrownBatman
– The BrownBatman, Commented Oct 31, 2018 at 9:37
@nsaura that seems to work (i can mark your answer if you post it); umm I have a new error now ValueError: too many values to unpack (expected 2). Can you possibly help me with that? — The BrownBatman
– The BrownBatman, Commented Oct 31, 2018 at 9:43
It's may be because of the return. Try to call p = plot_filters(model.layers[0], 8, 4) — nsaura
– nsaura, Commented Oct 31, 2018 at 9:45

DavidG · Accepted Answer · 2018-10-31 10:16:34Z

5

You have imported the matplotlib module itself as plt, where you should be importing the pyplot module as plt instead:

import matplotlib.pyplot as plt
import matplotlib.cm as cm

def plot_filters(layer, x, y):

    filters = layer.get_weights()
    fig = plt.figure()

    for j in range(len(filters)):
        ax = fig.add_subplot(y, x, j+1)
        ax.matshow(filters[j][0], cmap = cm.binary)
        plt.xticks(np.array([]))
        plt.yticks(np.array([]))

    plt.tight_layout()

plot_filters(model.layers[0], 8, 4)

answered Oct 31, 2018 at 10:16

DavidG

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7 Comments

The BrownBatman Over a year ago

i get an additional error ValueError: too many values to unpack (expected 2) is there any clue you can give to solve this? thanks! :)

DavidG Over a year ago

Where do you get that error? Can you give the full traceback?

The BrownBatman Over a year ago

there you go

Traceback (most recent call last):   File "C:\Users\black\Desktop\Uni Work\2018\Sem 2\NIC\Assignment 2\Code\CNN.py", line 84, in <module>     plot_filters(model.layers[0], 8, 4)   File "C:\Users\black\Desktop\Uni Work\2018\Sem 2\NIC\Assignment 2\Code\CNN.py", line 20, in plot_filters     ax.matshow(filters[j][0], cmap = plt.cm.binary)   File "C:\Program Files (x86)\Microsoft Visual Studio\Shared\Python36_64\lib\site-packages\matplotlib\axes\_axes.py", line 7841, in matshow     nr, nc = Z.shape ValueError: too many values to unpack (expected 2)

DavidG Over a year ago

It's something to do with your data. I don't know what filters looks like so can't really say. It should be a 2D array

The BrownBatman Over a year ago

yea when I output the weights they show up as a 2D array but I can seem to load them

|

Alex Prokop · Accepted Answer · 2021-08-23 16:27:14Z

0

try to write it like this

import matplotlib.pyplot as plt
import matplotlib.cm as cm

def plot_filters(layer, x, y):

    filters = layer.get_weights()
    fig = plt.figure()

    for j in range(len(filters)):
        ax = fig.add_subplot(y, x, j+1)
        ax.matshow(filters[j][0], cmap = cm.binary)
        plt.xticks(np.array([]))
        plt.yticks(np.array([]))

    fig.tight_layout()

plot_filters(model.layers[0], 8, 4)

answered Aug 23, 2021 at 16:27

Alex Prokop

1

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