Matplotlib：更改子图大小

Question

下面的代码片段工作得很好。但是，我想增加正在绘制的子图像的大小。如何更改子图大小并提高图像质量？

from keras.applications.vgg16 import VGG16
from keras.applications.vgg16 import preprocess_input
from keras.preprocessing.image import load_img
from keras.preprocessing.image import img_to_array
from keras.models import Model
from matplotlib import pyplot
from numpy import expand_dims

# load the model
model = VGG16()
# redefine model to output right after the first hidden layer
ixs = [2, 5, 9, 13, 17]
outputs = [model.layers[i].output for i in ixs]
model = Model(inputs=model.inputs, outputs=outputs)
# load the image with the required shape
img = load_img('your_image.jpg', target_size=(224, 224))
# convert the image to an array
img = img_to_array(img)
# expand dimensions so that it represents a single 'sample'
img = expand_dims(img, axis=0)
# prepare the image (e.g. scale pixel values for the vgg)
img = preprocess_input(img)
# get feature map for first hidden layer
feature_maps = model.predict(img)
# plot the output from each block
square = 8
for fmap in feature_maps:
    # plot all 64 maps in an 8x8 squares
    ix = 1
    for _ in range(square):
        for _ in range(square):
            # specify subplot and turn of axis
            ax = pyplot.subplot(square, square, ix)
            ax.set_xticks([])
            ax.set_yticks([])
            # plot filter channel in grayscale
            pyplot.imshow(fmap[0, :, :, ix-1], cmap='gray')
            ix += 1
    # show the figure
    pyplot.show()

Answer 1

您可以简单地添加这行代码：

no_of_rows = 4 # rows of your subplots
no_of_cols = 2 # columns of your subplots
pyplot.subplots(no_of_rows, no_of_cols, figsize=(20,10))

Matplotlib：更改子图大小

Matplotlib: change subplot size

python

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