python – matplotlib中没有填充的图像网格

我正在尝试使用gridspec在matplotlib中制作一个图像网格.问题是,我似乎无法摆脱行之间的填充.

这是我对解决方案的尝试.

import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import ImageGrid
import numpy as np
from os import listdir
from os import chdir
from PIL import Image
import matplotlib.gridspec as gridspec

chdir('/home/matthew/DropBox/Work/writing/'+
    'paper_preperation/jump_figs')
files = listdir('/home/matthew/DropBox/Work/writing/'+
    'paper_preperation/jump_figs')

images = [Image.open(f) for f in files]


"""
fig = plt.figure()

grid = ImageGrid(fig,111,# similar to subplot(111)
                nrows_ncols = (2,5),# creates 2x2 grid of axes
                axes_pad=0.1,# pad between axes in inch.
                )
"""

num_rows = 2
num_cols = 5

fig = plt.figure()
gs = gridspec.GridSpec(num_rows,num_cols,wspace=0.0)

ax = [plt.subplot(gs[i]) for i in range(num_rows*num_cols)]
gs.update(hspace=0)
#gs.tight_layout(fig,h_pad=0,w_pad=0)

for i,im in enumerate(images):
    ax[i].imshow(im)
    ax[i].axis('off')
    #ax_grid[i/num_cols,i-(i/num_cols)*num_cols].imshow(im) # The AxesGrid object work as a list of axes.
    #ax_grid[i/num_cols,i-(i/num_cols)*num_cols].axis('off')

"""
all_axes = fig.get_axes()
for ax in all_axes:
    for sp in ax.spines.values():
        sp.set_visible(False)
    if ax.is_first_row():
        ax.spines['top'].set_visible(True)
    if ax.is_last_row():
        ax.spines['bottom'].set_visible(True)
    if ax.is_first_col():
        ax.spines['left'].set_visible(True)
    if ax.is_last_col():
        ax.spines['right'].set_visible(True)
"""
plt.show()

还有谁知道如何使每个子图更大？

解决方法

对我来说,aspect =“auto”和subplots_adjust的组合起作用.此外,我总是试图使子图变为二次.对于单个子图大小,可以调整figsize.

fig,axes = plt.subplots(nrows=max_rows,ncols=max_cols,figsize=(20,20))
for idx,image in enumerate(images):
    row = idx // max_cols
    col = idx % max_cols
    axes[row,col].axis("off")
    axes[row,col].imshow(image,cmap="gray",aspect="auto")
plt.subplots_adjust(wspace=.05,hspace=.05)
plt.show()