Python matplotlib中的图像网格,无填充
我正在尝试使用gridspec在matplotlib中创建图像网格。问题是,我似乎无法消除行之间的填充 这是我试图解决的问题Python matplotlib中的图像网格,无填充,python,matplotlib,Python,Matplotlib,我正在尝试使用gridspec在matplotlib中创建图像网格。问题是,我似乎无法消除行之间的填充 这是我试图解决的问题 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.grids
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()
还有人知道如何使每个子地块变大吗?对我来说,
aspect=“auto”
和subplot\u adjust
的组合起了作用。而且我总是尝试使子地块二次。对于单个子批次,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()
有帮助吗?还可以看到,matplotlib定义子地块位置的方式存在限制,因为
imshow
会强制每个图形的纵横比为1(因此为正方形),即使hspace=0,wspace=0
,子地块位置的定义也会产生间隙。我现在没有时间详细说明,但要解决这个问题,您实际上需要计算每个人物大小调整事件的左
、右
、下
和上
应该是什么。或者,只需使用imshow(…,aspect='auto')
,但您将拥有非方形像素。非常棒!我使用了fig=plt.figure(dpi=300)
以更高的分辨率渲染。