Grid of images in matplotlib with no padding

Question

I'm trying to make a grid of images in matplotlib using gridspec. The problem is, I can't seem to get it to get rid of the padding between the rows. Here's my attempt at the solution. ``` 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 enu…

Accepted Answer

For me a combination of `aspect="auto"` and `subplots_adjust` worked. Also I always try to make the subplots quadratic. For the individual subplot size `figsize` can be adjusted.

```
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()
```

Grid of images in matplotlib with no padding

Solution

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