I was wondering how to perform a similar thing. I have a set plots coming from different image files, which vary depending on the file. So the idea is, once I found a nice number of plots that can be plotted in a page, apply this for the files. Luckly, I found a solution suggested here: http://blog.marmakoide.org/?p=94. However it does not work correctly, since it only plots the first panel plots, leaving the rest of the panels empty. I modified it and here I include a working version for a (1XN) grid and the output plots.

```
import numpy
from matplotlib import pyplot as plot
from matplotlib.backends.backend_pdf import PdfPages
# Generate the data
data = numpy.random.randn(7, 1024)
# The PDF document
pdf_pages = PdfPages('histograms.pdf')
# Generate the pages
nb_plots = data.shape[0]
nb_plots_per_page = 5
nb_pages = int(numpy.ceil(nb_plots / float(nb_plots_per_page)))
grid_size = (nb_plots_per_page, 1)
for i, samples in enumerate(data):
print
print i,i % nb_plots_per_page,samples
# Create a figure instance (ie. a new page) if needed
if i % nb_plots_per_page == 0:
print 'Opening'
fig = plot.figure(figsize=(8.27, 11.69), dpi=100)
# Close the page if needed
elif (i + 1) % nb_plots_per_page == 0 or (i + 1) == nb_plots:
plot.subplot2grid(grid_size, (i % nb_plots_per_page, 0))
plot.hist(samples, 32, normed=1, facecolor='#808080', alpha=0.75)
plot.title(str(i+1))
plot.tight_layout()
pdf_pages.savefig(fig)
print 'Closing'
print i,samples
# Plot stuffs !
print i,samples
plot.subplot2grid(grid_size, (i % nb_plots_per_page, 0))
plot.hist(samples, 32, normed=1, facecolor='#808080', alpha=0.75)
plot.title(str(i+1))
# Write the PDF document to the disk
pdf_pages.close()
print 'histograms.pdf'
```