I have to create a group of matplotlib figures, which I would like to directly present in a PDF report without saving them as a file.
The data for my plots is stored in a Pandas DataFrame:
Right now I do not know other better option than first save the image and use it later.
I am doing something like that:
import matplotlib.pylab as plt
from reportlab.platypus import BaseDocTemplate, Image
for index, row in myDataFrame.iterrows():
fig = plt.figure()
plt.plot(row['Xvalues'], row['Yvalues'],'o', color='r')
fig.savefig('figure_%s.png' % (row['ID']))
plt.close(fig)
text = []
doc = BaseDocTemplate(pageName, pagesize=landscape(A4))
for f in listdir(myFolder):
if f.endswith('png'):
image1 = Image(f)
text.append(image1)
doc.build(text)
Here is the best solution provided by matplotlib itself:
from matplotlib.backends.backend_pdf import PdfPages
import matplotlib.pyplot as plt
with PdfPages('foo.pdf') as pdf:
#As many times as you like, create a figure fig and save it:
fig = plt.figure()
pdf.savefig(fig)
....
fig = plt.figure()
pdf.savefig(fig)
Voilà
Find a full example here: multipage pdf matplotlib