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Save multiple plots in a single PDF file

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How do I save multiple plots as PDF in R?

To save multiple plots to the same page in the PDF file, we use the par() function to create a grid and then add plots to the grid. In this way, all the plots are saved on the same page of the pdf file. We use the mfrow argument to the par() function to create the desired grid.

How do I save multiple plots in python?

Create a user-defind function, save_multi_image, and call it to save all the open matplotlib figures in one file at once. Create a new PdfPages object, pp. Get the number of open figures. Iterate the opened figures and save them into a file.

How do I save a subplot in PDF?

By using savefig() method we save subplots in a pdf file by passing extension . pdf to filename. In last, we use tight_layout() method for auto adjustment of subplots and show() method to generate subplots on user screen.

How do I save multiple Ggplots?

For this function, we simply specify the different ggplot objects in order, followed by the number of columns (ncol) and numebr of rows (nrow). This function is awesome at aligning axes and resizing figures. From here, we can simply save the arranged plot using ggsave() .


If someone ends up here from google, looking to convert a single figure to a .pdf (that was what I was looking for):

import matplotlib.pyplot as plt

f = plt.figure()
plt.plot(range(10), range(10), "o")
plt.show()

f.savefig("foo.pdf", bbox_inches='tight')

For multiple plots in a single pdf file you can use PdfPages

In the plotGraph function you should return the figure and than call savefig of the figure object.

------ plotting module ------

def plotGraph(X,Y):
      fig = plt.figure()
      ### Plotting arrangements ###
      return fig

------ plotting module ------

----- mainModule ----

from matplotlib.backends.backend_pdf import PdfPages

plot1 = plotGraph(tempDLstats, tempDLlabels)
plot2 = plotGraph(tempDLstats_1, tempDLlabels_1)
plot3 = plotGraph(tempDLstats_2, tempDLlabels_2)

pp = PdfPages('foo.pdf')
pp.savefig(plot1)
pp.savefig(plot2)
pp.savefig(plot3)
pp.close()

import datetime
import numpy as np
from matplotlib.backends.backend_pdf import PdfPages
import matplotlib.pyplot as plt

# Create the PdfPages object to which we will save the pages:
# The with statement makes sure that the PdfPages object is closed properly at
# the end of the block, even if an Exception occurs.
with PdfPages('multipage_pdf.pdf') as pdf:
    plt.figure(figsize=(3, 3))
    plt.plot(range(7), [3, 1, 4, 1, 5, 9, 2], 'r-o')
    plt.title('Page One')
    pdf.savefig()  # saves the current figure into a pdf page
    plt.close()

    plt.rc('text', usetex=True)
    plt.figure(figsize=(8, 6))
    x = np.arange(0, 5, 0.1)
    plt.plot(x, np.sin(x), 'b-')
    plt.title('Page Two')
    pdf.savefig()
    plt.close()

    plt.rc('text', usetex=False)
    fig = plt.figure(figsize=(4, 5))
    plt.plot(x, x*x, 'ko')
    plt.title('Page Three')
    pdf.savefig(fig)  # or you can pass a Figure object to pdf.savefig
    plt.close()

    # We can also set the file's metadata via the PdfPages object:
    d = pdf.infodict()
    d['Title'] = 'Multipage PDF Example'
    d['Author'] = u'Jouni K. Sepp\xe4nen'
    d['Subject'] = 'How to create a multipage pdf file and set its metadata'
    d['Keywords'] = 'PdfPages multipage keywords author title subject'
    d['CreationDate'] = datetime.datetime(2009, 11, 13)
    d['ModDate'] = datetime.datetime.today()