Save plot to image file instead of displaying it using Matplotlib


This displays the figure in a GUI:

import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [1, 4, 9])

But how do I instead save the figure to a file (e.g. foo.png)?


The solution is:

Answered By: Lukasz Czerwinski

When using matplotlib.pyplot.savefig, the file format can be specified by the extension:

from matplotlib import pyplot as plt


That gives a rasterized or vectorized output respectively.
In addition, there is sometimes undesirable whitespace around the image, which can be removed with:

plt.savefig('foo.png', bbox_inches='tight')

Note that if showing the plot, should follow plt.savefig(); otherwise, the file image will be blank.

Answered By: Hooked

If you don’t like the concept of the “current” figure, do:

import matplotlib.image as mpimg

img = mpimg.imread("src.png")
mpimg.imsave("out.png", img)
Answered By: wonder.mice

As others have said, plt.savefig() or fig1.savefig() is indeed the way to save an image.

However I’ve found that in certain cases the figure is always shown. (eg. with Spyder having plt.ion(): interactive mode = On.) I work around this by
forcing the the figure window to close with:


(see documentation). This way I don’t have a million open figures during a large loop. Example usage:

import matplotlib.pyplot as plt
fig, ax = plt.subplots( nrows=1, ncols=1 )  # create figure & 1 axis
ax.plot([0,1,2], [10,20,3])
fig.savefig('path/to/save/image/to.png')   # save the figure to file
plt.close(fig)    # close the figure window

You should be able to re-open the figure later if needed to with (didn’t test myself).

Answered By: Demis
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.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')

    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

    # 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. Seppxe4nen'
    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'] =
Answered By: Victor Juliet

If, like me, you use Spyder IDE, you have to disable the interactive mode with :


(this command is automatically launched with the scientific startup)

If you want to enable it again, use :


Answered By: Covich

Just found this link on the MatPlotLib documentation addressing exactly this issue:

They say that the easiest way to prevent the figure from popping up is to use a non-interactive backend (eg. Agg), via matplotib.use(<backend>), eg:

import matplotlib
import matplotlib.pyplot as plt

I still personally prefer using plt.close( fig ), since then you have the option to hide certain figures (during a loop), but still display figures for post-loop data processing. It is probably slower than choosing a non-interactive backend though – would be interesting if someone tested that.

UPDATE: for Spyder, you usually can’t set the backend in this way (Because Spyder usually loads matplotlib early, preventing you from using matplotlib.use()).

Instead, use plt.switch_backend('Agg'), or Turn off “enable support” in the Spyder prefs and run the matplotlib.use('Agg') command yourself.

From these two hints: one, two

Answered By: Demis

The Solution :

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib'ggplot')
ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000))
ts = ts.cumsum()
plt.savefig("foo.png", bbox_inches='tight')

If you do want to display the image as well as saving the image use:

%matplotlib inline

import matplotlib

Answered By: Durgesh satam

I used the following:

import matplotlib.pyplot as plt

p1 = plt.plot(dates, temp, 'r-', label="Temperature (celsius)")  
p2 = plt.plot(dates, psal, 'b-', label="Salinity (psu)")  
plt.legend(loc='upper center', numpoints=1, bbox_to_anchor=(0.5, -0.05),        ncol=2, fancybox=True, shadow=True)


I found very important to use after saving the figure, otherwise it won’t work.figure exported in png

Answered By: Cristian Muñoz

The other answers are correct. However, I sometimes find that I want to open the figure object later. For example, I might want to change the label sizes, add a grid, or do other processing. In a perfect world, I would simply rerun the code generating the plot, and adapt the settings. Alas, the world is not perfect. Therefore, in addition to saving to PDF or PNG, I add:

with open('some_file.pkl', "wb") as fp:
    pickle.dump(fig, fp, protocol=4)

Like this, I can later load the figure object and manipulate the settings as I please.

I also write out the stack with the source-code and locals() dictionary for each function/method in the stack, so that I can later tell exactly what generated the figure.

NB: Be careful, as sometimes this method generates huge files.

Answered By: gerrit

After using the plot() and other functions to create the content you want, you could use a clause like this to select between plotting to the screen or to file:

import matplotlib.pyplot as plt

fig = plt.figure(figsize=(4, 5))       # size in inches
# use plot(), etc. to create your plot.

# Pick one of the following lines to uncomment
# save_file = None
# save_file = os.path.join(your_directory, your_file_name)  

if save_file:
Answered By: Mark P.

You can either do:

and remember to let savefig finish before closing the GUI plot. This way you can see the image beforehand.

Alternatively, you can look at it with
Then close the GUI and run the script again, but this time replace with plt.savefig().

Alternatively, you can use

fig, ax = plt.figure(nrows=1, ncols=1)
Answered By: Nutcracker

According to question Matplotlib (pyplot) savefig outputs blank image.

One thing should note: if you use and it should after plt.savefig, or you will give a blank image.

A detailed example:

import numpy as np
import matplotlib.pyplot as plt

def draw_result(lst_iter, lst_loss, lst_acc, title):
    plt.plot(lst_iter, lst_loss, '-b', label='loss')
    plt.plot(lst_iter, lst_acc, '-r', label='accuracy')

    plt.xlabel("n iteration")
    plt.legend(loc='upper left')
    plt.savefig(title+".png")  # should before method

def test_draw():
    lst_iter = range(100)
    lst_loss = [0.01 * i + 0.01 * i ** 2 for i in xrange(100)]
    # lst_loss = np.random.randn(1, 100).reshape((100, ))
    lst_acc = [0.01 * i - 0.01 * i ** 2 for i in xrange(100)]
    # lst_acc = np.random.randn(1, 100).reshape((100, ))
    draw_result(lst_iter, lst_loss, lst_acc, "sgd_method")

if __name__ == '__main__':

enter image description here

Answered By: Jayhello
import matplotlib.pyplot as plt

In Jupyter Notebook you have to remove and add plt.savefig(), together with the rest of the plt-code in one cell.
The image will still show up in your notebook.

Answered By: Punnerud

Given that today (was not available when this question was made) lots of people use Jupyter Notebook as python console, there is an extremely easy way to save the plots as .png, just call the matplotlib‘s pylab class from Jupyter Notebook, plot the figure ‘inline’ jupyter cells, and then drag that figure/image to a local directory. Don’t forget
%matplotlib inline in the first line!

Answered By: Shivid

You can save your image with any extension(png, jpg,etc.) and with the resolution you want. Here’s a function to save your figure.

import os

def save_fig(fig_id, tight_layout=True, fig_extension="png", resolution=300):
    path = os.path.join(IMAGES_PATH, fig_id + "." + fig_extension)
    print("Saving figure", fig_id)
    if tight_layout:
    plt.savefig(path, format=fig_extension, dpi=resolution)

‘fig_id’ is the name by which you want to save your figure. Hope it helps:)

Answered By: Rudresh Dixit

Additionally to those above, I added __file__ for the name so the picture and Python file get the same names. I also added few arguments to make It look better:

# Saves a PNG file of the current graph to the folder and updates it every time
# (nameOfimage, dpi=(sizeOfimage),Keeps_Labels_From_Disappearing)
plt.savefig(__file__+".png",dpi=(250), bbox_inches='tight')
# Hard coded name: './test.png'
Answered By: r_e

You can do it like this:

def plotAFig():
Answered By: Mark

As suggested before, you can either use:

import matplotlib.pyplot as plt

For saving whatever IPhython image that you are displaying. Or on a different note (looking from a different angle), if you ever get to work with open cv, or if you have open cv imported, you can go for:

import cv2


But this is just in case if you need to work with Open CV. Otherwise plt.savefig() should be sufficient.

Answered By: Aditya Bhattacharya

When using matplotlib.pyplot, you must first save your plot and then close it using these 2 lines:

fig.savefig('plot.png') # save the plot, place the path you want to save the figure in quotation
plt.close(fig) # close the figure window
Answered By: user11733125

Nothing was working for me. The problem is that the saved imaged was very small and I could not find how the hell make it bigger.

This seems to make it bigger, but still not full screen.

fig.set_size_inches((w, h))

Hope that helps somebody.

Answered By: pedro rodriguez

Just a extra note because I can’t comment on posts yet.

If you are using plt.savefig('myfig') or something along these lines make sure to add a plt.clf() after your image is saved. This is because savefig does not close the plot and if you add to the plot after without a plt.clf() you’ll be adding to the previous plot.

You may not notice if your plots are similar as it will plot over the previous plot, but if you are in a loop saving your figures the plot will slowly become massive and make your script very slow.

Answered By: Woodyet

well, I do recommend using wrappers to render or control the plotting. examples can be mpltex ( or prettyplotlib (

import mpltex

def myplot():
  plt.savefig('xxxx')  # the figure format was controlled by the decorator, it can be either eps, or pdf or png....

I basically use this decorator a lot for publishing academic papers in various journals at American Chemical Society, American Physics Society, Opticcal Society American, Elsivier and so on.

An example can be found as following image (
an example of gradient descent

Answered By: Mark

using ‘agg’ due to no gui on server.
Debugging on ubuntu 21.10 with gui and VSC.
In debug, trying to both display a plot and then saving to file for web UI.

Found out that saving before showing is required, otherwise saved plot is blank. I suppose that showing will clear the plot for some reason. Do this:


Instead of this:
Answered By: creeser
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