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Matplotlib (pyplot) savefig outputs blank image

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Why am I getting a blank plot in Python?

The reason your plot is blank is that matplotlib didn't auto-adjust the axis according to the range of your patches. Usually, it will do the auto-adjust jobs with some main plot functions, such as plt. plot(), plt. scatter() ... .

Why is %Matplotlib inline?

Why matplotlib inline is used. You can use the magic function %matplotlib inline to enable the inline plotting, where the plots/graphs will be displayed just below the cell where your plotting commands are written. It provides interactivity with the backend in the frontends like the jupyter notebook.

How do I save an image in Pyplot?

Saving a plot on your disk as an image file Now if you want to save matplotlib figures as image files programmatically, then all you need is matplotlib. pyplot. savefig() function. Simply pass the desired filename (and even location) and the figure will be stored on your disk.

What is PLT GCF ()?

pyplot. gcf() is primarily used to get the current figure. If no current figure is available then one is created with the help of the figure() function.


First, what happens when T0 is not None? I would test that, then I would adjust the values I pass to plt.subplot(); maybe try values 131, 132, and 133, or values that depend whether or not T0 exists.

Second, after plt.show() is called, a new figure is created. To deal with this, you can

  1. Call plt.savefig('tessstttyyy.png', dpi=100) before you call plt.show()

  2. Save the figure before you show() by calling plt.gcf() for "get current figure", then you can call savefig() on this Figure object at any time.

For example:

fig1 = plt.gcf()
plt.show()
plt.draw()
fig1.savefig('tessstttyyy.png', dpi=100)

In your code, 'tesssttyyy.png' is blank because it is saving the new figure, to which nothing has been plotted.


plt.show() should come after plt.savefig()

Explanation: plt.show() clears the whole thing, so anything afterwards will happen on a new empty figure


change the order of the functions fixed the problem for me:

  • first Save the plot
  • then Show the plot

as following:

plt.savefig('heatmap.png')

plt.show()

Calling savefig before show() worked for me.

fig ,ax = plt.subplots(figsize = (4,4))
sns.barplot(x='sex', y='tip', color='g', ax=ax,data=tips)
sns.barplot(x='sex', y='tip', color='b', ax=ax,data=tips)
ax.legend(['Male','Female'], facecolor='w')

plt.savefig('figure.png')
plt.show()

let's me give a more detail 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.title(title)
    plt.savefig(title+".png")  # should before plt.show method

    plt.show()


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__':
    test_draw()

enter image description here