182

Pycharm does not show plot from the following code:

import pandas as pd
import numpy as np
import matplotlib as plt

ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000))

ts = ts.cumsum()    
ts.plot()

What happens is that a window appears for less than a second, and then disappears again.

Using the Pyzo IEP IDE (using same interpreter) on the same code the plot shows as expected.

...So the problem must be with some setting on Pycharm. I've tried using both python.exe and pythonw.exe as interpreter both with same results.

This is my sys_info:

C:\pyzo2014a\pythonw.exe -u C:\Program Files (x86)\JetBrains\PyCharm Community Edition 3.4.1\helpers\pydev\pydevconsole.py 57315 57316
PyDev console: using IPython 2.1.0import sys; print('Python %s on %s' % (sys.version, sys.platform))
Python 3.4.1 |Continuum Analytics, Inc.| (default, May 19 2014, 13:02:30) [MSC v.1600 64 bit (AMD64)] on win32
sys.path.extend(['C:\\Users\\Rasmus\\PycharmProjects\\untitled2'])
In[3]: import IPython
print(IPython.sys_info())
{'commit_hash': '681fd77',
 'commit_source': 'installation',
 'default_encoding': 'UTF-8',
 'ipython_path': 'C:\\pyzo2014a\\lib\\site-packages\\IPython',
 'ipython_version': '2.1.0',
 'os_name': 'nt',
 'platform': 'Windows-8-6.2.9200',
 'sys_executable': 'C:\\pyzo2014a\\pythonw.exe',
 'sys_platform': 'win32',
 'sys_version': '3.4.1 |Continuum Analytics, Inc.| (default, May 19 2014, '
                '13:02:30) [MSC v.1600 64 bit (AMD64)]'}
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25 Answers 25

Reset to default
202

Just use

import matplotlib.pyplot as plt
plt.show()

This command tells the system to draw the plot in Pycharm.

Example:

plt.imshow(img.reshape((28, 28)))
plt.show()
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7 Comments

It's really amazing - this worked for me, and none of the others did. What was surprising is, I didn't need plt.show() in Jupyter Notebook, dunno why the behavior is different in PyCharm
same here. I didn't need it in Jupyter Notebook
I always forget to call that too. This tell the system to actually draw it in pycharm. Notebook will auto call draw and print functions by default. I think it was made like that for quicker prototyping.
Could be that you don't need it in notebooks because you did something like this %matplotlib inline. @CGFox, draw is meant explicitly to render to memory but not display to the screen (or file). You need to either plt.pause(0.1) to get the plots to show, or call plt.show(pause=True) at some other point in code to get them to render
Am I wrong, or is this answer technically wrong? He uses import matplotlib as plt so it would have been plt.pyplot.show() or the note, that we use the common import matplotlib.pyplot as plt!?
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71

I realize this is old but I figured I'd clear up a misconception for other travelers. Setting plt.pyplot.isinteractive() to False means that the plot will on be drawn on specific commands to draw (i.e. plt.pyplot.show()). Setting plt.pyplot.isinteractive() to True means that every pyplot (plt) command will trigger a draw command (i.e. plt.pyplot.show()). So what you were more than likely looking for is plt.pyplot.show() at the end of your program to display the graph.

As a side note you can shorten these statements a bit by using the following import command import matplotlib.pyplot as plt rather than matplotlib as plt.

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3 Comments

Adding plt.show(block=True) to the end of my function is what worked for me. Thank you for the clarification. (Python 3.x, PyCharm 2016.1.4, Ubuntu)
This is what works for me (Python 2.7, Pycharm 2016.3, Ubuntu 16.04): "import matplotlib.pyplot as plt", then the function plot from DataFrame like in "corr_data[col].plot(kind="bar", figsize=(8, 5), grid=True, color="r", title=col)" and before leaving the function, "plt.show()"
It looks like Pycharm doesn't like interactive mode. Even with it on and a call to plt.show() I get a frozen and blank display window. I have to force close python to move on. However, setting plt.show(block=True) resulted in the desired behavior.
47 
import matplotlib
matplotlib.use('TkAgg')

Works for me. (PyCharm/OSX)

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4 Comments

This has also worked for me on Windows 10 when plt.show() did not help any more in a newer version of PyCharm (2020.1).
For me too. The interesting is, that in Pycharm CE it works without it, but in Pro (2020.1) matplotlib.use('TkAgg') was the only thing that helped. What's the point?
worked on windows too!
worked on ubuntu (22)
43

I tried different solutions but what finally worked for me was plt.show(block=True). You need to add this command after the myDataFrame.plot() command for this to take effect. If you have multiple plot just add the command at the end of your code. It will allow you to see every data you are plotting.

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3 Comments

This did it for me. Should be the accepted answer. Messing with the plt.interactive() did nothing
I agree because this helped me, too. Setting the interactive mode to False and adding "DISPLAY=TRUE" to the environment variables didn't help.
This worked for me where other answers didn't.
38

I had the same problem. Check wether plt.isinteractive() is True. Setting it to 'False' helped for me.

plt.interactive(False)
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5 Comments

Calling plt.show(block=True) helped showing the chart once for me. But the console was blocked even after closing the charts window.
plt.interactive(False) did it for me in PyCharm
I don't have Python installed anymore, so I don't know if it would work for me, but since it works for others I'll accept this answer (I hope this is correct according to stackoverflow-rules)
The correct solution is to set plt.show(block=True) as @charlie has suggested below. After you add this line the value of the plt.interactive() flag had no bearing on the plot being displayed.
This didn't work for me ` for cluster_id in range(len(tempx[0])): plt.plot(tempx, tempy, 'rx--', markersize=8) plt.legend(loc=4, framealpha=0.5) plt.interactive(False) plt.show(block=True)`
20

I test in my version of Pycharm (Community Edition 2017.2.2), you may need to announce both plt.interactive(False) and plt.show(block=True) as following:

import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(0, 6.28, 100)

plt.plot(x, x**0.5, label='square root')
plt.plot(x, np.sin(x), label='sinc')

plt.xlabel('x label')
plt.ylabel('y label')

plt.title("test plot")

plt.legend()

plt.show(block=True)
plt.interactive(False)
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3 Comments

sorry to hear that. I find it also works in Pycharm 2017.3 (community edition). May you try to use a new version of Pycharm?
Hi, Saria, sorry for that. I test it in my Pycharm 2018.1.2 (community edition) with Ubuntu OS. It works too.
Hi, it works for Pycharm 2019.3 with MacOs Catalina
15

I have found a solution. This worked for me:

import numpy as np
import matplotlib.pyplot as plt

points = np.arange(-5, 5, 0.01)
dx, dy = np.meshgrid(points, points)
z = (np.sin(dx)+np.sin(dy))
plt.imshow(z)
plt.colorbar()
plt.title('plot for sin(x)+sin(y)')
plt.show()
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2 Comments

But I am now facing a new problem. Once the plot is generated in a new window, new code which I added after the plot does not run, until I close the newly opened window.
The important line that was missing in the question is plt.show()
11

Soon after calling 

plt.imshow()

call

plt.show(block = True)

You will get the matplotlib popup with the image.

This is a blocking way. Further script will not run until the pop is closed.

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1 Comment

This is what I was looking for.
9

None of the above worked for me but the following did:

  1. Disable the checkbox (Show plots in tool window) in pycharm settings > Tools > Python Scientific.

  2. I received the error No PyQt5 module found. Went ahead with the installation of PyQt5 using :

    sudo apt-get install python3-pyqt5

Beware that for some only first step is enough and works.

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4 Comments

Please make clearer that the first step could still be the solution, as it worked for me. Stated like this, the other repeating answer of @amir1122 has a right to exist. Which is OK as well of course, and you still got my upvote.
@Lorenz. Updated according to your suggestion which makes sense.
Step 1 works, but feels like a workaround. I suspect in my case that it is because I have multiple versions of Python (3.6, 3.7, and 3.8) floating around.
I only unchecked the box and then it showed a window for a quick display and disappeared. After that I added plot.waitforbuttonpress() and now it works perfectly
6

Just add plt.pyplot.show(), that would be fine.

The best solution is disabling SciView.

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5

With me the problem was the fact that matplotlib was using the wrong backend. I am using Debian Jessie.

In a console I did the following:

import matplotlib
matplotlib.get_backend()

The result was: 'agg', while this should be 'TkAgg'.

The solution was simple:

  1. Uninstall matplotlib via pip
  2. Install the appropriate libraries: sudo apt-get install tcl-dev tk-dev python-tk python3-tk
  3. Install matplotlib via pip again.
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4

I tested in my version on PyCharm 2017.1.2. I used interactive (True) and show (block=True).

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
ts = pd.Series(np.random.randn(1000), index=pd.date_range('1//2000',periods=1000))
ts = ts.cumsum()
plt.interactive(True)
ts.plot()
plt.show(block=True)
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3

My env: macOS & anaconda3

This works for me:

matplotlib.use('macosx')

or interactive mode:

matplotlib.use('TkAgg')
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2 Comments

Add this before importing matplotlib.pyplot
To use TkAgg you also need to install tkinter.
3

i had this problem and i could solve it , you can test my way.. disable "show plots in tool window" from setting-->tools-->python scientific

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2 Comments

This answer was already provided two years ago (eg in stackoverflow.com/a/52221178/466862). When answering older questions, make sure you either answer a new, different solution, or a significantly better explanation.
This is repeating @AbdulRehmanLiaqat's answer, but it at least clearly states that this can be a possible solution. I first downvoted this because of the repetition. Now I upvoted, simply because the other answer does not state clearly that this single step here can already solve it, instead it mentions an error afterwards which did not appear in my case.
2

Comment from DanT fixed this for me, matplotlib with pycharm on linux with the GTKagg backend. Upon importing matplotlib I would get the following error:

>>> import matplotlib as mpl

Backend GTKAgg is interactive backend. Turning interactive mode on.
Failed to enable GUI event loop integration for 'gtk'

When plotting something like so:

from matplotlib import pyplot as plt
plt.figure()
plt.plot(1,2)
plt.show()

A figure screen would pop up but no charts appear. using:

plt.show(block=True)

displays the graphic correctly.

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2

For beginners, you might also want to make sure you are running your script in the console, and not as regular Python code. It is fairly easy to highlight a piece of code and run it.

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1

In my case, I wanted to do the following:

    plt.bar(range(len(predictors)), scores)
    plt.xticks(range(len(predictors)), predictors, rotation='vertical')
    plt.show()

Following a mix of the solutions here, my solution was to add before that the following commands:

    matplotlib.get_backend()
    plt.interactive(False)
    plt.figure()

with the following two imports

   import matplotlib
   import matplotlib.pyplot as plt

It seems that all the commands are necessary in my case, with a MBP with ElCapitan and PyCharm 2016.2.3. Greetings!

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1

In non-interactive env, we have to use plt.show(block=True)

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1

For those who are running a script inside an IDE (and not working in an interactive environment such as a python console or a notebook), I found this to be the most intuitive and the simplest solution:

plt.imshow(img)
plt.waitforbuttonpress()

It shows the figure and waits until the user clicks on the new window. Only then it resume the script and run the rest of the code.

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1

I was able to get a combination of some of the other suggestions here working for me, but only while toggling the plt.interactive(False) to True and back again.

plt.interactive(True)
plt.pyplot.show()

This will flash up the my plots. Then setting to False allowed for viewing.

plt.interactive(False)
plt.pyplot.show()

As noted also my program would not exit until all the windows were closed. Here are some details on my current run environment:

Python version 2.7.6
Anaconda 1.9.2 (x86_64)
(default, Jan 10 2014, 11:23:15) 
[GCC 4.0.1 (Apple Inc. build 5493)]
Pandas version: 0.13.1
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0

One property need to set for pycharm. 

import matplotlib.pyplot as plt

plt.interactive(False)  #need to set to False

dataset.plot(kind='box', subplots=True, layout=(2,2), sharex=False, sharey=False)

plt.show()
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0

Change import to:

import matplotlib.pyplot as plt

or use this line:

plt.pyplot.show()
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0

I'm using Ubuntu and I tried as @Arie said above but with this line only in terminal:

sudo apt-get install tcl-dev tk-dev python-tk python3-tk

And it worked!

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0

In Pycharm , at times the Matplotlib.plot won't show up.

So after calling plt.show() check in the right side toolbar for SciView. Inside SciView every generated plots will be stored.

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0

I was facing above error when i am trying to plot histogram and below points worked for me.

OS : Mac Catalina 10.15.5

Pycharm Version : Community version 2019.2.3

Python version : 3.7

  1. I changed import statement as below (from - to)

from :

import matplotlib.pylab as plt

to:

import matplotlib.pyplot as plt

  1. and plot statement to below (changed my command form pyplot to plt)

from:

plt.pyplot.hist(df["horsepower"])

# set x/y labels and plot title
plt.pyplot.xlabel("horsepower")
plt.pyplot.ylabel("count")
plt.pyplot.title("horsepower bins")

to :

plt.hist(df["horsepower"])

# set x/y labels and plot title
plt.xlabel("horsepower")
plt.ylabel("count")
plt.title("horsepower bins")
  1. use plt.show to display histogram

plt.show()

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