CODEWITHSUNDEEP
pythonmatplotlibpycharm
Rasmus Larsen
Rasmus Larsen

Reputation: 6137

Pycharm does not show plot

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)]'}

Upvotes: 180

Views: 351431

Answers (25)

Joe Bobson
Joe Bobson

Reputation: 1386

import matplotlib
matplotlib.use('TkAgg')

Works for me. (PyCharm/OSX)

Upvotes: 45

Amit Lohan
Amit Lohan

Reputation: 2171

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()

Upvotes: 201

AbdulRehmanLiaqat
AbdulRehmanLiaqat

Reputation: 189

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.

Upvotes: 8

Tapan Hegde
Tapan Hegde

Reputation: 1328

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()

Upvotes: 0

amir1122
amir1122

Reputation: 57

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

Upvotes: 3

DAVIS BENNY 15MIS0426
DAVIS BENNY 15MIS0426

Reputation: 228

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.

Upvotes: 0

Nathan W
Nathan W

Reputation: 11

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

Upvotes: 1

user3915686
user3915686

Reputation: 701

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.

Upvotes: 70

Farouk Fadly
Farouk Fadly

Reputation: 3

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!

Upvotes: 0

Azim
Azim

Reputation: 1724

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.

Upvotes: 1

Mise
Mise

Reputation: 3567

Change import to:

import matplotlib.pyplot as plt

or use this line:

plt.pyplot.show()

Upvotes: 0

Nilesh Shinde
Nilesh Shinde

Reputation: 469

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()

Upvotes: 0

Taki Guan
Taki Guan

Reputation: 61

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

The best solution is disabling SciView.

Upvotes: 6

tkr_in
tkr_in

Reputation: 135

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

Upvotes: 1

Zoe L
Zoe L

Reputation: 1500

My env: macOS & anaconda3

This works for me:

matplotlib.use('macosx')

or interactive mode:

matplotlib.use('TkAgg')

Upvotes: 3

m4ndy
m4ndy

Reputation: 43

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)

Upvotes: 4

tairen
tairen

Reputation: 409

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)

Upvotes: 19

Sudeep K Rana
Sudeep K Rana

Reputation: 319

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.

Upvotes: 10

Uli Alskelung Von Hornbol
Uli Alskelung Von Hornbol

Reputation: 153

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.

Upvotes: 2

Charlie Armstrong
Charlie Armstrong

Reputation: 451

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.

Upvotes: 42

Marc Torrellas
Marc Torrellas

Reputation: 11

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!

Upvotes: 1

Arie
Arie

Reputation: 51

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.

Upvotes: 5

Bastiaan
Bastiaan

Reputation: 4682

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.

Upvotes: 2

Dhruv
Dhruv

Reputation: 151

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()

Upvotes: 15

DanT
DanT

Reputation: 4200

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

plt.interactive(False)

Upvotes: 38

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