I am using PyCharm as the IDE for python, and when you make a plot (with the same code like pyplot.plot(...), pyplot.show()) pycharm displays it within its IDE. However, this looks like a static image. When you zoom in, the plot starts to blur.
In other IDE, pyplot creates an interactive plot. When you zoom in, it basically re-plots the curve. And you can also drag the plot. Is there anyway in PyCharm I can have the interactive plot from pyplot?
Just need to change your plotting backend.
If you're on macOS:
import matplotlib as mpl
import matplotlib.pyplot as plt
mpl.use('macosx')
plt.plot(range(10))
should produce a new window that looks like this:
Or if you prefer a different backend or are on Windows (as #MichaelA said)
import matplotlib as mpl
import matplotlib.pyplot as plt
mpl.use('Qt5Agg') # or can use 'TkAgg', whatever you have/prefer
plt.plot(range(10))
Related
I am using python to plot in VS code Jupiter on my Mac. The plot is shown in the Interactive View, while I cannot do more thing like zoom or save in the view. I refer to Python Interactive window（see Plot Viewer)and it says:
Within the Python Interactive window, double-click any plot to open it in the viewer, or select the expand button on the upper left corner of the plot.
Expand Button
Plot Viewer
The expand button is supposed to be shown and open the Plot Viewer, while I don't have the button and there is nothing happen after I double-click the plot.
No Button Shows
My test code:
import seaborn as sns
import numpy as np
x = np.random.randn(100)
ax = sns.distplot(x)
Could you please help with my issue? I wonder whether I miss any extension. Thank you very much!
If still does not work please check the version of the Python and Jupyter extensions.
Default the renderer used in Interactive Python windows uses the PNG renderer.
You can change it to use the TkAgg renderer (external window)
Add %matplotlib to the script
%matplotlib
import seaborn as sns
import numpy as np
x = np.random.randn(100)
ax = sns.distplot(x)
You can use other plot renderers
I am trying to plot multiple bars on the same plot on my jupyter notebook. However, due to some reason, it does not work on the notebook,but it works on a normal python editor. Here is the code that I have used.
import matplotlib.pyplot as plt
plt.bar(['A','B','C'],[72,73,88])
plt.bar(['A','B','C'],[98,77,98])
plt.show()
Any help will be highly appreciated.
(Edit)
I am looking for somthing like this on my jupyter notebook.
I presume you want to have both bar plots side by side. So here you go:
import matplotlib.pyplot as plt
fig,axs = plt.subplots(1,2)
axs[0].bar(['A','B','C'],[72,73,88])
axs[1].bar(['A','B','C'],[98,77,98])
plt.show()
This is not in a jupyter notebook so this is not a duplicate of this question, but my code is:
from gluoncv import model_zoo, data, utils
from matplotlib import pyplot as plt
...
plt.show()
The error I'm getting is:
/figure.py:445: UserWarning: Matplotlib is currently using ps, which is a non-GUI backend, so cannot show the figure.
% get_backend())
I created a repl at https://repl.it/#shamoons/WelloffHarmfulMineral
If it matters, I'm using OS X. What do I need to do to get the image to show?
You can use
matplotlib.use("TkAgg")
instead of
matplotlib.use("PS")
when developing on MacOS.
Please note that the import should be before importing plt, like this:
import matplotlib
matplotlib.use('TkAgg')
from matplotlib import pyplot as plt
matplotlib.use('PS') and plt.show() are mutually exclusive. You need to decide:
Do you want to show the figure on screen? Solution: Remove the line matplotlib.use('PS').
Do you want to use the PS backend? This seems unlikely, because there is rarely a reason to set the backend to something non-interactive unless working on a server. Anyways, solution: Replace plt.show() by plt.savefig("filname.ps").
I have a problem with ploting in Python
import matplotlib.pyplot as plt
import numpy as np
plt.plot(np.arange(10),np.arange(10))
plt.show(0)
#another computation
I am using Spyder editor with graphic backend set to automatic. I want to make plot in new window. The problem is the plot appear after the end of the script. How to make it appear immediately?
How can I display an image imported with numpy package using matplotlib in ipython?
It should be fairly easy with the command
import numpy as np
import matplotlib.pyplot as plt
im = np.array(Image.open('image.jpg'))
plt.imshow(im)
But the image does not show and I just get the output
<matplotlib.image.AxesImage at 0x7fb38e10ff10>
You must call plt.show() to actually bring up the windows.
You can get around this by using interactive mode. But for scripts it is better to simply call show() after completing all your plotting commands.
In IPython or Jupyter notebooks, if you want to show images as inline in the notebook and not in a separate window, implement the code shown below.
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
im = np.array(Image.open('image.jpg'))
plt.imshow(im)
plt.show()