I am new to the world of mac. In python we I want to visualize a data, I use matplotlib's pyplot to generate a plot but when I do pyplot.show() it creates a new window. This behavior also happens inside my ipython notebook too - see image below. I wanted it to embed the image inside the notebook.
How can I correct this ?
Try ipython notebook --pylab inline when you launch ipython.
Input in a cell, the cell magic %pylab inline or %matplotlib inline will make the plots appear inline/interactive (instead of a new window).
Not that if you use %matplotlib cell magic, you still need import matplotlib.pyplot as plt and import numpy as np etc. With %pylab cell magic you don't.
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
When I try to set the DPI for Matplotlib plots in Jupyter, it appears to be reset in every cell:
The code:
# In[1]:
get_ipython().run_line_magic('matplotlib', 'inline')
from matplotlib import pyplot
print(pyplot.rcParams['figure.dpi'])
pyplot.rcParams['figure.dpi'] = 150
print(pyplot.rcParams['figure.dpi'])
# In[2]:
print(pyplot.rcParams['figure.dpi'])
How do I set a consistent DPI for plots throughout the entire notebook?
This is using Jupyter 1.0.0, Matplotlib 3.0.1, Python 3.6 on Windows 10.
That's a bug[*] in IPython. To work around that use the first cell of your notebook to set the backend. Manipulate the rcParams in subsequent cells.
[*] See:
ipython/ipython#11098
matplotlib/matplotlib#11693
matplotlib/matplotlib#11393
matplotlib/matplotlib#11815
jupyter/notebook#3385
Let me quote here a comment by #takluyver:
There's a bit of setup that happens just after the cell where %matplotlib inline is called, I think. So if you set things in that cell, they can be overridden by IPython's setup. After that, things you change should (I hope) be kept between cells.
Hi I am using jupyter notebook and every time I plot I am getting all the matplolib inline executions as per below. The graph appears at the bottom. But I would like to get only the graph as I would like to use it for presenting.
I tried the below
%matplotlib inline
from IPython.core.interactiveshell import InteractiveShell
InteractiveShell.ast_node_interactivity = "all"
but it doesn't work always
Are you working on python 3?
If yes add
%matplotlib notebook
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))
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()