Reputation: 2825
In MATLAB, there is a very convenient option to copy the current figure to the clipboard. Although Python/numpy/scipy/matplotlib is a great alternative to MATLAB, such an option is unfortunately missing.
Can this option easily be added to Matplotlib figures? Preferably, all MPL figures should automatically benefit from this functionality.
I'm using MPL's Qt4Agg backend, with PySide.
Upvotes: 19
Views: 21103
Reputation: 2878
In my workflow, I often create CLI applications that both plot figures and if instructed via a --save
argument, also save the plot to a file. While seeking the option to copy these figures straight to the clipboard, without going through the file system, I found the following code flow useful:
import sys
import argparse
parser = argparse.ArgumentParser(...)
parser.add_argument("--save", ...)
args = parser.parse_args()
if args.save = ["-"]:
# See https://matplotlib.org/stable/gallery/misc/print_stdout_sgskip.html
args.save = [ sys.stdout.buffer ]
# plot stuff...
if args.save:
plt.savefig(args.save[0])
Then, from the command line, you can simply pipe this to a clipboard command like this:
./plotter.py --save - | wl-copy --type image/png
Or if you are still on Xorg, use:
./plotter.py --save - | xclip -selection clipboard -target image/png -i
Upvotes: 0
Reputation: 373
The last comment is very useful.
Install the package with
pip install addcopyfighandler
Import the module after importing matplotlib, for instance:
import matplotlib.pyplot as plt
import addcopyfighandler
Use ctr + C
to copy the Figure to the clipboard
And enjoy.
Upvotes: 2
Reputation: 121
I enabled ctrl-c
to copy figures to the clipboard by adding toolbar: toolmanager
to my matplotlibrc
.
import matplotlib
print(matplotlib.matplotlib_fname())
in the python interpreter.
Then paste
toolbar: toolmanager
into the file using your favorite editor.
Alternatively, the following bash one-liner will do the trick:
echo "toolbar: toolmanager" >> $(python -c "import matplotlib;print(matplotlib.matplotlib_fname())")
Note that this needs to be done for each python interpreter. So if you make a new anaconda environment, you will have to repeat the process.
Upvotes: 3
Reputation: 4629
Building on the solution described in EelkeSpaak's answer, we can write a function to do the work instead of monkey-patching matplotlib's Figure class:
import io
import matplotlib.pyplot as plt
import numpy as np
from PyQt5.QtGui import QImage
from PyQt5.QtWidgets import QApplication
# Example figure.
fig, ax = plt.subplots()
X = np.linspace(0, 2*np.pi)
Y = np.sin(X)
ax.plot(X, Y)
def add_figure_to_clipboard(event):
if event.key == "ctrl+c":
with io.BytesIO() as buffer:
fig.savefig(buffer)
QApplication.clipboard().setImage(QImage.fromData(buffer.getvalue()))
fig.canvas.mpl_connect('key_press_event', add_figure_to_clipboard)
Please note that this variant uses Qt5.
Upvotes: 3
Reputation: 1008
EelkeSpaak's solution was packed in a nice module: addcopyfighandler
Simply install by pip install addcopyfighandler
, and import the module after importing matplotlib or pyplot.
Upvotes: 8
Reputation: 2825
Yes, it can. The idea is to replace the default plt.figure
with a custom one (a technique known as monkey patching) that injects a keyboard handler for copying to the clipboard. The following code will allow you to copy any MPL figure to the clipboard by pressing Ctrl+C:
import io
import matplotlib.pyplot as plt
from PySide.QtGui import QApplication, QImage
def add_clipboard_to_figures():
# use monkey-patching to replace the original plt.figure() function with
# our own, which supports clipboard-copying
oldfig = plt.figure
def newfig(*args, **kwargs):
fig = oldfig(*args, **kwargs)
def clipboard_handler(event):
if event.key == 'ctrl+c':
# store the image in a buffer using savefig(), this has the
# advantage of applying all the default savefig parameters
# such as background color; those would be ignored if you simply
# grab the canvas using Qt
buf = io.BytesIO()
fig.savefig(buf)
QApplication.clipboard().setImage(QImage.fromData(buf.getvalue()))
buf.close()
fig.canvas.mpl_connect('key_press_event', clipboard_handler)
return fig
plt.figure = newfig
add_clipboard_to_figures()
Note that if you want to use from matplotlib.pyplot import *
(e.g. in an interactive session), you need to do so after you've executed the above code, otherwise the figure
you import into the default namespace will be the unpatched version.
Upvotes: 15