I am creating two Python scripts to produce some plots for a technical report. In the first script I am defining functions that produce plots from raw data on my hard-disk. Each function produces one specific kind of plot that I need. The second script is more like a batch file which is supposed to loop around those functions and store the produced plots on my hard-disk.
What I need is a way to return a plot in Python. So basically I want to do this:
fig = some_function_that_returns_a_plot(args)
fig.savefig('plot_name')
But what I do not know is how to make a plot a variable that I can return. Is this possible? Is so, how?
You can define your plotting functions like
import numpy as np
import matplotlib.pyplot as plt
# an example graph type
def fig_barh(ylabels, xvalues, title=''):
# create a new figure
fig = plt.figure()
# plot to it
yvalues = 0.1 + np.arange(len(ylabels))
plt.barh(yvalues, xvalues, figure=fig)
yvalues += 0.4
plt.yticks(yvalues, ylabels, figure=fig)
if title:
plt.title(title, figure=fig)
# return it
return fig
then use them like
from matplotlib.backends.backend_pdf import PdfPages
def write_pdf(fname, figures):
doc = PdfPages(fname)
for fig in figures:
fig.savefig(doc, format='pdf')
doc.close()
def main():
a = fig_barh(['a','b','c'], [1, 2, 3], 'Test #1')
b = fig_barh(['x','y','z'], [5, 3, 1], 'Test #2')
write_pdf('test.pdf', [a, b])
if __name__=="__main__":
main()
If you don't want the picture to be displayed and only get a variable in return, then you can try the following (with some additional stuff to remove axis):
def myplot(t,x):
fig = Figure(figsize=(2,1), dpi=80)
canvas = FigureCanvasAgg(fig)
ax = fig.add_subplot()
ax.fill_between(t,x)
ax.autoscale(tight=True)
ax.axis('off')
canvas.draw()
buf = canvas.buffer_rgba()
X = np.asarray(buf)
return X
The returned variable X can be used with OpenCV for example and do a
cv2.imshow('',X)
These import must be included:
from matplotlib.figure import Figure
from matplotlib.backends.backend_agg import FigureCanvasAgg
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