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plot.py
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76 lines (61 loc) · 2.41 KB
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from pylab import *
# http://stackoverflow.com/questions/24535848/drawing-log-linear-plot-on-a-square-plot-area-in-matplotlib
def linlogplot(fig):
ax = gca()
ax.set_xscale("log")
# now get the figure size in real coordinates:
fig = gcf()
fwidth = fig.get_figwidth()
fheight = fig.get_figheight()
# get the axis size and position in relative coordinates
# this gives a BBox object
bb = ax.get_position()
# calculate them into real world coordinates
axwidth = fwidth * (bb.x1 - bb.x0)
axheight = fheight * (bb.y1 - bb.y0)
# if the axis is wider than tall, then it has to be narrowe
if axwidth > axheight:
# calculate the narrowing relative to the figure
narrow_by = (axwidth - axheight) / fwidth
# move bounding box edges inwards the same amount to give the correct width
bb.x0 += narrow_by / 2
bb.x1 -= narrow_by / 2
# else if the axis is taller than wide, make it vertically smaller
# works the same as above
elif axheight > axwidth:
shrink_by = (axheight - axwidth) / fheight
bb.y0 += shrink_by / 2
bb.y1 -= shrink_by / 2
ax.set_position(bb)
show()
def loglinplot(fig):
ax = gca()
ax.set_yscale("log")
# now get the figure size in real coordinates:
fig = gcf()
fwidth = fig.get_figwidth()
fheight = fig.get_figheight()
# get the axis size and position in relative coordinates
# this gives a BBox object
bb = ax.get_position()
# calculate them into real world coordinates
axwidth = fwidth * (bb.x1 - bb.x0)
axheight = fheight * (bb.y1 - bb.y0)
# if the axis is wider than tall, then it has to be narrowe
if axwidth > axheight:
# calculate the narrowing relative to the figure
narrow_by = (axwidth - axheight) / fwidth
# move bounding box edges inwards the same amount to give the correct width
bb.x0 += narrow_by / 2
bb.x1 -= narrow_by / 2
# else if the axis is taller than wide, make it vertically smaller
# works the same as above
elif axheight > axwidth:
shrink_by = (axheight - axwidth) / fheight
bb.y0 += shrink_by / 2
bb.y1 -= shrink_by / 2
ax.set_position(bb)
show()
# # plot circle around point
# circ1000 = plt.Circle(x,y,1000, color='blue', fill=False)
# fig.gca().add_artist(circ1000)