Reputation: 6846
I'm using matplotlib to plot some data that I wish to annotate with arrows (distance markers). These arrows should be offset by several points so as not to overlap with the plotted data:
import matplotlib.pyplot as plt
import matplotlib.transforms as transforms
fig, ax = plt.subplots()
x = [0, 1]
y = [0, 0]
# Plot horizontal line
ax.plot(x, y)
dy = 5/72
offset = transforms.ScaledTranslation(0, dy, ax.get_figure().dpi_scale_trans)
verttrans = ax.transData+offset
# Plot horizontal line 5 points above (works!)
ax.plot(x, y, transform = verttrans)
# Draw arrow 5 points above line (doesn't work--not vertically translated)
ax.annotate("", (0,0), (1,0),
size = 10,
transform=verttrans,
arrowprops = dict(arrowstyle = '<|-|>'))
plt.show()
Is there any way to make lines drawn by ax.annotate()
be offset by X points? I wish to use absolute coordinates (e.g., points or inches) instead of data coordinates because the axis limits are prone to changing.
Thanks!
Upvotes: 4
Views: 4251
Reputation: 6846
The following code does what I desired. It uses ax.transData and figure.get_dpi():
import matplotlib.pyplot as plt
import matplotlib.transforms as transforms
fig, ax = plt.subplots()
x = [0, 1]
y = [0, 0]
ax.plot(x, y)
dy = 5/72
i = 1 # 0 for dx
tmp = ax.transData.transform([(0,0), (1,1)])
tmp = tmp[1,i] - tmp[0,i] # 1 unit in display coords
tmp = 1/tmp # 1 pixel in display coords
tmp = tmp*dy*ax.get_figure().get_dpi() # shift pixels in display coords
ax.plot(x, y)
ax.annotate("", [0,tmp], [1,tmp],
size = 10,
arrowprops = dict(arrowstyle = '<|-|>'))
plt.show()
Upvotes: 3
Reputation: 1539
What's your expected output? If you're just looking to move the arrow you're drawing vertically, the API for annotate
is
annotate(s, xy, xytext=None, ...)
so you can draw something like
ax.annotate("", (0,0.01), (1,0.01),
size = 10,
arrowprops = dict(arrowstyle = '<|-|>'))
which is moved up by 0.01
in data coordinates in the y direction. You can also specify coordinates as a fraction of the total figure size in annotate
(see doc). Is that what you wanted?
Upvotes: 2