I would like to add a scalebar to a plot and use the following code:
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.offsetbox import AnchoredOffsetbox
class AnchoredScaleBar(AnchoredOffsetbox):
def __init__(self, transform, sizex=1, sizey=3, labelx='', labely='', loc=3,
pad=0.1, borderpad=0.1, sep=1, prop=None, barcolor="black", barwidth=None,
**kwargs):
"""
Draw a horizontal and/or vertical bar with the size in data coordinate
of the give axes. A label will be drawn underneath (center-aligned).
- transform : the coordinate frame (typically axes.transData)
- sizex,sizey : width of x,y bar, in data units. 0 to omit
- labelx,labely : labels for x,y bars; None to omit
- loc : position in containing axes
- pad, borderpad : padding, in fraction of the legend font size (or prop)
- sep : separation between labels and bars in points.
- **kwargs : additional arguments passed to base class constructor
"""
from matplotlib.patches import Rectangle
from matplotlib.offsetbox import AuxTransformBox, VPacker, HPacker, TextArea,
DrawingArea
bars = AuxTransformBox(transform)
if sizex:
bars.add_artist(Rectangle((0,0), sizex, 0, ec=barcolor, lw=barwidth, fc="none"))
if sizey:
bars.add_artist(Rectangle((0,0), 0, sizey, ec=barcolor, lw=barwidth, fc="none"))
if sizex and labelx:
self.xlabel = TextArea(labelx, minimumdescent=False)
bars = VPacker(children=[bars, self.xlabel], align="center", pad=0, sep=sep)
if sizey and labely:
self.ylabel = TextArea(labely)
bars = HPacker(children=[self.ylabel, bars], align="center", pad=0, sep=sep)
AnchoredOffsetbox.__init__(self, loc, pad=pad, borderpad=borderpad,
child=bars, prop=prop, frameon=False, **kwargs)
def add_scalebar(ax, matchx=False, matchy=False, hidex=False, hidey=False, **kwargs):
""" Add scalebars to axes
Adds a set of scale bars to *ax*, matching the size to the ticks of the plot
and optionally hiding the x and y axes
- ax : the axis to attach ticks to
- matchx,matchy : if True, set size of scale bars to spacing between ticks
if False, size should be set using sizex and sizey params
- hidex,hidey : if True, hide x-axis and y-axis of parent
- **kwargs : additional arguments passed to AnchoredScaleBars
Returns created scalebar object
"""
def f(axis):
l = axis.get_majorticklocs()
return len(l)>1 and (l[1] - l[0])
if matchx:
kwargs['sizex'] = f(ax.xaxis)
kwargs['labelx'] = str(kwargs['sizex'])
if matchy:
kwargs['sizey'] = f(ax.yaxis)
kwargs['labely'] = str(kwargs['sizey'])
sb = AnchoredScaleBar(ax.transData, **kwargs)
ax.add_artist(sb)
if hidex : ax.xaxis.set_visible(False)
if hidey : ax.yaxis.set_visible(False)
if hidex and hidey: ax.set_frame_on(False)
return sb
Example data:
x = np.arange(10)
y = 3*x
#plot data
fig1, ax1 = plt.subplots()
ax1.set_xlabel('x')
ax1.set_ylabel('y')
ax1.plot(x,y)
Add scalebar with sizex=1, sizey=10:
AnchoredScaleBar(ax1.transData, sizex=1,sizey =10)
sb = add_scalebar(ax1, matchx=False, matchy = False)
ax1.add_artist(sb)
A scalebar is now added to the plot but instead of having a size of sizex=1, sizey=10 it adds a scalebar with the default size of sizex=1, sizey=3 as specified in the init function header.
However, the size of the scalebar changes when specifying sizex=1, sizey=10 in the init header.
????Is there a way to call AnchoredScaleBar and pass different sizex and sizey arguments without changing the values in the init header????
CodePudding user response:
You're not using the AnchoredScaleBar that you're initializing at the beginning of your snippet. You should rather do:
sb = add_scalebar(ax1, matchx=False, matchy=False, sizex=1, sizey=10)
ax1.add_artist(sb)
so that sizex and sizey are passed to AnchoredScaleBar through the kwargs
