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Matplotlib autoscale
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def autoscale(ax=None, axis='y', margin=0.1): | |
'''Autoscales the x or y axis of a given matplotlib ax object | |
to fit the margins set by manually limits of the other axis, | |
with margins in fraction of the width of the plot | |
Defaults to current axes object if not specified. | |
''' | |
import matplotlib.pyplot as plt | |
import numpy as np | |
if ax is None: | |
ax = plt.gca() | |
newlow, newhigh = np.inf, -np.inf | |
for artist in ax.collections + ax.lines: | |
x,y = get_xy(artist) | |
if axis == 'y': | |
setlim = ax.set_ylim | |
lim = ax.get_xlim() | |
fixed, dependent = x, y | |
else: | |
setlim = ax.set_xlim | |
lim = ax.get_ylim() | |
fixed, dependent = y, x | |
low, high = calculate_new_limit(fixed, dependent, lim) | |
newlow = low if low < newlow else newlow | |
newhigh = high if high > newhigh else newhigh | |
margin = margin*(newhigh - newlow) | |
setlim(newlow-margin, newhigh+margin) | |
def calculate_new_limit(fixed, dependent, limit): | |
'''Calculates the min/max of the dependent axis given | |
a fixed axis with limits | |
''' | |
if len(fixed) > 2: | |
mask = (fixed>limit[0]) & (fixed < limit[1]) | |
window = dependent[mask] | |
low, high = window.min(), window.max() | |
else: | |
low = dependent[0] | |
high = dependent[-1] | |
if low == 0.0 and high == 1.0: | |
# This is a axhline in the autoscale direction | |
low = np.inf | |
high = -np.inf | |
return low, high | |
def get_xy(artist): | |
'''Gets the xy coordinates of a given artist | |
''' | |
if "Collection" in str(artist): | |
x, y = artist.get_offsets().T | |
elif "Line" in str(artist): | |
x, y = artist.get_xdata(), artist.get_ydata() | |
else: | |
raise ValueError("This type of object isn't implemented yet") | |
return x, y | |
# To test | |
fig, axes = plt.subplots(ncols = 4, figsize=(12,3)) | |
(ax1, ax2, ax3, ax4) = axes | |
x = np.linspace(0,100,300) | |
noise = np.random.normal(scale=0.1, size=x.shape) | |
y = 2*x + 3 + noise | |
for ax in axes: | |
ax.plot(x, y) | |
ax.scatter(x,y, color='red') | |
ax.axhline(50., ls='--', color='green') | |
for ax in axes[1:]: | |
ax.set_xlim(20,21) | |
ax.set_ylim(40,45) | |
autoscale(ax3, 'y', margin=0.1) | |
autoscale(ax4, 'x', margin=0.1) | |
ax1.set_title('Raw data') | |
ax2.set_title('Specificed limits') | |
ax3.set_title('Autoscale y') | |
ax4.set_title('Autoscale x') | |
plt.tight_layout() | |
fig.savefig('autoscale.png', dpi=400) |
@smjure that's the same problem I've been trying to face.
It looks like there's no immediate solution. The problem is that autoscale will run once, at the beginning, but not every time someone zooms into the plots. You can repeatedly call autoscale whenever you need it, on all of your axes, but I'm sure that's not a desirable solution.
The other option is to add event-based callbacks to the figure. So if you click in the figure window, you run the code. You'd need to use something like this: https://matplotlib.org/3.2.1/api/_as_gen/matplotlib.pyplot.connect.html. For example, https://stackoverflow.com/a/33641336/6828087.
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Thanks for the code, have found it on the Stackoverflow, works great on the sample example. I've tried to expand it to subplots, i.e. when one zooms a subplot with mouse, all other y axes auto-adjust or auto-scale as well, something like this:
But have not managed to make it work, I realized my programming knowledge pretty limited. Have also searched a lot on web, also explored links that point to/from the Stack post. Would appreciate some help here to expand it to all subplots, thank you!