CODEWITHSUNDEEP
pythonmatplotlib
Garet
Garet

Reputation: 365

Matplotlib rcparams (autolimit_mode) for single figure

I have an issue with the new Matplotlib 2.0.0.

The new autolimit_mode value by default add a padding to the frame. I want to avoid it to a single figure.

If I change rcParams, the changes affect to any generated figures.

Can I change this parameter for a single figure without affect the behavior of the rest?

Update

I update the question with some code and the different results obtained.

import numpy as np
import matplotlib
import matplotlib.pyplot as plt


def remove_frame_border(ax):
    ax.spines['top'].set_visible(False)
    ax.spines['right'].set_visible(False)
    ax.spines['left'].set_visible(False)
    ax.spines['bottom'].set_visible(False)


def draw1(xserie, yserie):
    fig = plt.figure(figsize=(8,3))
    ax = fig.add_subplot(111)

    ax.plot(xserie, yserie)
    ax.grid(True)
    remove_frame_border(ax)

    fig.savefig('out1.png', format='png', bbox_inches='tight', pad_inches=0)


def draw2(xserie, yserie):
    fig = plt.figure(figsize=(8,3))
    ax = fig.add_subplot(111)

    # Fixed autolimit padding in matplotlib 2.0.0
    ax.set_xmargin(0)
    ax.set_ymargin(0)
    ax.autoscale_view()

    ax.plot(xserie, yserie)
    ax.grid(True)
    remove_frame_border(ax)

    # Restore default matplotlib params
    matplotlib.rcParams.update(matplotlib.rcParamsDefault)

    fig.savefig('out2.png', format='png', bbox_inches='tight', pad_inches=0)


def draw3(xserie, yserie):
    # Fixed autolimit padding in matplotlib 2.0.0
    matplotlib.rcParams['axes.autolimit_mode'] = 'round_numbers'
    matplotlib.rcParams['axes.xmargin'] = 0
    matplotlib.rcParams['axes.ymargin'] = 0

    fig = plt.figure(figsize=(8,3))
    ax = fig.add_subplot(111)

    ax.plot(xserie, yserie)
    ax.grid(True)
    remove_frame_border(ax)

    # Restore default matplotlib params
    matplotlib.rcParams.update(matplotlib.rcParamsDefault)

    fig.savefig('out3.png', format='png', bbox_inches='tight', pad_inches=0)



xserie = np.array([1,2,3,4,5,6,7,8,9,10])
yserie = np.array([0, 22.2, 33.4, 55.6, 66.6, 77.7, 100.3, 123.3, 90.4, 93.3])

draw1(xserie, yserie)
draw2(xserie, yserie)
draw3(xserie, yserie)

out1.png out1.png

out2.png out2.png

out3.png out3.png

Upvotes: 2

Views: 1983

Answers (1)

ImportanceOfBeingErnest
ImportanceOfBeingErnest

Reputation: 339290

Matplotlib provides the method matplotlib.axes.Axes.set_xmargin:

Set padding of X data limits prior to autoscaling. m times the data interval will be added to each end of that interval before it is used in autoscaling.

So setting 

ax.set_xmargin(0)

removes the padding.

However it seems for this to have an effect, one also needs to call matplotlib.axes.Axes.autoscale_view 

ax.autoscale_view()

I did not entirely understand the docstring of autoscale_view but the combination here seems to work.

Upvotes: 1

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