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I'm having the same problem presented here, however, the proposed solution didn't work for me.

I'm plotting a set of data which the main plot have this pattern:

enter image description here

Which is a plot which axis limits varies from (-1, 1) in both x and y, with a margin set with this piece of code:

plt.figure() plt.show(data) ## Add some margin l, r, b, t = plt.axis() dx, dy = r-l, t-b plt.axis([l-0.1*dx, r+0.1*dx, b-0.1*dy, t+0.1*dy])

The problem is 'cause I have more "complex" plot in which some changes had to me made. This is the code that produces it:

def plot_quiver_singularities(min_points, max_points, vector_field_x, vector_field_y, file_path): """ Plot the singularities of vector field :param file_path : the path to save the data :param vector_field_x : the vector field x component to be plot :param vector_field_y : the vector field y component to be plot :param min_points : a set (x, y) of min points field :param max_points : a set (x, y) of max points field """ fig = plt.figure(figsize=(8, 8)) ax = fig.add_axes([.13, .3, .6, .6]) ## Plot quiver x, y = numpy.mgrid[-1:1:100*1j, -1:1:100*1j] m = numpy.sqrt(numpy.power(vector_field_x, 2) + numpy.power(vector_field_y, 2)) quiver = ax.quiver(x, y, vector_field_x, vector_field_y, m, zorder=1) ## Plot critical points x = numpy.linspace(-1, 1, x_steps) y = numpy.linspace(-1, 1, y_steps) # Draw the min points x_indices = numpy.nonzero(min_points)[0] y_indices = numpy.nonzero(min_points)[1] ax.scatter(x[x_indices], y[y_indices], marker='$\\circlearrowright$', s=100, zorder=2) # Draw the max points x_indices = numpy.nonzero(max_points)[0] y_indices = numpy.nonzero(max_points)[1] ax.scatter(x[x_indices], y[y_indices], marker='$\\circlearrowleft$', s=100, zorder=2) ## Put legends marker_min = plt.Line2D((0, 0), (0, 0), markeredgecolor=(1.0, 0.4, 0.0), linestyle='', marker='$\\circlearrowright$', markeredgewidth=1, markersize=10) marker_max = plt.Line2D((0, 0), (0, 0), markeredgecolor=(0.2, 0.2, 1.0), linestyle='', marker='$\\circlearrowleft$', markeredgewidth=1, markersize=10) plt.legend([marker_min, marker_max], ['CW rot. center', 'CCW rot. center'], numpoints=1, loc='center left', bbox_to_anchor=(1, 0.5)) quiver_cax = fig.add_axes([.13, .2, .6, .03]) fig.colorbar(quiver, orientation='horizontal', cax=quiver_cax) ## Set axis limits plt.xlim(-1, 1) plt.ylim(-1, 1) ## Add some margin # l, r, b, t = plt.axis() # dx, dy = r-l, t-b # plt.axis([l-0.1*dx, r+0.1*dx, b-0.1*dy, t+0.1*dy]) plt.savefig(file_path + '.png', dpi=dpi) plt.close()

This produces the following image:

enter image description here

As can be seen, the axis limits do not hold and I didn't found why yet.

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  • A little unsure here, does the order play a role? You've put the color bar after the last axis command. Care to try removing it? Commented Jul 27, 2014 at 4:29
  • Yes, I tried to do that. The result is the same. The problem happens when I call the scatter function. Commented Jul 27, 2014 at 15:28
  • turn off autoscaling or just re-set the limits to what you want after calling scatter. Commented Jul 27, 2014 at 20:06
  • Hi, @tcaswell. Re-seting the limits is not what I'm doing with: plt.xlim(-1, 1), plt.ylim(-1, 1)? Thank you. Commented Jul 28, 2014 at 12:07
  • 1
    I didn't actually read your code (because there is too much of it which is not relevant to your question). Don't use plt in functions as it is easy for what you think the current axes is and what pyplot thinks the current axes is to get out of sync. Try using ax.set_xlim and ax.set_ylim. Commented Jul 28, 2014 at 12:52

2 Answers 2

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52

I was able to solve the problem putting this piece of code

plt.xlim(-1, 1) plt.ylim(-1, 1)

Right after calling scatter().

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13

You can also set those to the ax object:

ax.set_xlim((-1,1)) ax.set_ylim((-1,1))
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