我也遇到了同样的问题,但是,所提出的解决方案对我来说不起作用。
我正在绘制一组数据,主图具有以下模式:
这是一个坐标轴极限在X和Y中都从(-1,1)变化的绘图,用这段代码设置了一个边距:
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])
问题是“因为我有更“复杂”的情节,在其中我做了一些改变。这是产生它的代码:
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()
这将生成以下图像:
可以看到,轴的极限没有保持,我还没有找到原因。
任何帮助都将不胜感激。
提前谢谢。
最佳答案
我能解决把这段代码放进去的问题
plt.xlim(-1, 1)
plt.ylim(-1, 1)
在调用
scatter()
之后。关于python - 散点图的轴限制 - Matplotlib,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/24976239/