[英]How to zoomed a portion of image and insert in the same plot in matplotlib
[英]Return a portion of a plot using matplotlib
我正在使用SpanSelector,但尝试返回由spanSelector修改的图的一部分。
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import SpanSelector
fig = plt.figure(figsize=(8,6))
ax = fig.add_subplot(211, axisbg='#FFFFCC')
x = np.arange(0.0, 5.0, 0.01)
y = np.sin(2*np.pi*x) + 0.5*np.random.randn(len(x))
ax.plot(x, y, '-')
ax.set_ylim(-2,2)
ax.set_title('Press left mouse button and drag to test')
ax2 = fig.add_subplot(212, axisbg='#FFFFCC')
line2, = ax2.plot(x, y, '-')
def onselect(xmin, xmax):
indmin, indmax = np.searchsorted(x, (xmin, xmax))
indmax = min(len(x)-1, indmax)
thisx = x[indmin:indmax]
thisy = y[indmin:indmax]
print thisy
line2.set_data(thisx, thisy)
ax2.set_xlim(thisx[0], thisx[-1])
ax2.set_ylim(thisy.min(), thisy.max())
fig.canvas.draw()
# set useblit True on gtkagg for enhanced performance
span = SpanSelector(ax, onselect, 'horizontal', useblit=True,
rectprops=dict(alpha=0.5, facecolor='red') )
plt.show()
现在,我只能打印当前选择的部分代码,但是我想将其返回用作变量,以便稍后在我的代码中进行统计。 这是否可能,或者我需要在onselect函数内部进行任何统计计算吗?
您可以定义一个新函数:
def calc_stats(xs, ys):
print 'doing the calculations'
并从onselect
内调用它:
def onselect(xmin, xmax):
indmin, indmax = np.searchsorted(x, (xmin, xmax))
indmax = min(len(x)-1, indmax)
thisx = x[indmin:indmax]
thisy = y[indmin:indmax]
calc_stats(thisx, thisy)
line2.set_data(thisx, thisy)
ax2.set_xlim(thisx[0], thisx[-1])
ax2.set_ylim(thisy.min(), thisy.max())
fig.canvas.draw()
或者,您可以将结果存储在全局字典中。
coords = {}
def onselect(xmin, xmax):
indmin, indmax = np.searchsorted(x, (xmin, xmax))
indmax = min(len(x)-1, indmax)
thisx = x[indmin:indmax]
thisy = y[indmin:indmax]
coords['x'] = thisx
coords['y'] = thisy
line2.set_data(thisx, thisy)
ax2.set_xlim(thisx[0], thisx[-1])
ax2.set_ylim(thisy.min(), thisy.max())
fig.canvas.draw()
# set useblit True on gtkagg for enhanced performance
span = SpanSelector(ax, onselect, 'horizontal', useblit=True,
rectprops=dict(alpha=0.5, facecolor='red') )
plt.show()
print 'working with x an y'
print coords['x'][:10]
print coords['y'][:10]
修改全局dict并不是很好的样式。 这样做相同,但是使用一个类:
class Onselect():
def __init__(self):
self.coords = {}
def __call__(self, xmin, xmax):
indmin, indmax = np.searchsorted(x, (xmin, xmax))
indmax = min(len(x)-1, indmax)
thisx = x[indmin:indmax]
thisy = y[indmin:indmax]
self.coords['x'] = thisx
self.coords['y'] = thisy
line2.set_data(thisx, thisy)
ax2.set_xlim(thisx[0], thisx[-1])
ax2.set_ylim(thisy.min(), thisy.max())
fig.canvas.draw()
onselect = Onselect()
# set useblit True on gtkagg for enhanced performance
span = SpanSelector(ax, onselect, 'horizontal', useblit=True,
rectprops=dict(alpha=0.5, facecolor='red') )
plt.show()
print 'working with x an y'
print onselect.coords['x'][:10]
print onselect.coords['y'][:10]
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.