Question

我正在策划两艘游艇。第二个轴心是ax2。问题是,通过<条码>标准对二轴的颜色不再奏效。相反,我必须逐个贴上“条码>。相关法典:

fig = plt.figure()
fill_between(data[:,0], 0, (data[:,2]), color= yellow )
yticks(arange(0.2,1.2,0.2), [ .2 ,  .4 ,  .6 ,  .8 ,   1 ], color= yellow )
ax2 = twinx()
ax2.plot(data[:,0], (data[:,1]),  green )
yticks(arange(0.1,0.6,0.1), [ .1  ,  .2 ,  .3 ,  .4 ,  .5 ], color= green )
# color= green  has no effect here ?!
# instead this is needed:
for t in ax2.yaxis.get_ticklabels(): t.set_color( green )
show()

Resulting in:

“colored_etslabels”/

只有当我确定标准指示时,这个问题才会发生。

yticks(arange(0.1,0.6,0.1), [ .1  ,  .2 ,  .3 ,  .4 ,  .5 ], color= green )

Omit it, like here

yticks(arange(0.1,0.6,0.1), color= green )

彩色作品罚款。

Is that a bug (could not find any reports to this), a feature (?!) or am I missing something here? I am using python 2.6.5 with matplotlib 0.99.1.1 on ubuntu.

Answer 1

不管其价值如何,你甚至在没有<<<><>>>>条码>的情况下,就在我的系统中打上了记号。作为参考,这里有一个独立的例子,试图基本上遵循你所表述的内容:

import matplotlib.pyplot as plt
import numpy as np

# Generate some data
num = 200
x = np.linspace(501, 1200, num)
yellow_data, green_data = np.random.random((2,num))
green_data -= np.linspace(0, 3, yellow_data.size)

# Plot the yellow data
plt.fill_between(x, yellow_data, 0, color= yellow )
plt.yticks([0.0, 0.5, 1.0], color= yellow )

# Plot the green data
ax2 = plt.twinx()
ax2.plot(x, green_data,  g- )
plt.yticks([-4, -3, -2, -1, 0, 1], color= green )

plt.show()

“entergraph

我的猜测是,你的问题主要来自对不同物体的混淆。我猜测,你的代码比较复杂,当你打电话<编码>plt.yrites时,ax2不是目前的轴心。您可在打电话<条码>(<>yps>>之前,明确打上<>sca(ax2)(目前轴向ax2),并看到这一改动。

Generally speaking, it s best to stick to either entirely the matlab-ish state machine interface or the OO interface, and don t mix them too much. (Personally, I prefer just sticking to the OO interface. Use pyplot to set up figure objects and for show, and use the axes methods otherwise. To each his own, though.)

At any rate, with matplotlib >= 1.0, the tick_params function makes this a bit more convenient. (I m also using plt.subplots here, which is only in >= 1.0, as well.)

import matplotlib.pyplot as plt
import numpy as np

# Generate some data
yellow_data, green_data = np.random.random((2,2000))
yellow_data += np.linspace(0, 3, yellow_data.size)
green_data -= np.linspace(0, 3, yellow_data.size)

# Plot the data
fig, ax1 = plt.subplots()
ax2 = ax1.twinx()

ax1.plot(yellow_data,  y- )
ax2.plot(green_data,  g- )

# Change the axis colors...
ax1.tick_params(axis= y , labelcolor= yellow )
ax2.tick_params(axis= y , labelcolor= green )

plt.show()

“entergraph

The equivalent code for older versions of matplotlib would look more like this:

import matplotlib.pyplot as plt
import numpy as np

# Generate some data
yellow_data, green_data = np.random.random((2,2000))
yellow_data += np.linspace(0, 3, yellow_data.size)
green_data -= np.linspace(0, 3, yellow_data.size)

# Plot the data
fig = plt.figure()
ax1 = fig.add_subplot(1,1,1)
ax2 = ax1.twinx()

ax1.plot(yellow_data,  y- )
ax2.plot(green_data,  g- )

# Change the axis colors...
for ax, color in zip([ax1, ax2], [ yellow ,  green ]):
    for label in ax.yaxis.get_ticklabels():
        label.set_color(color)

plt.show()

友情链接