matplotlib：更改标题和颜色条文本和刻度颜色

Question

我想知道如何更改颜色条中刻度线的颜色以及如何更改图形中标题和颜色条的字体颜色。例如，事情显然是temp.png但不可见的temp2.​​png：

import matplotlib.pyplot as plt 
import numpy as np 
from numpy.random import randn 

fig = plt.figure() 
data = np.clip(randn(250,250),-1,1) 
cax = plt.imshow(data, interpolation='nearest') 
plt.title('my random fig') 
plt.colorbar() 

# works fine 
plt.savefig('temp.png') 
# title and colorbar ticks and text hidden 
plt.savefig('temp2.png', facecolor="black", edgecolor="none") 

感谢

Answer 1

这可以通过检查和matplotlib的对象处理程序设置属性来完成。

我编辑你的代码，并把一些解释的评论：

import matplotlib.pyplot as plt 
import numpy as np 
from numpy.random import randn 

fig = plt.figure() 
data = np.clip(randn(250,250),-1,1) 
cax = plt.imshow(data, interpolation='nearest') 

title_obj = plt.title('my random fig') #get the title property handler 
plt.getp(title_obj)     #print out the properties of title 
plt.getp(title_obj, 'text')   #print out the 'text' property for title 
plt.setp(title_obj, color='r')   #set the color of title to red 

axes_obj = plt.getp(cax,'axes')     #get the axes' property handler 
ytl_obj = plt.getp(axes_obj, 'yticklabels')  #get the properties for 
               # yticklabels 
plt.getp(ytl_obj)        #print out a list of properties 
               # for yticklabels 
plt.setp(ytl_obj, color="r")     #set the color of yticks to red 

plt.setp(plt.getp(axes_obj, 'xticklabels'), color='r') #xticklabels: same 

color_bar = plt.colorbar()       #this one is a little bit 
cbytick_obj = plt.getp(color_bar.ax.axes, 'yticklabels')    #tricky 
plt.setp(cbytick_obj, color='r') 

plt.savefig('temp.png') 
plt.savefig('temp2.png', facecolor="black", edgecolor="none") 

Answer 2

基于以前的答案我添加了两行设置彩条的框颜色和彩条的刻度颜色：

import matplotlib.pyplot as plt 
import numpy as np 
from numpy.random import randn 

fig = plt.figure() 
data = np.clip(randn(250,250),-1,1) 
cax = plt.imshow(data, interpolation='nearest') 

title_obj = plt.title('my random fig') #get the title property handler 
plt.setp(title_obj, color='w')   #set the color of title to white 

axes_obj = plt.getp(cax,'axes')      #get the axes' property handler 
plt.setp(plt.getp(axes_obj, 'yticklabels'), color='w') #set yticklabels color 
plt.setp(plt.getp(axes_obj, 'xticklabels'), color='w') #set xticklabels color 

color_bar = plt.colorbar()        
plt.setp(plt.getp(color_bar.ax.axes, 'yticklabels'), color='w') # set colorbar 
                   # yticklabels color 
##### two new lines #### 
color_bar.outline.set_color('w')     #set colorbar box color 
color_bar.ax.yaxis.set_tick_params(color='w')  #set colorbar ticks color 
##### two new lines #### 

plt.setp(cbytick_obj, color='r') 
plt.savefig('temp.png') 
plt.savefig('temp3.png', facecolor="black", edgecolor="none") 

Answer 3

前面的回答没有给我想要的东西。 这是我做的：

import matplotlib.pyplot as plt 
import numpy as np 
from numpy.random import randn 
data = np.clip(randn(250,250),-1,1) 
data = np.ma.masked_where(data > 0.5, data) 


fig, ax1 = plt.subplots(1,1) 

im = ax1.imshow(data, interpolation='nearest') 
cb = plt.colorbar(im) 

fg_color = 'white' 
bg_color = 'black' 

# IMSHOW  
# set title plus title color 
ax1.set_title('ax1 title', color=fg_color) 

# set figure facecolor 
ax1.patch.set_facecolor(bg_color) 

# set tick and ticklabel color 
im.axes.tick_params(color=fg_color, labelcolor=fg_color) 

# set imshow outline 
for spine in im.axes.spines.values(): 
    spine.set_edgecolor(fg_color)  

# COLORBAR 
# set colorbar label plus label color 
cb.set_label('colorbar label', color=fg_color) 

# set colorbar tick color 
cb.ax.yaxis.set_tick_params(color=fg_color) 

# set colorbar edgecolor 
cb.outline.set_edgecolor(fg_color) 

# set colorbar ticklabels 
plt.setp(plt.getp(cb.ax.axes, 'yticklabels'), color=fg_color) 

fig.patch.set_facecolor(bg_color)  
plt.tight_layout() 
plt.show() 
#plt.savefig('save/to/pic.png', dpi=200, facecolor=bg_color)