matplotlib：更改標題和顏色條文本和刻度顏色

Question

我想知道如何更改顏色條中刻度線的顏色以及如何更改圖形中標題和顏色條的字體顏色。例如，事情顯然是temp.png但不可見的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") 

感謝

Answer 1

這可以通過檢查和matplotlib的對象處理程序設置屬性來完成。

我編輯你的代碼，並把一些解釋的評論：

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

基於以前的答案我添加了兩行設置彩條的框顏色和彩條的刻度顏色：

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

前面的回答沒有給我想要的東西。 這是我做的：

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)