话不多说，看图看代码，就是最大的享受。
源码1：

# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt

num_list = [2.5, 0.6, 3.8, 6.6,1.2,9.5,4.2]

# plt.bar( range( len( num_list ) ), num_list, fc='r' )
#设定颜色全红，太简单了，省略
name_list = ['Monday','Tuesday','Wednesday','Thursday','Friday','Saturday','Sunday']
plt.bar(range(len(num_list)), num_list,color='rgbybgr',tick_label=name_list)
#设置真彩rgb任意颜色以及标签name_list列表
plt.show()

堆叠一把：

# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
# import warnings
# warnings.simplefilter("error")


num_list1 = [2.5, 0.6, 3.8, 6.6,1.2,9.5,4.2]
num_list2 = [ 6.6,1.2,9.5,4.2,2.5, 0.6, 3.8]


# plt.bar( range( len( num_list1 ) ), num_list1, fc='r' )#设定颜色全红

name_list = ['Monday','Tuesday','Wednesday','Thursday','Friday','Saturday','Sunday']

plt.bar(range(len(num_list1)), num_list1,color='rgbybgr',label='girl',tick_label=name_list)

plt.bar(range(len(num_list2)), num_list2,color='ybgbyrg',label='boy',tick_label=name_list)

#设置真彩rgb任意颜色以及标签name_list列表

plt.legend()
plt.show()

效果如图：
可能会报错，MatplotlibDeprecationWarning: Using a string of single character colors as a color sequence is deprecated since 3.2 and will be removed two minor releases later. Use an explicit list instead.

  plt.bar(range(len(num_list1)), num_list1,color='rgbybgr',label='girl',tick_label=name_list)

修改一下:
代码如下：

```csharp
# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt

num_list1 = [2.5, 0.6, 3.8, 6.6,1.2,9.5,4.2]
num_list2 = [ 6.6,1.2,9.5,4.2,2.5, 0.6, 3.8]
name_list = ['Monday','Tuesday','Wednesday','Thursday','Friday','Saturday','Sunday']
num_list2,color='ybgbyrg',label='boy',tick_label=name_list)

plt.bar(range(len(num_list1)), num_list1,label='girl',fc='r')

plt.bar(range(len(num_list1)), num_list2,fc='b',label='boy',tick_label=name_list)
plt.legend()
plt.show()

![在这里插入图片描述](https://img-blog.csdnimg.cn/20210416103223942.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2RvbmdiYW81MjA=,size_16,color_FFFFFF,t_70)
还是有点小bug，不晓得哪里不对劲。。我的意思是除了覆盖掉的。换种思路来看，冰山堆叠。

```csharp
# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt


num_list1 = [2.5, 0.6, 3.8, 6.6,1.2,9.5,4.2]
num_list2 = [-6.6,-1.2,-3.5,-4.2,-2.5, -3.6, -10]


name_list = ['Monday','Tuesday','Wednesday','Thursday','Friday','Saturday','Sunday']

plt.bar(range(len(num_list1)), num_list1,color='r',label='girl',tick_label=name_list)

plt.bar(range(len(num_list2)), num_list2,color='y',label='boy',tick_label=name_list)

plt.legend()

plt.show()

上下倒影式。

转置图形，换位之后：

条状图

# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt

num_list1 = [2.5, 0.6, 3.8, 6.6,1.2,9.5,4.2]
num_list2 = [ 6.6,1.2,9.5,4.2,2.5, 0.6, 3.8]
name_list = ['Monday','Tuesday','Wednesday','Thursday','Friday','Saturday','Sunday']
num_list2,color='ybgbyrg',label='boy',tick_label=name_list)

plt.barh(range(len(num_list1)), num_list1,label='girl',fc='r')

plt.barh(range(len(num_list1)), num_list2,fc='b',label='boy',tick_label=name_list)
plt.legend()
plt.show()

并列转换柱状图：

# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt

num_list = [2.5, 0.6, 3.8, 6.6,1.2,9.5,4.2]
num_list2 = [ 6.6,1.2,9.5,4.2,2.5, 0.6, 3.8]

name_list = ['Monday','Tuesday','Wednesday','Thursday','Friday','Saturday','Sunday']

num_list2,color='ybgbyrg',label='boy',tick_label=name_list)

x = list( range( len( num_list ) ) )
total_width, n = 0.8, 2
width = total_width / n

plt.bar( x, num_list, width=width, label='boy', fc='b' )
for i in range( len( x ) ):
    x[i] = x[i] + width
plt.bar( x, num_list2, width=width, label='girl', tick_label=name_list, fc='r' )
plt.legend()
plt.show()

plt.legend()
plt.show()

效果如图

进化一波：

# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt

num_list = [2.5, 0.6, 3.8, 6.6,1.2,9.5,4.2]
num_list2 = [ 6.6,1.2,9.5,4.2,2.5, 0.6, 3.8]

name_list = ['Monday','Tuesday','Wednesday','Thursday','Friday','Saturday','Sunday']

num_list2,color='ybgbyrg',label='boy',tick_label=name_list)

x = list( range( len( num_list ) ) )
total_width, n = 0.8, 2
width = total_width / n

plt.bar( x, num_list, width=width, label='boy', fc='b'，hatch='/'  )
for i in range( len( x ) ):
    x[i] = x[i] + width
plt.bar( x, num_list2, width=width, label='girl', tick_label=name_list, fc='r'，hatch='/'  )
plt.legend()
plt.show()