Matplotlib.axes.axes.format_coord()

Matplotlib是Python中的一个库，它是NumPy库的数值-数学扩展。Axes包含了大多数图形元素:Axis、Tick、Line2D、Text、Polygon等，并设置坐标系。Axes的实例通过callbacks属性支持回调。

Matplotlib.axes.axes.format_coord()函数

matplotlib库的Axes模块中的Axes.format_coord()函数用于返回格式化x, y坐标的格式化字符串。

语法:Axes.format_coord(self, x, y)

返回值:该方法返回格式化x, y坐标的格式字符串。

下面的例子演示了matplotlib.axes.axes.format_coord()函数在matplotlib.axes中的作用:

示例1

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.pyplot as plt
import numpy as np
     
# make an agg figure
fig, ax = plt.subplots()
ax.plot([1, 2, 3, 7], [1, 5, 6, 9])
  
def format_coord(x = 7, y = 9):
    col = int(x + 0.5)
    row = int(y + 0.5)
    if col >= 0 and col < 5 and row >= 0 and row < 5:
        z = row + col
        return 'x =% 1.4f, y =% 1.4f, z =% 1.4f' % (x, y, z)
    else:
        return 'x =% 1.4f, y =% 1.4f' % (x, y)
  
ax.format_coord = format_coord
  
fig.suptitle('matplotlib.axes.Axes.format_coord()\
 function Example', fontweight ="bold")
plt.show()

输出:

示例2

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
  
# Fixing random state for reproducibility
np.random.seed(19680801)
  
  
X = np.random.rand(15, 30)
  
fig, ax = plt.subplots()
ax.imshow(X)
  
val1, val2 = X.shape
  
  
def format_coord(x, y):
    col = int(x + 2)
    row = int(y - 2)
    if col >= 0 and col < val2 and row >= 0 and row < val1:
        z = X[row, col]
        return 'x =% 2.0f, y =% 2.0f, z =% 2.0f' % (x, y, z)
    else:
        return 'x =% 2.0f, y =% 2.0f' % (x, y)
  
ax.format_coord = format_coord
  
fig.suptitle('matplotlib.axes.Axes.format_coord() \
function Example', fontweight ="bold")
plt.show()

输出: