matplotlib.pyplot.locator_params()函数

Matplotlib是用于数据可视化的最流行的Python包之一。它是一个跨平台的库，用于从数组中的数据绘制2D图形。Pyplot是一个命令样式函数的集合，它使matplotlib像MATLAB一样工作。

Locator_params()用于控制tick定位器的行为。属性轴用于指定在哪个轴上应用函数。

# for Y axis
matplotlib.pyplot.locator_params(axis='y', nbins=3) 

# for X axis
matplotlib.pyplot.locator_params(axis='x', nbins=3) 

# for both, x-axis and y-axis: Default
matplotlib.pyplot.locator_params(nbins=3) 

减少刻度的最大数量并使用紧密界限:

plt.locator_params(tight=True, nbins=4)

示例1

# importing libraries
import matplotlib.pyplot as plt
  
# Y-axis Values
y =[-1, 4, 9, 16, 25]
  
# X-axis Values
x =[1, 2, 3, 4, 5]
  
plt.locator_params(axis ='x', nbins = 5)
  
# adding grid to the plot
axes = plt.axes()
axes.grid()
  
# defining the plot
plt.plot(x, y, 'mx', color ='green')
  
# range of y-axis in the plot
plt.ylim(ymin =-1.2, ymax = 30)
  
# Set the margins
plt.margins(0.2)
  
# printing the plot
plt.show()

输出:

示例2

# importing libraries
import matplotlib.pyplot as plt
  
# defining the function
def for_lines(xlab, ylab, plot_title,
              size_x, size_y, content =[]): 
      
  width = len(content[0][1:])
  s = [x for x in range(1, width + 1)] 
  
  # specifying the size of figure
  plt.figure(figsize =(size_x, size_y))
  
  for line in content: 
        plt.plot(s,  line[1:], 'ro--', 
                 color ='green',
                 label = line[0])
          
  # to add title to the plot
  plt.title(plot_title)
      
  # for adding labels to the plot
  plt.xlabel(xlab)
  plt.ylabel(ylab) 
  
  t = len(s) 
  plt.locator_params(nbins = t)
  
for_lines("x-axis", "y-axis",
          "GeeksForGeeks", 7, 7,
          [[1, 2, 4, 3, 5]])

输出:

示例3

# importing libraries
import matplotlib.pyplot as plt
  
plt.locator_params(nbins = 10)
  
# defining the plot
plt.plot([1, 2, 3, 5, 7],
         [2, 3, 9, 15, 16],
         'ro-', color ='red')
  
# printing the plot
plt.show()

输出: