matplotlib.pyplot.xticks()函数

matplotlib.pyplot.xticks()函数

matplotlib库的pyplot模块中的annotate()函数用于获取和设置x轴的当前标记位置和标签。

语法:

matplotlib.pyplot.xticks(ticks=None, labels=None, **kwargs)

参数:该方法接受如下参数说明:

ticks:该参数是xtick位置列表。和一个可选参数。如果一个空列表作为参数传递，那么它将删除所有xticks

labels:该参数包含要放置在给定刻度位置的标签。它是一个可选参数。

**kwargs:这个参数是Text属性，用于控制标签的外观。

返回如下内容:

locs:返回ytick位置列表。

返回ylabel Text对象的列表。

结果是(locs, labels)

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

示例1

# Implementation of matplotlib.pyplot.xticks()
# function
  
import numpy as np
import matplotlib.pyplot as plt
    
x = [1, 2, 3, 4]
y = [95, 38, 54, 35]
labels = ['Geeks1', 'Geeks2', 'Geeks3', 'Geeks4']
  
plt.plot(x, y)
  
# You can specify a rotation for the tick
# labels in degrees or with keywords.
plt.xticks(x, labels, rotation ='vertical')
  
# Pad margins so that markers don't get 
# clipped by the axes
plt.margins(0.2)
  
# Tweak spacing to prevent clipping of tick-labels
plt.subplots_adjust(bottom = 0.15)
plt.show()

输出:

matplotlib.pyplot.xticks()函数

示例2

# Implementation of matplotlib.pyplot.xticks()
# function
  
import matplotlib.pyplot as plt
  
from mpl_toolkits.axes_grid1.inset_locator import inset_axes, zoomed_inset_axes
  
def get_demo_image():
    from matplotlib.cbook import get_sample_data
    import numpy as np
    f = get_sample_data("axes_grid / bivariate_normal.npy", 
                        asfileobj = False)
    z = np.load(f)
      
    # z is a numpy array of 15x15
    return z, (3, 19, 4, 13)
  
  
fig, ax = plt.subplots(figsize =[5, 4])
  
Z, extent = get_demo_image()
  
ax.set(aspect = 1,
       xlim =(0, 65),
       ylim =(0, 50))
  
  
axins = zoomed_inset_axes(ax, zoom = 2, 
                          loc ='upper right')
  
im = axins.imshow(Z, extent = extent, 
                  interpolation ="nearest",
                  origin ="upper")
  
plt.xlabel('X-axis') 
plt.ylabel('Y-axis')
  
plt.xticks(visible = False)
plt.show()

输出:

matplotlib.pyplot.xticks()函数