Python中的 Matplotlib.axis.Axis.update_units()函数
Matplotlib是Python中的一个库,它是 NumPy 库的数值数学扩展。它是Python中用于二维数组图的惊人可视化库,用于处理更广泛的 SciPy 堆栈。
Matplotlib.axis.Axis.update_units()函数
matplotlib 库的轴模块中的Axis.update_units()函数用于内省单位转换器的数据,并在必要时更新 axis.converter 实例。
Syntax: Axis.update_units(self, data)
Parameters: This method accepts the following parameters.
- data: This parameter is the data to tbe update.
Return value: This method return True if data is registered for unit conversion.
下面的示例说明了 matplotlib.axis 中的 matplotlib.axis.Axis.update_units()函数:
示例 1:
Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt
import numpy as np
np.random.seed(10**7)
geeks = np.random.randn(100)
fig, ax = plt.subplots()
ax.acorr(geeks, usevlines = True,
normed = True,
maxlags = 80, lw = 3)
ax.grid(True)
prop = {'xticks': np.array([-100., -50.,
0., 50., 100.]),
'yticks': np.array([-0.2, 0.2,
0.6, 1., 1.4]),
'ylabel': None, 'xlabel': None}
ax.update(prop)
w = Axis.update_units(ax.xaxis,[1,2,3,4,5])
print(w)
fig.suptitle("""matplotlib.axis.Axis.update_units()
function Example\n""", fontweight ="bold")
plt.show()
Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np
import matplotlib.pyplot as plt
xx = np.random.rand(16, 30)
fig, ax = plt.subplots()
m = ax.pcolor(xx)
m.set_zorder(-20)
w = Axis.update_units(ax.xaxis,[1,2,3,4,5])
print(w)
fig.suptitle("""matplotlib.axis.Axis.update_units()
function Example\n""", fontweight ="bold")
plt.show()
输出:
False
示例 2
Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np
import matplotlib.pyplot as plt
xx = np.random.rand(16, 30)
fig, ax = plt.subplots()
m = ax.pcolor(xx)
m.set_zorder(-20)
w = Axis.update_units(ax.xaxis,[1,2,3,4,5])
print(w)
fig.suptitle("""matplotlib.axis.Axis.update_units()
function Example\n""", fontweight ="bold")
plt.show()
输出:
False