Python中的 Matplotlib.axis.Tick.properties()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.Tick.properties()函数
matplotlib 库的轴模块中的Tick.properties()函数用于获取艺术家所有属性的字典。
Syntax: Tick.properties(self)
Parameters: This method does not accepts any parameters.
Return value: This method return dictionary of all the properties of the artist.
下面的示例说明了 matplotlib.axis 中的 matplotlib.axis.Tick.properties()函数:
示例 1:
Python3
# Implementation of matplotlib function
from matplotlib.axis import Tick
import numpy as np
import matplotlib.pyplot as plt
xx = np.random.rand(3, 4)
fig, ax = plt.subplots()
m = ax.pcolor(xx)
m.set_zorder(2)
w = Tick.properties(ax)
print("Display first 10 Properties\n")
for i in list(w)[:10]:
print(i, ":", w[i])
fig.suptitle('matplotlib.axis.Tick.properties() \
function Example', fontweight ="bold")
plt.show()
Python3
# Implementation of matplotlib function
from matplotlib.axis import Tick
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 = 25, lw = 3)
ax.grid(True)
w = Tick.properties(ax)
print("Display last 10 Properties\n")
for i in list(w)[-10:]:
print(i, ":", w[i])
fig.suptitle('matplotlib.axis.Tick.properties() \
function Example', fontweight ="bold")
plt.show()
输出:
Display first 10 Properties
adjustable : box
agg_filter : None
alpha : None
anchor : C
animated : False
aspect : auto
autoscale_on : True
autoscalex_on : True
autoscaley_on : True
axes_locator : None
示例 2:
Python3
# Implementation of matplotlib function
from matplotlib.axis import Tick
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 = 25, lw = 3)
ax.grid(True)
w = Tick.properties(ax)
print("Display last 10 Properties\n")
for i in list(w)[-10:]:
print(i, ":", w[i])
fig.suptitle('matplotlib.axis.Tick.properties() \
function Example', fontweight ="bold")
plt.show()
输出:
Display last 10 Properties
ygridlines :
ylabel :
ylim : (-0.300605326634452, 1.061933586982593)
ymajorticklabels :
yminorticklabels :
yscale : linear
yticklabels :
yticklines :
yticks : [-0.4 -0.2 0. 0.2 0.4 0.6 0.8 1. 1.2]
zorder : 0