Python 中的 Matplotlib.axis.Tick.pickable()函数
原文:https://www.geeksforgeeks.org/matplotlib-axis-tick-pick able-python 中的函数/
Matplotlib 是 Python 中的一个库，是 NumPy 库的数值-数学扩展。这是一个神奇的 Python 可视化库，用于 2D 数组图，并用于处理更广泛的 SciPy 堆栈。
Matplotlib.axis.Tick.pickable()函数
matplotlib 库轴模块中的 Tick.pickable()函数用于返回艺术家是否可拾取。
语法:勾选可选择(自我)
参数:此方法不接受任何参数。
返回值:此方法返回艺人是否可挑。
以下示例说明 matplotlib.axis.Tick.pickable()函数在 matplotlib.axis: 示例 1:
蟒蛇 3
# Implementation of matplotlib function
from matplotlib.axis import Tick
import numpy as np
np.random.seed(19680801)
import matplotlib.pyplot as plt
volume = np.random.rayleigh(27, size = 100)
amount = np.random.poisson(10, size = 100)
ranking = np.random.normal(size = 100)
price = np.random.uniform(1, 10, size = 100)
fig, ax = plt.subplots()
scatter = ax.scatter(volume * 2, amount * 3,
c = ranking ** 3,
s = (price * 5)**2,
vmin = -4, vmax = 4,
cmap = "Spectral")
ax.text(60, 30, "Value return : "
+ str(Tick.pickable(ax)),
fontweight ="bold",
fontsize = 16)
fig.suptitle('matplotlib.axis.Tick.pickable() \
function Example', fontweight ="bold")
plt.show()
输出:
例 2:
蟒蛇 3
# Implementation of matplotlib function
from matplotlib.axis import Tick
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cbook as cbook
np.random.seed(10**7)
data = np.random.lognormal(size =(10, 4),
mean = 4.5,
sigma = 4.75)
labels = ['G1', 'G2', 'G3', 'G4']
result = cbook.boxplot_stats(data,
labels = labels,
bootstrap = 1000)
fig, axes1 = plt.subplots()
axes1.bxp(result)
axes1.text(2, 30000,
"Value return : "
+ str(Tick.pickable(axes1)),
fontweight ="bold")
fig.suptitle('matplotlib.axis.Tick.pickable() \
function Example', fontweight ="bold")
plt.show()
输出:
