Matplotlib是Python中的一個庫,它是數字的-NumPy庫的數學擴展。它是Python中令人驚歎的可視化庫,用於數組的2D圖,並用於與更廣泛的SciPy堆棧配合使用。
matplotlib.axis.Axis.get_majorticklocs()函數
matplotlib庫的軸模塊中的Axis.get_majorticklocs()函數用於獲取數據坐標中主要刻度位置的數組。
用法: Axis.get_majorticklocs(self)
參數: This method does not accepts any parameter.
Return value: This method returns the array of major tick locations in data coordinates.
以下示例說明了matplotlib.axis中的matplotlib.axis.Axis.get_majorticklocs()函數:
範例1:
Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
from matplotlib.artist import Artist
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
def tellme(s):
ax.set_title(s, fontsize = 16)
fig.canvas.draw()
renderer = fig.canvas.renderer
Artist.draw(ax, renderer)
tellme("Matplotlib.axis.Axis.get_majorticklocs()\n\
Function Example")
ax.grid()
print("Value of get_majorticklocs():")
for i in ax.xaxis.get_majorticklocs():
print(i)
plt.show()
輸出:
Value of get_majorticklocs(): 0.0 0.2 0.4 0.6000000000000001 0.8 1.0
範例2:
Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
from matplotlib.artist import Artist
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111, projection ='3d')
X, Y, Z = axes3d.get_test_data(0.1)
ax.plot_wireframe(X, Y, Z, rstride = 5,
cstride = 5)
ax.view_init(30, 50)
fig.canvas.draw()
renderer = fig.canvas.renderer
Artist.draw(ax, renderer)
fig.suptitle('Matplotlib.axis.Axis.get_majorticklocs()\n\
Function Example')
ax.grid()
print("Value of get_majorticklocs():")
for i in ax.xaxis.get_majorticklocs():
print(i)
plt.show()
輸出:
Value of get_majorticklocs(): -40.0 -30.0 -20.0 -10.0 0.0 10.0 20.0 30.0 40.0
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注:本文由純淨天空篩選整理自SHUBHAMSINGH10大神的英文原創作品 Matplotlib.axis.Axis.get_majorticklocs() function in Python。非經特殊聲明,原始代碼版權歸原作者所有,本譯文未經允許或授權,請勿轉載或複製。