Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
matplotlib.axes.Axes.get_position() Function
The Axes.set_position() function in axes module of matplotlib library is used to Get a copy of the axes rectangle as a Bbox..
Syntax: Axes.get_position(self, original=False)
Parameters:
- original : This parameter is used to return the original position if true. Otherwise return the active position.
Return value: This method returns a copy of the axes rectangle as a Bbox.
Below examples illustrate the matplotlib.axes.Axes.get_position() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np x = np.arange(10) y = [2, 4, 6, 14, 15, 16, 17, 16, 18, 20] y2 = [10, 11, 12, 13, 8, 10, 12, 14, 18, 19] fig, ax1 = plt.subplots() ax1.plot(x, y, "go-", label ='Line 1', ) ax1.plot(x, y2, "o-", label ='Line 2') chartBox = ax1.get_position() x, y, w, h = chartBox.x0, chartBox.y0, chartBox.width, chartBox.height ax1.text(0, 20, "Bbox - xmin : "+str(x), fontweight ="bold") ax1.text(0, 19, "Bbox - ymin : "+str(round(y, 2)), fontweight ="bold") ax1.text(0, 18, "Bbox - width : "+str(w), fontweight ="bold") ax1.text(0, 17, "Bbox - height : "+str(h), fontweight ="bold") fig.suptitle('matplotlib.axes.Axes.get_position()\ function Example\n', fontweight ="bold") plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np from matplotlib.colors import LogNorm Z = np.random.rand(6, 30) fig, ax1 = plt.subplots() ax1.pcolor(Z) chartBox = ax1.get_position() x, y, x1, y1 = chartBox.x0, chartBox.y0, chartBox.x1, chartBox.y1 ax1.text(4, 6.35, "Bbox - xmin : "+str(x), fontweight ="bold") ax1.text(19, 6.35, "Bbox - ymin : "+str(round(y, 2)), fontweight ="bold") ax1.text(4, 6.15, "Bbox - xmax : "+str(x1), fontweight ="bold") ax1.text(19, 6.15, "Bbox - ymax : "+str(y1), fontweight ="bold") fig.suptitle('matplotlib.axes.Axes.get_position()\ function Example\n', fontweight ="bold") plt.show() |
Output:
