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_xlim() Function
The Axes.get_xlim() function in axes module of matplotlib library is used to get the x-axis view limits.
Syntax: Axes.get_xlim(self)
Returns:This method returns the following
- left, right :This returns the current x-axis limits in data coordinates.
Below examples illustrate the matplotlib.axes.Axes.get_xlim() function in matplotlib.axes:
Example 1:
#Implementation of matplotlib function from matplotlib.widgets import Cursor import numpy as np import matplotlib.pyplot as plt np.random.seed(19680801) fig, (ax,ax1) = plt.subplots(1 , 2 , facecolor='#A0F0CC') x, y = 4*(np.random.rand(2, 100) - .5) ax.plot(x, y, 'g') ax.set_xlim(-3, 3) xmin, xmax = ax.get_xlim() ax.set_title('Original Window', fontsize=10, fontweight='bold') ax1.plot(x, y, 'g') ax1.set_xlim(xmin, 2*xmax) ax1.set_title('Using get_xlim() function', fontsize=10, fontweight='bold') fig.suptitle('matplotlib.axes.Axes.get_xlim()\ Example\n',fontsize=10, fontweight='bold') plt.show() |
Output:
Example 2:
#Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np fig1, (ax1,ax11) = plt.subplots(1,2) fig2, (ax2,ax22) = plt.subplots(1,2) ax1.set(xlim=(-1.0, 1.0), ylim=(-1.0, 1.0), autoscale_on=False) ax2.set(xlim=(-0.5, 0.5), ylim=(-0.5, 0.5), autoscale_on=False) ax11.set(xlim=(-1.0, 1.0), ylim=(-1.0, 1.0), autoscale_on=False) ax22.set(xlim=(-0.5, 0.5), ylim=(-0.5, 0.5), autoscale_on=False) x, y, s, c = np.random.rand(4, 200) s *= 200 ax1.scatter(x, y, s, c) ax2.scatter(x, y, s, c) ax11.scatter(x, y, s, c) ax22.scatter(x, y, s, c) def GFG(event): if event.button != 1: return x, y = event.xdata, event.ydata ax2.set_xlim(x - 0.5, x + 0.5) ax2.set_ylim(y - 0.5, y + 0.5) ax22.set_xlim(x - 0.5, x + 0.5) ax22.set_ylim(y - 0.5, y + 0.5) fig2.canvas.draw() fig1.canvas.mpl_connect('button_press_event', GFG) xmin, xmax = ax1.get_xlim() ax1.set_title('Original Window', fontsize=10, fontweight='bold') ax11.set_xlim(xmin, 2*xmax) ax11.set_title('After Using get_xlim() function', fontsize=10, fontweight='bold') xmin, xmax = ax2.get_xlim() ax2.set_title('Zoomed Window', fontsize=10, fontweight='bold') ax22.set_xlim(xmin, 2*xmax) ax22.set_title('After Using get_xlim() function', fontsize=10, fontweight='bold') fig1.suptitle('matplotlib.axes.Axes.get_xlim() \ Example\n',fontsize=10, fontweight='bold') plt.show() |
Output:
