Matplotlib.axes.Axes.get_xlim() in Python

19 Apr, 2020
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.
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 functionfrom matplotlib.widgets import Cursorimport numpy as npimport 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 functionimport matplotlib.pyplot as pltimport 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:
Python-matplotlib
Python
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