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.set_xlim() Function:
The Axes.set_xlim() function in axes module of matplotlib library is used to set the x-axis view limits.
Syntax: Axes.set_xlim(self, left=None, right=None, emit=True, auto=False, *, xmin=None, xmax=None)
Parameters: This method accepts the following parameters.
- left : This parameter is the left xlim in data coordinates
- right : This parameter is the right xlim in data coordinates
- emit : This parameter is used to notify observers of limit change.
- auto : This parameter is used to turn on autoscaling of the x-axis.
- xmin, xmax: These parameter are equivalent to left and right and it is an error to pass both xmin and left or xmax and right.
Returns:This method returns the following
- left, right :This returns the new x-axis limits in data coordinates.
Below examples illustrate the matplotlib.axes.Axes.set_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 = plt.subplots(facecolor ='#A0F0CC') x, y = 4*(np.random.rand(2, 100) - .5) ax.plot(x, y, 'g') ax.set_xlim(-3, 3) cursor = Cursor(ax, useblit = True, color ='red', linewidth = 2) ax.set_title('matplotlib.axes.Axes.set_xlim() \ Example\n', fontsize = 14, fontweight ='bold') plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np fig1, ax1 = plt.subplots() fig2, ax2 = plt.subplots() 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) x, y, s, c = np.random.rand(4, 200) s *= 200 ax1.scatter(x, y, s, c) ax2.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) fig2.canvas.draw() fig1.canvas.mpl_connect('button_press_event', GFG) ax1.set_title('matplotlib.axes.Axes.set_xlim() \ Example\n Original Window ', fontsize = 14, fontweight ='bold') ax2.set_title('Zoomed Window', fontsize = 14, fontweight ='bold') plt.show() |
Output:
