Matplotlib.figure.Figure.gca() in Python

30 Apr, 2020
Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The figure module provides the top-level Artist, the Figure, which contains all the plot elements. This module is used to control the default spacing of the subplots and top level container for all plot elements.
The gca() method figure module of matplotlib library is used to get the current axes.
Syntax: gca(self, **kwargs)
Parameters: This method does not accept any parameters.
Returns: This method returns the current axes.
Below examples illustrate the matplotlib.figure.Figure.gca() function in matplotlib.figure:
Example 1:
# Implementation of matplotlib functionimport matplotlib.pyplot as pltimport numpy as npimport matplotlib.gridspec as gridspecfrom mpl_toolkits.axes_grid1 import make_axes_locatable     plt.close('all')arr = np.arange(100).reshape((10, 10))fig = plt.figure(figsize =(4, 4))  im = plt.imshow(arr,                interpolation ="none",                cmap ="plasma")   divider = make_axes_locatable(fig.gca())cax = divider.append_axes("left",                          "15 %",                            pad ="30 %")  plt.colorbar(im, cax = cax)   fig.suptitle('matplotlib.figure.Figure.gca()\ function Example', fontweight ="bold")   plt.show()
Output:
Example 2:
#Implementation of matplotlib functionimport matplotlib.pyplot as pltfrom matplotlib.tri import Triangulationfrom matplotlib.patches import Polygonimport numpy as np         ang = 3radi = 8radii = np.linspace(0.25, 0.95, radi)  res = np.linspace(0, 4 * np.pi, ang)res = np.repeat(res[..., np.newaxis], radi, axis=1)res[:, 1::2] += np.pi / ang  x = (radii*np.cos(2*res)).flatten()y = (radii*np.sin(2*res)).flatten()  triang = Triangulation(x, y)triang.set_mask(np.hypot(x[triang.triangles].mean(axis=1),                         y[triang.triangles].mean(axis=1))                < 0.25)     trifinder = triang.get_trifinder()     fig = plt.figure()plt.triplot(triang, 'go-')polygon = Polygon([[0, 0], [0, 0]], facecolor='r')     def update_polygon(tri):      if tri == -1:        points = [0, 0, 0]          else:        points = triang.triangles[tri]          xs = triang.x[points]    ys = triang.y[points]    polygon.set_xy(np.column_stack([xs, ys]))          def motion_notify(event):          if event.inaxes is None:        tri = -1          else:        tri = trifinder(event.xdata, event.ydata)          update_polygon(tri)          fig.suptitle('matplotlib.figure.Figure.gca()\    function Example\n\n Potion number : %i' % tri,                 fontweight="bold")          event.canvas.draw()     update_polygon(-1)fig.gca().add_patch(polygon)plt.gcf().canvas.mpl_connect('motion_notify_event',                             motion_notify)     plt.show()
Output:
Matplotlib figure-class
Python-matplotlib
Python
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