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.broken_barh() Function
The Axes.broken_barh() function in axes module of matplotlib library is used to plot a horizontal sequence of rectangles.
Syntax:
Axes.broken_barh(self, xranges, yrange, *, data=None, **kwargs)Parameters: This method accept the following parameters that are described below:
- y: This parameter is the sequence of y coordinates of the bar.
- xranges: This parameter is the sequence of tuples (xmin, xwidth).It is the x-positions and extends of the rectangles.
- yrange: This parameter is the sequence of tuples (ymin, yheight).It is the y-positions and extends for all the rectangles.
Returns: This returns the following:
- BrokenBarHCollection:This returns the container with all the broken_barh.
Below examples illustrate the matplotlib.axes.Axes.broken_barh() function in matplotlib.axes:
Example #1:
# Implementation of matplotlib function import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.broken_barh([(110, 30), (150, 10)], (10, 9), facecolors ='tab:green') ax.set_xlabel('x') ax.set_ylabel('y') ax.grid(True) ax.set_title('matplotlib.axes.Axes.\ broken_barh Example') plt.show() |
Output:
Example #2:
# Implementation of matplotlib function import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.broken_barh([(110, 30), (150, 10)], (10, 9), facecolors ='tab:green') ax.broken_barh([(100, 20), (130, 10)], (20, 9), facecolors =('tab:green')) ax.set_ylim(5, 35) ax.set_xlim(50, 200) ax.set_xlabel('Learning Rate') ax.set_yticks([15, 25]) ax.set_yticklabels(['Geeks1', 'Geeks2']) ax.grid(True) ax.annotate('Broken', (125, 25), xytext =(0.8, 0.9), textcoords ='axes fraction', arrowprops = dict(facecolor ='black', shrink = 0.05), fontsize = 16, horizontalalignment ='right', verticalalignment ='top') ax.set_title('matplotlib.axes.Axes.broken_barh Example') plt.show() |
Output:
