Matplotlib.pyplot.broken_barh() in Python
Matplotlib is one of the most popular Python packages used for data visualization. It is a cross-platform library for making 2D plots from data in arrays. Pyplot is a collection of command style functions that make matplotlib work like MATLAB.
matplotlib.pyplot.broken_barh()
The function broken_barh() is used to Plot a horizontal sequence of rectangles.A rectangle is drawn for each component of xranges which consists of a sequence of tuples. All rectangles have the same vertical position and estimate characterized by yrange.
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Syntax: matplotlib.pyplot.broken_barh(xranges, yrange, *, data=None, **kwargs)
Parameters:
- xranges : sequence of tuples (xmin, xwidth)
Each tuples gives the position(xmin) of the rectangle and it’s horizontal extension(xwidth) from that position.- yranges : (ymin, ymax)
In the above attribute, ymin gives the position of the rectangle and ymax gives the vertical extension from ymin.Returns:
- BrokenBarHCollection: A collection of horizontal bars spanning yrange with a sequence of xranges.
Examples to illustrate the matplotlib.pyplot.broken_barh() function are as follows:
Example 1:
# importing moduleimport matplotlib.pyplot as plt # Adding title to the plotplt.title('GEEKSFORGEEKS - EXAMPLE') # adding x axis label to the plotplt.xlabel('x-label') # label for y axis for the plotplt.ylabel('y-label') x_1 = [(1, 4), (10, 7)]y_1 = (2, 2) # Plotting the chartplt.broken_barh(x_1, y_1, facecolors ='green') x_2 = [(10, 1), (15, 4), (25, 6)]y_2 = (6, 2) # Plotting the chartplt.broken_barh(x_2, y_2, facecolors ='cyan') plt.show() |
Output :
Example 2:
# importing moduleimport matplotlib.pyplot as plt # Adding title to the plotplt.title('GEEKSFORGEEKS - EXAMPLE') # adding x axis label to the plotplt.xlabel('Number of Cars') # label for y axis for the plotplt.ylabel('Average Speed') x_1 = [(10, 3), (15, 4)]y_1 = (50, 10) # Plotting the chartplt.broken_barh(x_1, y_1, facecolors ='cyan') x_2 = [(1, 4), (10, 1), (15, 4), (25, 6)]y_2 = (70, 10) # Plotting the chartplt.broken_barh(x_2, y_2, facecolors ='green') x_3 = [(5, 3), (11, 2), (18, 5)]y_3 = (90, 10) # Plotting the chartplt.broken_barh(x_3, y_3, facecolors ='blue') plt.show() |
Output :
