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y: Contains the y coordinates of the bars. It may be scalar or array-like. width: The width (s) of the bars. It may be scalar or array-like. height: Sequence of heights of the bars. It is scalar and default: 0.8.
The Matplotlib barh () function returns Bar Container with all the bars and optionally errorbars.
The Matplotlib barh () function plots horizontal bar graphs in Python. Using the Numpy arrange function creating two arrays. The array ‘x’ contains the name of the four horizontal bars. And the array ‘y’ contains the sequence of y coordinates of the bar.
The matplotlib barh () in python takes the keyword argument height to set the bars’ height. In the above example, two arrays, ‘x’ and ‘y’, are defined using the np.arrange (). The array ‘x’ basically contains the labels of the four horizontal bars as A, B, C, and D. The array ‘y’ contains the y coordinates of the bar.
In the above example, the array ‘y’ contains the y – coordinates of the horizontal bar. Using the array ‘y’ and color, the barh () function to get the desired bar plot. The color is ‘blue’ to obtain blue colored horizontal bar plots.
In the above example, other parameters like errorbars and labels are included. Two arrays – mine and others, are defined containing the coordinates points along the y-axis for the horizontal bar. The other two arrays – Mine_std and Others_std, contains the errorbars to the plotted along the x-axis for the bars.
In this article, we discussed different ways of implementing the horizontal bar plot using the Matplotlib barh () in Python. We have laid out examples of barh () height, color, etc., with detailed explanations. The barh () function to plot stacked horizontal bars is also explained with an example.
The matplotlib API in Python provides the barh () function which can be used in MATLAB style use or as an object-oriented API. The syntax of the barh () function to be used with the axes is as follows:-
The bar plots can be plotted horizontally or vertically. A bar chart describes the comparisons between the discrete categories. One of the axis of the plot represents the specific categories being compared, while the other axis represents the measured values corresponding to those categories.
This example shows how to create a bar chart for Disney stock showing high, low, opening, and closing prices.
This example shows how to create a horizontal bar chart for Disney stock showing high, low, opening, and closing prices.