mars.dataframe.Series.plot.barh#
- Series.plot.barh(*args, **kwargs)#
Make a horizontal bar plot.
A horizontal bar plot is a plot that presents quantitative data with rectangular bars with lengths proportional to the values that they represent. A bar plot shows comparisons among discrete categories. One axis of the plot shows the specific categories being compared, and the other axis represents a measured value.
- Parameters
x (label or position, optional) – Allows plotting of one column versus another. If not specified, the index of the DataFrame is used.
y (label or position, optional) – Allows plotting of one column versus another. If not specified, all numerical columns are used.
color (str, array-like, or dict, optional) –
The color for each of the DataFrame’s columns. Possible values are:
- A single color string referred to by name, RGB or RGBA code,
for instance ‘red’ or ‘#a98d19’.
- A sequence of color strings referred to by name, RGB or RGBA
code, which will be used for each column recursively. For instance [‘green’,’yellow’] each column’s bar will be filled in green or yellow, alternatively. If there is only a single column to be plotted, then only the first color from the color list will be used.
- A dict of the form {column namecolor}, so that each column will be
colored accordingly. For example, if your columns are called a and b, then passing {‘a’: ‘green’, ‘b’: ‘red’} will color bars for column a in green and bars for column b in red.
New in version 1.1.0.
**kwargs – Additional keyword arguments are documented in
DataFrame.plot()
.
- Returns
An ndarray is returned with one
matplotlib.axes.Axes
per column whensubplots=True
.DataFrame.plot.bar: Vertical bar plot. DataFrame.plot : Make plots of DataFrame using matplotlib. matplotlib.axes.Axes.bar : Plot a vertical bar plot using matplotlib.
Basic example
(Source code, png, hires.png, pdf)
Plot a whole DataFrame to a horizontal bar plot
(Source code, png, hires.png, pdf)
Plot stacked barh charts for the DataFrame
(Source code, png, hires.png, pdf)
We can specify colors for each column
(Source code, png, hires.png, pdf)
Plot a column of the DataFrame to a horizontal bar plot
(Source code, png, hires.png, pdf)
Plot DataFrame versus the desired column
(Source code, png, hires.png, pdf)
- Return type
matplotlib.axes.Axes or np.ndarray of them