mars.dataframe.Series.plot.bar

Series.plot.bar(*args, **kwargs)

Vertical bar plot.

A bar plot is a plot that presents categorical 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 when subplots=True.

DataFrame.plot.barh : Horizontal bar plot. DataFrame.plot : Make plots of a DataFrame. matplotlib.pyplot.bar : Make a bar plot with matplotlib.

Basic plot.

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Plot a whole dataframe to a bar plot. Each column is assigned a distinct color, and each row is nested in a group along the horizontal axis.

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Plot stacked bar charts for the DataFrame

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Instead of nesting, the figure can be split by column with subplots=True. In this case, a numpy.ndarray of matplotlib.axes.Axes are returned.

(Source code, png, hires.png, pdf)

If you don’t like the default colours, you can specify how you’d like each column to be colored.

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Plot a single column.

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Plot only selected categories for the DataFrame.

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Return type

matplotlib.axes.Axes or np.ndarray of them