pandas plotting radviz

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pandas.plotting.radviz
pandas.plotting.radviz(frame, class_column, ax=None, color=None, colormap=None, **kwds)
Plot a multidimensional dataset in 2D.
Each Series in the DataFrame is represented as a evenly distributed slice on a circle. Each data point is rendered
in the circle according to the value on each Series. Highly correlated Series in the DataFrame are placed closer
on the unit circle.
RadViz allow to project a N-dimensional data set into a 2D space where the influence of each dimension can be
interpreted as a balance between the influence of all dimensions.
More info available at the original article describing RadViz.
Parameters: frame : DataFrame
Object holding the data.
class_column : str
Column name containing the name of the data point category.
ax : matplotlib.axes.Axes, optional
A plot instance to which to add the information.
color : list[str] or tuple[str], optional
Assign a color to each category. Example: [‘blue’, ‘green’].
colormap : str or matplotlib.colors.Colormap, default None
Colormap to select colors from. If string, load colormap with that name from matplotlib.
**kwds
Options to pass to matplotlib scatter plotting method.
Returns: class:matplotlib.axes.Axes
plotting.andrews_curves
Plot clustering visualization.
Examples
>>> df = pd.DataFrame( 
... { 
... 'SepalLength': [6.5, 7.7, 5.1, 5.8, 7.6, 5.0, 5.4, 4.6, 6.7, 4.6], 
... 'SepalWidth': [3.0, 3.8, 3.8, 2.7, 3.0, 2.3, 3.0, 3.2, 3.3, 3.6], 
... 'PetalLength': [5.5, 6.7, 1.9, 5.1, 6.6, 3.3, 4.5, 1.4, 5.7, 1.0], 
... 'PetalWidth': [1.8, 2.2, 0.4, 1.9, 2.1, 1.0, 1.5, 0.2, 2.1, 0.2], 
... 'Category': [ 
... 'virginica', 
... 'virginica', 
... 'setosa', 
... 'virginica', 
... 'virginica', 
... 'versicolor', 
... 'versicolor', 
... 'setosa', 
... 'virginica', 
... 'setosa' 
... ] 
... } 
... ) 
>>> pd.plotting.radviz(df, 'Category') 
See also
Search the docs ...
Input/output
General functions
Series
DataFrame
pandas arrays
Index objects
Date offsets
Window
GroupBy
Resampling
Style
Plotting

pandas.plotting.andrews_curves
pandas.plotting.autocorrelation_plot
pandas.plotting.bootstrap_plot
pandas.plotting.boxplot
pandas.plotting.deregister_matplotlib_c
pandas.plotting.lag_plot
pandas.plotting.parallel_coordinates
pandas.plotting.plot_params
pandas.plotting.radviz
pandas.plotting.register_matplotlib_con
pandas.plotting.scatter_matrix
pandas.plotting.table
General utility functions
Extensions
https://github.com/pandas-dev/pandas/blob/v1.3.1/pandas/plotting/_misc.py#L143-L220
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.889
https://matplotlib.org/stable/api/axes_api.html#matplotlib.axes.Axes
https://matplotlib.org/stable/api/_as_gen/matplotlib.colors.Colormap.html#matplotlib.colors.Colormap
https://pandas.pydata.org/docs/reference/io.html
https://pandas.pydata.org/docs/reference/general_functions.html
https://pandas.pydata.org/docs/reference/series.html
https://pandas.pydata.org/docs/reference/frame.html
https://pandas.pydata.org/docs/reference/arrays.html
https://pandas.pydata.org/docs/reference/indexing.html
https://pandas.pydata.org/docs/reference/offset_frequency.html
https://pandas.pydata.org/docs/reference/window.html
https://pandas.pydata.org/docs/reference/groupby.html
https://pandas.pydata.org/docs/reference/resampling.html
https://pandas.pydata.org/docs/reference/style.html
https://pandas.pydata.org/docs/reference/plotting.html
https://pandas.pydata.org/docs/reference/api/pandas.plotting.andrews_curves.html
https://pandas.pydata.org/docs/reference/api/pandas.plotting.autocorrelation_plot.html
https://pandas.pydata.org/docs/reference/api/pandas.plotting.bootstrap_plot.html
https://pandas.pydata.org/docs/reference/api/pandas.plotting.boxplot.html
https://pandas.pydata.org/docs/reference/api/pandas.plotting.deregister_matplotlib_converters.html
https://pandas.pydata.org/docs/reference/api/pandas.plotting.lag_plot.html
https://pandas.pydata.org/docs/reference/api/pandas.plotting.parallel_coordinates.html
https://pandas.pydata.org/docs/reference/api/pandas.plotting.plot_params.html
https://pandas.pydata.org/docs/reference/api/pandas.plotting.register_matplotlib_converters.html
https://pandas.pydata.org/docs/reference/api/pandas.plotting.scatter_matrix.html
https://pandas.pydata.org/docs/reference/api/pandas.plotting.table.html
https://pandas.pydata.org/docs/reference/general_utility_functions.html
https://pandas.pydata.org/docs/reference/extensions.html
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