mirror of
https://github.com/PiBrewing/craftbeerpi4.git
synced 2024-11-14 02:58:16 +01:00
99 lines
2.8 KiB
Python
99 lines
2.8 KiB
Python
|
"""
|
||
|
|
Plotting public API.
|
||
|
|
|
||
|
|
Authors of third-party plotting backends should implement a module with a
|
||
|
|
public ``plot(data, kind, **kwargs)``. The parameter `data` will contain
|
||
|
|
the data structure and can be a `Series` or a `DataFrame`. For example,
|
||
|
|
for ``df.plot()`` the parameter `data` will contain the DataFrame `df`.
|
||
|
|
In some cases, the data structure is transformed before being sent to
|
||
|
|
the backend (see PlotAccessor.__call__ in pandas/plotting/_core.py for
|
||
|
|
the exact transformations).
|
||
|
|
|
||
|
|
The parameter `kind` will be one of:
|
||
|
|
|
||
|
|
- line
|
||
|
|
- bar
|
||
|
|
- barh
|
||
|
|
- box
|
||
|
|
- hist
|
||
|
|
- kde
|
||
|
|
- area
|
||
|
|
- pie
|
||
|
|
- scatter
|
||
|
|
- hexbin
|
||
|
|
|
||
|
|
See the pandas API reference for documentation on each kind of plot.
|
||
|
|
|
||
|
|
Any other keyword argument is currently assumed to be backend specific,
|
||
|
|
but some parameters may be unified and added to the signature in the
|
||
|
|
future (e.g. `title` which should be useful for any backend).
|
||
|
|
|
||
|
|
Currently, all the Matplotlib functions in pandas are accessed through
|
||
|
|
the selected backend. For example, `pandas.plotting.boxplot` (equivalent
|
||
|
|
to `DataFrame.boxplot`) is also accessed in the selected backend. This
|
||
|
|
is expected to change, and the exact API is under discussion. But with
|
||
|
|
the current version, backends are expected to implement the next functions:
|
||
|
|
|
||
|
|
- plot (describe above, used for `Series.plot` and `DataFrame.plot`)
|
||
|
|
- hist_series and hist_frame (for `Series.hist` and `DataFrame.hist`)
|
||
|
|
- boxplot (`pandas.plotting.boxplot(df)` equivalent to `DataFrame.boxplot`)
|
||
|
|
- boxplot_frame and boxplot_frame_groupby
|
||
|
|
- register and deregister (register converters for the tick formats)
|
||
|
|
- Plots not called as `Series` and `DataFrame` methods:
|
||
|
|
- table
|
||
|
|
- andrews_curves
|
||
|
|
- autocorrelation_plot
|
||
|
|
- bootstrap_plot
|
||
|
|
- lag_plot
|
||
|
|
- parallel_coordinates
|
||
|
|
- radviz
|
||
|
|
- scatter_matrix
|
||
|
|
|
||
|
|
Use the code in pandas/plotting/_matplotib.py and
|
||
|
|
https://github.com/pyviz/hvplot as a reference on how to write a backend.
|
||
|
|
|
||
|
|
For the discussion about the API see
|
||
|
|
https://github.com/pandas-dev/pandas/issues/26747.
|
||
|
|
"""
|
||
|
|
from pandas.plotting._core import (
|
||
|
|
PlotAccessor,
|
||
|
|
boxplot,
|
||
|
|
boxplot_frame,
|
||
|
|
boxplot_frame_groupby,
|
||
|
|
hist_frame,
|
||
|
|
hist_series,
|
||
|
|
)
|
||
|
|
from pandas.plotting._misc import (
|
||
|
|
andrews_curves,
|
||
|
|
autocorrelation_plot,
|
||
|
|
bootstrap_plot,
|
||
|
|
deregister as deregister_matplotlib_converters,
|
||
|
|
lag_plot,
|
||
|
|
parallel_coordinates,
|
||
|
|
plot_params,
|
||
|
|
radviz,
|
||
|
|
register as register_matplotlib_converters,
|
||
|
|
scatter_matrix,
|
||
|
|
table,
|
||
|
|
)
|
||
|
|
|
||
|
|
__all__ = [
|
||
|
|
"PlotAccessor",
|
||
|
|
"boxplot",
|
||
|
|
"boxplot_frame",
|
||
|
|
"boxplot_frame_groupby",
|
||
|
|
"hist_frame",
|
||
|
|
"hist_series",
|
||
|
|
"scatter_matrix",
|
||
|
|
"radviz",
|
||
|
|
"andrews_curves",
|
||
|
|
"bootstrap_plot",
|
||
|
|
"parallel_coordinates",
|
||
|
|
"lag_plot",
|
||
|
|
"autocorrelation_plot",
|
||
|
|
"table",
|
||
|
|
"plot_params",
|
||
|
|
"register_matplotlib_converters",
|
||
|
|
"deregister_matplotlib_converters",
|
||
|
|
]
|