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nvim_config/typings/matplotlib/category.pyi

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"""
This type stub file was generated by pyright.
"""
from matplotlib import ticker, units
"""
Plotting of string "category" data: ``plot(['d', 'f', 'a'], [1, 2, 3])`` will
plot three points with x-axis values of 'd', 'f', 'a'.
See :doc:`/gallery/lines_bars_and_markers/categorical_variables` for an
example.
The module uses Matplotlib's `matplotlib.units` mechanism to convert from
strings to integers and provides a tick locator, a tick formatter, and the
`.UnitData` class that creates and stores the string-to-integer mapping.
"""
_log = ...
class StrCategoryConverter(units.ConversionInterface):
@staticmethod
def convert(value, unit, axis): # -> Any:
"""
Convert strings in *value* to floats using mapping information stored
in the *unit* object.
Parameters
----------
value : str or iterable
Value or list of values to be converted.
unit : `.UnitData`
An object mapping strings to integers.
axis : `~matplotlib.axis.Axis`
The axis on which the converted value is plotted.
.. note:: *axis* is unused.
Returns
-------
float or `~numpy.ndarray` of float
"""
...
@staticmethod
def axisinfo(unit, axis): # -> AxisInfo:
"""
Set the default axis ticks and labels.
Parameters
----------
unit : `.UnitData`
object string unit information for value
axis : `~matplotlib.axis.Axis`
axis for which information is being set
.. note:: *axis* is not used
Returns
-------
`~matplotlib.units.AxisInfo`
Information to support default tick labeling
"""
...
@staticmethod
def default_units(data, axis):
"""
Set and update the `~matplotlib.axis.Axis` units.
Parameters
----------
data : str or iterable of str
axis : `~matplotlib.axis.Axis`
axis on which the data is plotted
Returns
-------
`.UnitData`
object storing string to integer mapping
"""
...
class StrCategoryLocator(ticker.Locator):
"""Tick at every integer mapping of the string data."""
def __init__(self, units_mapping) -> None:
"""
Parameters
----------
units_mapping : dict
Mapping of category names (str) to indices (int).
"""
...
def __call__(self): # -> list[Unknown]:
...
def tick_values(self, vmin, vmax): # -> list[Unknown]:
...
class StrCategoryFormatter(ticker.Formatter):
"""String representation of the data at every tick."""
def __init__(self, units_mapping) -> None:
"""
Parameters
----------
units_mapping : dict
Mapping of category names (str) to indices (int).
"""
...
def __call__(self, x, pos=...): # -> str:
...
def format_ticks(self, values): # -> list[str]:
...
class UnitData:
def __init__(self, data=...) -> None:
"""
Create mapping between unique categorical values and integer ids.
Parameters
----------
data : iterable
sequence of string values
"""
...
def update(self, data): # -> None:
"""
Map new values to integer identifiers.
Parameters
----------
data : iterable of str or bytes
Raises
------
TypeError
If elements in *data* are neither str nor bytes.
"""
...