AIM-PIbd-32-Kurbanova-A-A/aimenv/Lib/site-packages/matplotlib/testing/jpl_units/StrConverter.py
2024-10-02 22:15:59 +04:00

98 lines
2.8 KiB
Python

"""StrConverter module containing class StrConverter."""
import numpy as np
import matplotlib.units as units
__all__ = ['StrConverter']
class StrConverter(units.ConversionInterface):
"""
A Matplotlib converter class for string data values.
Valid units for string are:
- 'indexed' : Values are indexed as they are specified for plotting.
- 'sorted' : Values are sorted alphanumerically.
- 'inverted' : Values are inverted so that the first value is on top.
- 'sorted-inverted' : A combination of 'sorted' and 'inverted'
"""
@staticmethod
def axisinfo(unit, axis):
# docstring inherited
return None
@staticmethod
def convert(value, unit, axis):
# docstring inherited
if value == []:
return []
# we delay loading to make matplotlib happy
ax = axis.axes
if axis is ax.xaxis:
isXAxis = True
else:
isXAxis = False
axis.get_major_ticks()
ticks = axis.get_ticklocs()
labels = axis.get_ticklabels()
labels = [l.get_text() for l in labels if l.get_text()]
if not labels:
ticks = []
labels = []
if not np.iterable(value):
value = [value]
newValues = []
for v in value:
if v not in labels and v not in newValues:
newValues.append(v)
labels.extend(newValues)
# DISABLED: This is disabled because matplotlib bar plots do not
# DISABLED: recalculate the unit conversion of the data values
# DISABLED: this is due to design and is not really a bug.
# DISABLED: If this gets changed, then we can activate the following
# DISABLED: block of code. Note that this works for line plots.
# DISABLED if unit:
# DISABLED if unit.find("sorted") > -1:
# DISABLED labels.sort()
# DISABLED if unit.find("inverted") > -1:
# DISABLED labels = labels[::-1]
# add padding (so they do not appear on the axes themselves)
labels = [''] + labels + ['']
ticks = list(range(len(labels)))
ticks[0] = 0.5
ticks[-1] = ticks[-1] - 0.5
axis.set_ticks(ticks)
axis.set_ticklabels(labels)
# we have to do the following lines to make ax.autoscale_view work
loc = axis.get_major_locator()
loc.set_bounds(ticks[0], ticks[-1])
if isXAxis:
ax.set_xlim(ticks[0], ticks[-1])
else:
ax.set_ylim(ticks[0], ticks[-1])
result = [ticks[labels.index(v)] for v in value]
ax.viewLim.ignore(-1)
return result
@staticmethod
def default_units(value, axis):
# docstring inherited
# The default behavior for string indexing.
return "indexed"