Pracownia_programowania/venv/Lib/site-packages/matplotlib/testing/jpl_units/StrConverter.py
2020-02-01 20:05:44 +01:00

143 lines
4.5 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. Provides matplotlib conversion
functionality 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):
""": Returns information on how to handle an axis that has string data.
= INPUT VARIABLES
- axis The axis using this converter.
- unit The units to use for a axis with string data.
= RETURN VALUE
- Returns a matplotlib AxisInfo data structure that contains
minor/major formatters, major/minor locators, and default
label information.
"""
return None
@staticmethod
def convert(value, unit, axis):
""": Convert value using unit to a float. If value is a sequence, return
the converted sequence.
= INPUT VARIABLES
- axis The axis using this converter.
- value The value or list of values that need to be converted.
- unit The units to use for a axis with Epoch data.
= RETURN VALUE
- Returns the value parameter converted to floats.
"""
if units.ConversionInterface.is_numlike(value):
return value
if value == []:
return []
# we delay loading to make matplotlib happy
ax = axis.axes
if axis is ax.get_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)
for v in newValues:
if labels:
labels.append(v)
else:
labels = [v]
# 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 = []
for v in value:
# If v is not in labels then something went wrong with adding new
# labels to the list of old labels.
errmsg = "This is due to a logic error in the StrConverter class."
errmsg += " Please report this error and its message in bugzilla."
assert v in labels, errmsg
result.append(ticks[labels.index(v)])
ax.viewLim.ignore(-1)
return result
@staticmethod
def default_units(value, axis):
""": Return the default unit for value, or None.
= INPUT VARIABLES
- axis The axis using this converter.
- value The value or list of values that need units.
= RETURN VALUE
- Returns the default units to use for value.
Return the default unit for value, or None.
"""
# The default behavior for string indexing.
return "indexed"