def test_decimal_binnings(self):
"""test for consistency with binning from discretize"""
data = np.array([1, 2])
bins = decimal_binnings(data)[0].thresholds
binned = BinnedContinuousPalette.from_palette(self.palette, bins)
colors = binned.values_to_colors(data)
assert not np.array_equal(colors[0], colors[1])
def recompute_binnings(self):
if self.is_valid and self.var.is_continuous:
# binning is computed on valid var data, ignoring any cvar nans
column = self.data.get_column_view(self.var)[0].astype(float)
if np.any(np.isfinite(column)):
if self.var.is_time:
self.binnings = time_binnings(column, min_unique=5)
else:
self.binnings = decimal_binnings(
column,
min_width=self.min_var_resolution(self.var),
add_unique=10,
min_unique=5)
fm = QFontMetrics(self.font())
width = max(
fm.size(Qt.TextSingleLine,
self._short_text(binning.width_label)).width()
for binning in self.binnings)
self.bin_width_label.setFixedWidth(width)
max_bins = len(self.binnings) - 1
else:
self.binnings = []
max_bins = 0
self.controls.number_of_bins.setMaximum(max_bins)
self.number_of_bins = min(
max_bins, self._user_var_bins.get(self.var, self.number_of_bins))
self._set_bin_width_slider_label()
def recompute_binnings(self):
if self.is_mode():
return
if self.is_time():
self.binnings = time_binnings(self.agg_data, min_unique=3,
min_bins=3, max_bins=15)
else:
self.binnings = decimal_binnings(self.agg_data, min_unique=3,
min_bins=3, max_bins=15)
max_bins = len(self.binnings) - 1
self.controls.binning_index.setMaximum(max_bins)
self.binning_index = min(max_bins, self.binning_index)
def recompute_binnings(self):
if self.is_valid and self.var.is_continuous:
# binning is computed on valid var data, ignoring any cvar nans
column = self.data.get_column_view(self.var)[0].astype(float)
if np.any(np.isfinite(column)):
if self.var.is_time:
self.binnings = time_binnings(column, min_unique=5)
self.bin_width_label.setFixedWidth(45)
else:
self.binnings = decimal_binnings(
column, min_width=self.min_var_resolution(self.var),
add_unique=10, min_unique=5)
self.bin_width_label.setFixedWidth(35)
max_bins = len(self.binnings) - 1
else:
self.binnings = []
max_bins = 0
self.controls.number_of_bins.setMaximum(max_bins)
self.number_of_bins = min(
max_bins, self._user_var_bins.get(self.var, self.number_of_bins))
self._set_bin_width_slider_label()
def recompute_binnings(self):
self.binnings = []
self.bin_widths = []
max_bins = 0
if self.is_valid and self.var.is_continuous:
# binning is computed on valid var data, ignoring any cvar nans
column = self.data.get_column_view(self.var)[0].astype(float)
if np.any(np.isfinite(column)):
binnings = decimal_binnings(column,
min_width=self.min_var_resolution(
self.var),
add_unique=10,
min_unique=5,
return_defs=True)[::-1]
self.binnings = [get_bins(bin) for bin in binnings]
self.bin_widths = [bin.width for bin in binnings]
max_bins = len(self.binnings) - 1
self.controls.number_of_bins.setMaximum(max_bins)
self.number_of_bins = min(
max_bins, self._user_var_bins.get(self.var, self.number_of_bins))
self._set_bin_width_slider_label()
