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[WIP] Add value_labels option to bar plots #496

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24 changes: 18 additions & 6 deletions hvplot/converter.py
Original file line number Diff line number Diff line change
Expand Up @@ -262,7 +262,7 @@ class HoloViewsConverter(object):
'polygons' : ['logz', 'c'],
'labels' : ['text', 'c', 'xoffset', 'yoffset', 'text_font', 'text_font_size'],
'kde' : ['bw_method', 'ind', 'bandwidth', 'cut', 'filled'],
'bivariate': ['bandwidth', 'cut', 'filled', 'levels']
'bivariate': ['bandwidth', 'cut', 'filled', 'levels'],
}

_kind_mapping = {
Expand Down Expand Up @@ -311,7 +311,7 @@ def __init__(self, data, x, y, kind=None, by=None, use_index=True,
x_sampling=None, y_sampling=None, project=False,
tools=[], attr_labels=None, coastline=False,
tiles=False, sort_date=True, check_symmetric_max=1000000,
**kwds):
value_labels=False, **kwds):

# Process data and related options
self._redim = fields
Expand Down Expand Up @@ -375,6 +375,7 @@ def __init__(self, data, x, y, kind=None, by=None, use_index=True,

# Process options
self.stacked = stacked
self.value_labels = value_labels

plot_opts = dict(self._default_plot_opts,
**self._process_plot())
Expand Down Expand Up @@ -1269,7 +1270,7 @@ def _process_chart_args(self, data, x, y, single_y=False, categories=None):
y = self._process_chart_y(data, x, y, single_y)

# sort by date if enabled and x is a date
if x is not None and self.sort_date and self.datatype == 'pandas':
if x is not None and not isinstance(x, list) and self.sort_date and self.datatype == 'pandas':
from pandas.api.types import is_datetime64_any_dtype as is_datetime
if x in self.indexes:
index = self.indexes.index(x)
Expand Down Expand Up @@ -1383,11 +1384,15 @@ def bar(self, x=None, y=None, data=None):
data, x, y = self._process_chart_args(data, x, y, categories=self.by)
if (x or self.by) and y and (self.by or not isinstance(y, (list, tuple) or len(y) == 1)):
y = y[0] if isinstance(y, (list, tuple)) else y
return self.single_chart(Bars, x, y, data)
obj = self.single_chart(Bars, x, y, data)
if self.value_labels:
labels = Labels(obj.data, obj.kdims + obj.vdims, obj.vdims).opts(text_baseline="bottom")
return obj * labels
return obj
return self._category_plot(Bars, x, list(y), data)

def barh(self, x=None, y=None, data=None):
return self.bar(x, y, data).opts('Bars', invert_axes=True)
return self.bar(x, y, data).opts('Bars', invert_axes=True).opts("Labels", text_align="left", text_baseline="middle")

##########################
# Statistical charts #
Expand Down Expand Up @@ -1608,7 +1613,14 @@ def labels(self, x=None, y=None, data=None):
self.use_index = False
data, x, y = self._process_chart_args(data, x, y, single_y=True)

text = self.kwds.get('text', [c for c in data.columns if c not in (x, y)][0])
text = self.kwds.get('text', None)
if text is None:
unused_cols = [c for c in data.columns if c not in (x, y)]
if len(unused_cols) > 0:
text = unused_cols[0]
else:
text = y

kdims, vdims = self._get_dimensions([x, y], [text])
opts = self._get_opts('Labels')
return Labels(data, kdims, vdims).redim(**self._redim).opts(**opts)
Expand Down