def test_String(self):
p = String()
with pytest.raises(ValueError) as e:
p.validate(10)
assert matches(str(e.value), r"expected a value of type str, got 10 of type int")
def test_String(self):
p = String()
with pytest.raises(ValueError) as e:
p.validate(10)
assert not str(e).endswith("ValueError")
class Opts(Options):
""" This is an Options class """
host = String(default="localhost", help="a host to connect to")
port = Int(default=5890, help="a port to connect to")
class HP(HasProps):
foo = Int(default=10)
bar = String()
class Perspective(HTMLBox):
aggregates = Either(Dict(String, Any), Null())
split_by = Either(List(String), Null())
columns = Either(List(Either(String, Null)), Null)
expressions = Either(List(String), Null())
editable = Nullable(Bool())
filters = Either(List(Any), Null())
plugin = String()
plugin_config = Either(Dict(String, Any), Null)
group_by = Either(List(String), Null())
selectable = Nullable(Bool())
schema = Dict(String, String)
sort = Either(List(List(String)), Null())
source = Instance(ColumnDataSource)
toggle_config = Bool(True)
theme = String()
# pylint: disable=line-too-long
__javascript__ = [
"https://unpkg.com/@finos/[email protected]/dist/umd/perspective.js",
"https://unpkg.com/@finos/[email protected]/dist/umd/perspective-viewer.js",
"https://unpkg.com/@finos/[email protected]/dist/umd/perspective-viewer-datagrid.js",
"https://unpkg.com/@finos/[email protected]/dist/umd/perspective-viewer-d3fc.js",
]
__js_skip__ = {
"perspective": __javascript__,
}
__js_require__ = {
"paths": {
"perspective":
"https://unpkg.com/@finos/[email protected]/dist/umd/perspective",
"perspective-viewer":
"https://unpkg.com/@finos/[email protected]/dist/umd/perspective-viewer",
"perspective-viewer-datagrid":
"https://unpkg.com/@finos/[email protected]/dist/umd/perspective-viewer-datagrid",
"perspective-viewer-d3fc":
"https://unpkg.com/@finos/[email protected]/dist/umd/perspective-viewer-d3fc",
},
"exports": {
"perspective": "perspective",
"perspective-viewer": "PerspectiveViewer",
"perspective-viewer-datagrid": "PerspectiveViewerDatagrid",
"perspective-viewer-d3fc": "PerspectiveViewerD3fc",
},
}
__css__ = [
"https://unpkg.com/@finos/[email protected]/dist/css/themes.css"
]
class SomeModel(Model):
a = Int(12)
b = String("hello")
c = List(Int, [1, 2, 3])
class DataTabulator(HTMLBox):
"""A Bokeh Model that enables easy use of Tabulator tables
See http://tabulator.info/
"""
aggregators = Dict(String, String)
buttons = Dict(String, String)
configuration = Dict(String, Any)
columns = List(Instance(TableColumn),
help="""
The list of child column widgets.
""")
download = Bool(default=False)
children = Dict(Int, Instance(LayoutDOM))
editable = Bool(default=True)
expanded = List(Int)
filename = String(default="table.csv")
filters = List(Any)
follow = Bool(True)
frozen_rows = List(Int)
groupby = List(String)
hidden_columns = List(String)
indexes = List(String)
layout = Enum('fit_data',
'fit_data_fill',
'fit_data_stretch',
'fit_data_table',
'fit_columns',
default="fit_data")
source = Instance(ColumnDataSource)
styles = Dict(
String,
Either(
String,
Dict(Int, Dict(Int, List(Either(String, Tuple(String, String)))))))
pagination = Nullable(String)
page = Nullable(Int)
page_size = Int()
max_page = Int()
sorters = List(Dict(String, String))
select_mode = Any()
selectable_rows = Nullable(List(Int))
theme = Enum(*TABULATOR_THEMES, default="simple")
theme_url = String(default=THEME_URL)
__css_raw__ = CSS_URLS
@classproperty
def __css__(cls):
cls.__css_raw__ = [
url for url in cls.__css_raw__
if 'simple' in url or len(cls.__css_raw__) == 1
]
return bundled_files(cls, 'css')
__javascript_raw__ = [JS_SRC, MOMENT_SRC]
@classproperty
def __javascript__(cls):
return bundled_files(cls)
@classproperty
def __js_skip__(cls):
return {
'Tabulator': cls.__javascript__[:1],
'moment': cls.__javascript__[1:]
}
__js_require__ = {
'paths': {
'tabulator': JS_SRC[:-3],
'moment': MOMENT_SRC[:-3]
},
'exports': {
'tabulator': 'Tabulator',
'moment': 'moment'
}
}
class BoxGlyph(AggregateGlyph):
"""Summarizes the distribution with a collection of glyphs.
A box glyph produces one "box" for a given array of vales. The box
is made up of multiple other child composite glyphs (intervals,
scatter) and directly produces glyph renderers for the whiskers,
as well.
"""
q1 = Float(help="""Derived value for 25% of all values.""")
q2 = Float(help="""Derived value for 50% of all values.""")
q3 = Float(help="""Derived value for 75% of all values.""")
iqr = Float()
w0 = Float(help='Lower whisker')
w1 = Float(help='Upper whisker')
q2_glyph = Instance(QuartileGlyph)
q3_glyph = Instance(QuartileGlyph)
whisker_glyph = Instance(GlyphRenderer)
outliers = Either(Bool, Instance(PointGlyph))
marker = String(default='circle')
whisker_width = Float(default=0.3)
whisker_line_width = Float(default=2)
whisker_span_line_width = Float(default=2)
whisker_color = String(default='black')
outlier_fill_color = String(default='red')
outlier_line_color = String(default='red')
outlier_size = Float(default=5)
bar_color = String(default='DimGrey')
def __init__(self, label, values, outliers=True, **kwargs):
width = kwargs.pop('width', None)
bar_color = kwargs.pop('color', None) or kwargs.get(
'bar_color', None) or self.lookup('bar_color').class_default()
kwargs['outliers'] = kwargs.pop('outliers', None) or outliers
kwargs['label'] = label
kwargs['values'] = values
x_label = kwargs.get('x_label')
kwargs['q2_glyph'] = QuartileGlyph(label=label,
x_label=x_label,
values=values,
interval1=0.25,
interval2=0.5,
width=width,
color=bar_color)
kwargs['q3_glyph'] = QuartileGlyph(label=label,
x_label=x_label,
values=values,
interval1=0.5,
interval2=0.75,
width=width,
color=bar_color)
super(BoxGlyph, self).__init__(**kwargs)
self.setup()
def build_renderers(self):
"""Yields all renderers that make up the BoxGlyph."""
self.calc_quartiles()
outlier_values = self.values[((self.values < self.w0) |
(self.values > self.w1))]
self.whisker_glyph = GlyphRenderer(
glyph=Segment(x0='x0s',
y0='y0s',
x1='x1s',
y1='y1s',
line_width=self.whisker_line_width,
line_color=self.whisker_color))
if len(outlier_values) > 0 and self.outliers:
self.outliers = PointGlyph(label=self.label,
y=outlier_values,
x=[self.get_dodge_label()] *
len(outlier_values),
line_color=self.outlier_line_color,
fill_color=self.outlier_fill_color,
size=self.outlier_size,
marker=self.marker)
for comp_glyph in self.composite_glyphs:
for renderer in comp_glyph.renderers:
yield renderer
yield self.whisker_glyph
def calc_quartiles(self):
"""Sets all derived stat properties of the BoxGlyph."""
self.q1 = self.q2_glyph.start
self.q2 = self.q2_glyph.end
self.q3 = self.q3_glyph.end
self.iqr = self.q3 - self.q1
self.w0 = self.q1 - (1.5 * self.iqr)
self.w1 = self.q3 + (1.5 * self.iqr)
def build_source(self):
"""Calculate stats and builds and returns source for whiskers."""
self.calc_quartiles()
x_label = self.get_dodge_label()
x_w0_label = self.get_dodge_label(shift=(self.whisker_width / 2.0))
x_w1_label = self.get_dodge_label(shift=-(self.whisker_width / 2.0))
# span0, whisker bar0, span1, whisker bar1
x0s = [x_label, x_w0_label, x_label, x_w0_label]
y0s = [self.w0, self.w0, self.q3, self.w1]
x1s = [x_label, x_w1_label, x_label, x_w1_label]
y1s = [self.q1, self.w0, self.w1, self.w1]
return dict(x0s=x0s, y0s=y0s, x1s=x1s, y1s=y1s)
def _set_sources(self):
"""Set the column data source on the whisker glyphs."""
self.whisker_glyph.data_source = self.source
def get_extent(self, func, prop_name):
return func([
getattr(renderer, prop_name) for renderer in self.composite_glyphs
])
@property
def composite_glyphs(self):
"""Returns list of composite glyphs, excluding the regular glyph renderers."""
comp_glyphs = [self.q2_glyph, self.q3_glyph]
if isinstance(self.outliers, PointGlyph):
comp_glyphs.append(self.outliers)
return comp_glyphs
@property
def x_max(self):
return self.get_extent(max, 'x_max') + self.right_buffer
@property
def x_min(self):
return self.get_extent(min, 'x_min') - self.left_buffer
@property
def y_max(self):
return max(self.w1, self.get_extent(max, 'y_max')) + self.top_buffer
@property
def y_min(self):
return min(self.w0, self.get_extent(min, 'y_min')) - self.bottom_buffer
class Perspective(HTMLBox):
aggregates = Either(Dict(String, Any), Null())
column_pivots = Either(List(String), Null())
columns = Either(List(String), Null)
computed_columns = Either(List(String), Null())
editable = Nullable(Bool())
filters = Either(List(Any), Null())
plugin = String()
plugin_config = Either(Dict(String, Any), Null)
row_pivots = Either(List(String), Null())
selectable = Nullable(Bool())
sort = Either(List(List(String)), Null())
source = Instance(ColumnDataSource)
toggle_config = Bool(True)
theme = String()
# pylint: disable=line-too-long
__javascript__ = [
"https://unpkg.com/@finos/[email protected]/dist/umd/perspective.js",
"https://unpkg.com/@finos/[email protected]/dist/umd/perspective-viewer.js",
"https://unpkg.com/@finos/[email protected]/dist/umd/perspective-viewer-datagrid.js",
"https://unpkg.com/@finos/[email protected]/dist/umd/perspective-viewer-hypergrid.js",
"https://unpkg.com/@finos/[email protected]/dist/umd/perspective-viewer-d3fc.js",
]
__js_skip__ = {
"perspective": __javascript__,
}
__js_require__ = {
"paths": {
"perspective":
"https://unpkg.com/@finos/[email protected]/dist/umd/perspective",
"perspective-viewer":
"https://unpkg.com/@finos/[email protected]/dist/umd/perspective-viewer",
"perspective-viewer-datagrid":
"https://unpkg.com/@finos/[email protected]/dist/umd/perspective-viewer-datagrid",
"perspective-viewer-hypergrid":
"https://unpkg.com/@finos/[email protected]/dist/umd/perspective-viewer-hypergrid",
"perspective-viewer-d3fc":
"https://unpkg.com/@finos/[email protected]/dist/umd/perspective-viewer-d3fc",
},
"exports": {
"perspective": "Perspective",
"perspective-viewer": "PerspectiveViewer",
"perspective-viewer-datagrid": "PerspectiveViewerDatagrid",
"perspective-viewer-hypergrid": "PerspectiveViewerHypergrid",
"perspective-viewer-d3fc": "PerspectiveViewerD3fc",
},
}
__css__ = [
"https://unpkg.com/@finos/[email protected]/dist/umd/all-themes.css"
]
class BinGlyph(XyGlyph):
"""Represents a group of data that was aggregated and is represented by a glyph.
"""
bins = Instance(Bins)
column = String()
stat = String()
glyph_name = String()
glyphs = {'rect': Rect}
width = Float()
height = Float()
def __init__(self,
x,
y,
values,
column=None,
stat='count',
glyph='rect',
width=1,
height=1,
**kwargs):
df = pd.DataFrame(dict(x_vals=x, y_vals=y, values_vals=values))
df.drop_duplicates(inplace=True)
kwargs['x'] = df.x_vals
kwargs['y'] = df.y_vals
kwargs['values'] = df.values_vals
kwargs['column'] = column
kwargs['stat'] = stat
kwargs['glyph_name'] = glyph
kwargs['height'] = height
kwargs['width'] = width
super(XyGlyph, self).__init__(**kwargs)
self.setup()
def build_source(self):
return {'x': self.x, 'y': self.y, 'values': self.values}
def build_renderers(self):
glyph_class = self.glyphs[self.glyph_name]
glyph = glyph_class(x='x',
y='y',
height=self.height,
width=self.width,
fill_color=self.fill_color,
line_color=self.line_color,
dilate=True)
yield GlyphRenderer(glyph=glyph)
@property
def x_max(self):
return self.get_data_range('x')[1] + self.width / 2.0
@property
def x_min(self):
return self.get_data_range('x')[0] - self.width / 2.0
@property
def y_max(self):
return self.get_data_range('y')[1] + self.height / 2.0
@property
def y_min(self):
return self.get_data_range('y')[0] - self.height / 2.0
def get_data_range(self, col):
data = self.source.data[col]
if ChartDataSource.is_number(data):
return min(data), max(data)
else:
return 1, len(data.drop_duplicates())
class AggregateGlyph(NestedCompositeGlyph):
"""A base composite glyph for aggregating an array.
Implements default stacking and dodging behavior that other composite
glyphs can inherit.
"""
x_label = String()
x_label_value = Any()
stack_label = String()
stack_shift = Float(default=0.0)
dodge_label = String(
help="""Where on the scale the glyph should be placed.""")
dodge_shift = Float(default=None)
agg = Instance(Stat, default=Sum())
span = Float(help="""The range of values represented by the aggregate.""")
def __init__(self, x_label=None, **kwargs):
if x_label is not None:
kwargs['x_label_value'] = x_label
if not isinstance(x_label, str):
x_label = str(x_label)
kwargs['x_label'] = x_label
super(AggregateGlyph, self).__init__(**kwargs)
def get_dodge_label(self, shift=0.0):
"""Generate the label defining an offset in relation to a position on a scale."""
if self.dodge_shift is None:
shift_str = ':' + str(0.5 + shift)
elif self.dodge_shift is not None:
shift_str = ':' + str(self.dodge_shift + shift)
else:
shift_str = ''
return str(label_from_index_dict(self.x_label)) + shift_str
def filter_glyphs(self, glyphs):
"""Return only the glyphs that are of the same class."""
return [glyph for glyph in glyphs if isinstance(glyph, self.__class__)]
@staticmethod
def groupby(glyphs, prop):
"""Returns a dict of `CompositeGlyph`s, grouped by unique values of prop.
For example, if all glyphs had a value of 'a' or 'b' for glyph.prop, the dict
would contain two keys, 'a' and 'b', where each value is a list of the glyphs
that had each of the values.
"""
grouped = defaultdict(list)
labels = [getattr(glyph, prop) for glyph in glyphs]
labels = [
tuple(label.values()) if isinstance(label, dict) else label
for label in labels
]
[grouped[label].append(glyph) for label, glyph in zip(labels, glyphs)]
return grouped
def __stack__(self, glyphs):
"""Apply relative shifts to the composite glyphs for stacking."""
if self.stack_label is not None:
filtered_glyphs = self.filter_glyphs(glyphs)
grouped = self.groupby(filtered_glyphs, 'x_label')
for index, group in iteritems(grouped):
# separate the negative and positive aggregates into separate groups
neg_group = [glyph for glyph in group if glyph.span < 0]
pos_group = [glyph for glyph in group if glyph.span >= 0]
# apply stacking to each group separately
for group in [neg_group, pos_group]:
shift = []
for i, glyph in enumerate(group):
# save off the top of each rect's height
shift.append(glyph.span)
if i > 0:
glyph.stack_shift = sum(shift[0:i])
glyph.refresh()
def __dodge__(self, glyphs):
"""Apply relative shifts to the composite glyphs for dodging."""
if self.dodge_label is not None:
filtered_glyphs = self.filter_glyphs(glyphs)
grouped = self.groupby(filtered_glyphs, 'dodge_label')
# calculate transformations
step = np.linspace(0, 1.0, len(grouped.keys()) + 1, endpoint=False)
width = min(0.2, (1. / len(grouped.keys()))**1.1)
# set bar attributes and re-aggregate
for i, (index, group) in enumerate(iteritems(grouped)):
for glyph in group:
glyph.dodge_shift = step[i + 1]
glyph.width = width
glyph.refresh()
class DummyOpts(Options):
foo = String(default="thing")
bar = Nullable(Int())
class DupeProps(hp.HasProps):
bar = AngleSpec()
bar_units = String()
def test_String(self, detail):
p = String()
with pytest.raises(ValueError) as e:
p.validate(10, detail)
assert (str(e.value) == "") == (not detail)
class FooUnrelated(HasProps):
x = Int(12)
y = String("hello")
z = List(Int, [1, 2, 3])
class IsDelegate(HasProps):
x = Int(12)
y = String("hello")
class Foo(HasProps):
x = Int(12)
y = String("hello")
z = List(Int, [1, 2, 3])
zz = Dict(String, Int)
s = Nullable(String(None))
class Base(HasProps):
x = Int(12)
y = String("hello")
class SomeModelToJson(Model):
child = Instance(Model)
foo = Int()
bar = String()
class Foo(HasProps):
x = Int(12)
y = Enum("red", "blue", "green")
z = String("blah")
class _TestModel2(HasProps):
x = Int(12)
y = String("hello")
z = List(Int, [1, 2, 3])
zz = Dict(String, Int)
s = String(None)
class NotSerialized(HasProps):
x = Int(12, serialized=False)
y = String("hello")
class EmbedTestUtilModel(Model):
a = Int(12)
b = String("hello")
c = List(Int, [1, 2, 3])
class Readonly(HasProps):
x = Int(12, readonly=True) # with default
y = Nullable(Int(), readonly=True) # without default
z = String("hello")
class ModelThatOverridesName(Model):
name = String()
class IncludeDefaultsKwargsTest(HasProps):
x = Int(12)
y = String("hello")
def test_String(self, detail):
p = String()
with pytest.raises(ValueError) as e:
p.validate(10, detail)
assert str(e).endswith("ValueError") == (not detail)
class IncludeDefaultsSetToSameTest(HasProps):
x = Int(12)
y = String("hello")
class DownloadButton(Button):
data = Instance(CustomJS)
filename = String(default="data.bin")
mime_type = String(default="application/octet-stream")
class SubOfThemedModel(ThemedModel):
another_string = String("world")
