def __init__(self, labels=None, values=None, multi=False, default=None, caption=None):
"""Create a drop down.
Parameters
----------
labels : array-like, optional
List of strings which will be visible to the user.
values : array-like, optional
List of values associated with the labels that are hidden from the user.
multi : bool, optional
If multiple selections are allowed.
caption : str, optional
Heading text.
"""
super(Dropdown, self).__init__(caption=caption)
if labels is None and values is None:
labels = []
values = []
options = [dict(value=value, label=str(label)) for value, label in zip(values, labels)]
self._comp = self._tag.format(
options=jdumps(options),
multi=jsbool(multi),
default=jdumps(default),
)
def __init__(self,
labels: Optional[Sequence[str]] = None,
values: Optional[Sequence[Union[str, int]]] = None,
multi: bool = False,
default: Optional[Union[str, int]] = None) -> None:
"""Create a drop down.
Parameters
----------
labels : array-like, optional
List of strings which will be visible to the user.
values : array-like, optional
List of values associated with the labels that are hidden from the user.
multi : bool, optional
If multiple selections are allowed.
default : str or int, optional
The default selected value.
"""
super().__init__()
if values is not None and labels is not None:
options = [{
'value': value,
'label': str(label)
} for value, label in zip(values, labels)]
else:
options = []
self._comp = self._tag.format(
options=jdumps(options),
multi=jsbool(multi),
default=jdumps(default),
)
def __init__(self, labels: Optional[Sequence[str]] = None,
values: Optional[Sequence[Union[str, int]]] = None, multi: bool = False,
default: Optional[Union[str, int]] = None) -> None:
"""Create a drop down.
Parameters
----------
labels : array-like, optional
List of strings which will be visible to the user.
values : array-like, optional
List of values associated with the labels that are hidden from the user.
multi : bool, optional
If multiple selections are allowed.
default : str or int, optional
The default selected value.
"""
super().__init__()
if values is not None and labels is not None:
options = [{'value': value, 'label': str(label)}
for value, label in zip(values, labels)]
else:
options = []
self._comp = self._tag.format(
options=jdumps(options),
multi=jsbool(multi),
default=jdumps(default),
)
def __init__(self, options, multi=False, caption=''):
super(DropDown, self).__init__()
# options = [dict(value=x, label=str(x)) for x in options]
self._instantiate = self._TAG.format(
options=jdumps(options),
multi='true' if multi else 'false',
uuid="'{}'".format(self._uuid))
self.caption = caption
def __init__(self,
labels=None,
values=None,
multi=False,
default=None,
caption=''):
super(DropDown, self).__init__()
if labels is None and values is None:
labels = []
values = []
options = [
dict(value=value, label=str(label))
for value, label in zip(values, labels)
]
self._instantiate = self._TAG.format(
options=jdumps(options),
multi='true' if multi else 'false',
default=jdumps(default),
uuid="'{}'".format(self._uuid))
self.caption = caption
def __init__(self,
labels=None,
values=None,
multi=False,
default=None,
caption=''):
"""Create a drop down.
Parameters
----------
labels : array-like, optional
List of strings which will be visible to the user.
values : array-like, optional
List of values associated with the labels that are hidden from the user.
multi : bool, optional
If multiple selections are allowed.
caption : str, optional
Heading text.
"""
super(Dropdown, self).__init__()
if labels is None and values is None:
labels = []
values = []
options = [
dict(value=value, label=str(label))
for value, label in zip(values, labels)
]
self._instantiate = self._TAG.format(
options=jdumps(options),
multi='true' if multi else 'false',
default=jdumps(default),
uuid="'{}'".format(self._uuid))
self.caption = caption
def __init__(self, init: Optional[Dict] = None) -> None:
"""Create a Plotly component.
Parameters
----------
init : dict, optional
Initial Plotly data to plot.
"""
super().__init__()
if init is None:
init = dict(data=[], layout={'autosize': False})
self.init = init
self._comp = self._tag.format(init=jdumps(self.init))
def __init__(self, init: Optional[Dict] = None) -> None:
"""Create a Plotly component.
Parameters
----------
init : dict, optional
Initial Plotly data to plot.
"""
super().__init__()
if init is None:
init = dict(data=[], layout={'autosize': False})
self.init = init
self._comp = self._tag.format(
init=jdumps(self.init)
)
def __init__(self, columns=None, results_per_page=10):
"""Create the table, optionally set the columns.
Parameters
----------
columns : list, optional
List of column names to display.
results_per_page : int, optional
Number of rows on each pagination of the table.
"""
super(SmartGrid, self).__init__()
if columns is None:
columns = []
self.columns = columns
self.results_per_page = results_per_page
self._comp = self._tag.format(columns=jdumps(self.columns),
results_per_page=self.results_per_page)
def _instantiate(self):
return self._TAG.format(
uuid="'{}'".format(self._uuid),
init=jdumps(self.init),
)
def _instantiate(self):
return self._TAG.format(uuid="'{}'".format(self._uuid),
columns=jdumps(self.columns),
results_per_page=self.results_per_page)
def test_json():
"""Tests json encoding numpy and pandas."""
assert jdumps(NPARRAY) == jdumps([5, 6])
assert jdumps(NPSCALAR) == jdumps(5)
assert jdumps(DATES) == jdumps(
['2017-01-01T00:00:00', '2017-01-02T00:00:00'])
def test_json():
"""Tests json encoding numpy and pandas."""
assert jdumps(NPARRAY) == jdumps([5, 6])
assert jdumps(NPSCALAR) == jdumps(5)
assert jdumps(DATES) == jdumps(['2017-01-01T00:00:00', '2017-01-02T00:00:00'])
