338 lines
12 KiB
Python
338 lines
12 KiB
Python
# Copyright (c) Streamlit Inc. (2018-2022) Snowflake Inc. (2022)
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from dataclasses import dataclass
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from textwrap import dedent
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from typing import (
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TYPE_CHECKING,
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Any,
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Callable,
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Generic,
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List,
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Optional,
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Sequence,
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Union,
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cast,
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overload,
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)
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from streamlit.elements.form import current_form_id
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from streamlit.elements.utils import (
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check_callback_rules,
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check_session_state_rules,
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get_label_visibility_proto_value,
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)
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from streamlit.errors import StreamlitAPIException
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from streamlit.proto.MultiSelect_pb2 import MultiSelect as MultiSelectProto
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from streamlit.runtime.metrics_util import gather_metrics
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from streamlit.runtime.scriptrunner import ScriptRunContext, get_script_run_ctx
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from streamlit.runtime.state import (
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WidgetArgs,
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WidgetCallback,
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WidgetKwargs,
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register_widget,
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)
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from streamlit.type_util import (
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Key,
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LabelVisibility,
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OptionSequence,
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T,
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ensure_indexable,
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is_iterable,
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is_type,
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maybe_raise_label_warnings,
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to_key,
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)
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if TYPE_CHECKING:
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from streamlit.delta_generator import DeltaGenerator
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@overload
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def _check_and_convert_to_indices( # type: ignore[misc]
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opt: Sequence[Any], default_values: None
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) -> Optional[List[int]]:
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...
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@overload
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def _check_and_convert_to_indices(
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opt: Sequence[Any], default_values: Union[Sequence[Any], Any]
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) -> List[int]:
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...
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def _check_and_convert_to_indices(
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opt: Sequence[Any], default_values: Union[Sequence[Any], Any, None]
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) -> Optional[List[int]]:
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"""Perform validation checks and return indices based on the default values."""
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if default_values is None and None not in opt:
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return None
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if not isinstance(default_values, list):
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# This if is done before others because calling if not x (done
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# right below) when x is of type pd.Series() or np.array() throws a
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# ValueError exception.
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if is_type(default_values, "numpy.ndarray") or is_type(
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default_values, "pandas.core.series.Series"
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):
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default_values = list(cast(Sequence[Any], default_values))
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elif not default_values or default_values in opt:
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default_values = [default_values]
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else:
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default_values = list(default_values)
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for value in default_values:
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if value not in opt:
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raise StreamlitAPIException(
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"Every Multiselect default value must exist in options"
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)
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return [opt.index(value) for value in default_values]
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def _get_default_count(default: Union[Sequence[Any], Any, None]) -> int:
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if default is None:
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return 0
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if not is_iterable(default):
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return 1
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return len(cast(Sequence[Any], default))
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def _get_over_max_options_message(current_selections: int, max_selections: int):
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curr_selections_noun = "option" if current_selections == 1 else "options"
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max_selections_noun = "option" if max_selections == 1 else "options"
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return f"""
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Multiselect has {current_selections} {curr_selections_noun} selected but `max_selections`
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is set to {max_selections}. This happened because you either gave too many options to `default`
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or you manipulated the widget's state through `st.session_state`. Note that
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the latter can happen before the line indicated in the traceback.
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Please select at most {max_selections} {max_selections_noun}.
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"""
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@dataclass
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class MultiSelectSerde(Generic[T]):
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options: Sequence[T]
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default_value: List[int]
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def serialize(self, value: List[T]) -> List[int]:
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return _check_and_convert_to_indices(self.options, value)
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def deserialize(
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self,
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ui_value: Optional[List[int]],
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widget_id: str = "",
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) -> List[T]:
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current_value: List[int] = (
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ui_value if ui_value is not None else self.default_value
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)
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return [self.options[i] for i in current_value]
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class MultiSelectMixin:
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@gather_metrics("multiselect")
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def multiselect(
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self,
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label: str,
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options: OptionSequence[T],
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default: Optional[Any] = None,
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format_func: Callable[[Any], Any] = str,
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key: Optional[Key] = None,
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help: Optional[str] = None,
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on_change: Optional[WidgetCallback] = None,
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args: Optional[WidgetArgs] = None,
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kwargs: Optional[WidgetKwargs] = None,
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*, # keyword-only arguments:
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disabled: bool = False,
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label_visibility: LabelVisibility = "visible",
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max_selections: Optional[int] = None,
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) -> List[T]:
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r"""Display a multiselect widget.
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The multiselect widget starts as empty.
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Parameters
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----------
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label : str
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A short label explaining to the user what this select widget is for.
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The label can optionally contain Markdown and supports the following
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elements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.
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This also supports:
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* Emoji shortcodes, such as ``:+1:`` and ``:sunglasses:``.
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For a list of all supported codes,
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see https://share.streamlit.io/streamlit/emoji-shortcodes.
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* LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"
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must be on their own lines). Supported LaTeX functions are listed
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at https://katex.org/docs/supported.html.
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* Colored text, using the syntax ``:color[text to be colored]``,
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where ``color`` needs to be replaced with any of the following
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supported colors: blue, green, orange, red, violet.
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Unsupported elements are unwrapped so only their children (text contents) render.
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Display unsupported elements as literal characters by
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backslash-escaping them. E.g. ``1\. Not an ordered list``.
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For accessibility reasons, you should never set an empty label (label="")
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but hide it with label_visibility if needed. In the future, we may disallow
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empty labels by raising an exception.
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options : Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index
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Labels for the select options. This will be cast to str internally
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by default. For pandas.DataFrame, the first column is selected.
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default: [V], V, or None
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List of default values. Can also be a single value.
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format_func : function
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Function to modify the display of selectbox options. It receives
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the raw option as an argument and should output the label to be
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shown for that option. This has no impact on the return value of
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the multiselect.
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key : str or int
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An optional string or integer to use as the unique key for the widget.
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If this is omitted, a key will be generated for the widget
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based on its content. Multiple widgets of the same type may
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not share the same key.
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help : str
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An optional tooltip that gets displayed next to the multiselect.
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on_change : callable
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An optional callback invoked when this multiselect's value changes.
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args : tuple
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An optional tuple of args to pass to the callback.
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kwargs : dict
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An optional dict of kwargs to pass to the callback.
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disabled : bool
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An optional boolean, which disables the multiselect widget if set
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to True. The default is False. This argument can only be supplied
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by keyword.
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label_visibility : "visible" or "hidden" or "collapsed"
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The visibility of the label. If "hidden", the label doesn't show but there
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is still empty space for it above the widget (equivalent to label="").
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If "collapsed", both the label and the space are removed. Default is
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"visible". This argument can only be supplied by keyword.
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max_selections : int
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The max selections that can be selected at a time.
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This argument can only be supplied by keyword.
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Returns
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-------
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list
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A list with the selected options
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Example
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-------
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>>> import streamlit as st
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>>>
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>>> options = st.multiselect(
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... 'What are your favorite colors',
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... ['Green', 'Yellow', 'Red', 'Blue'],
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... ['Yellow', 'Red'])
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>>>
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>>> st.write('You selected:', options)
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.. output::
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https://doc-multiselect.streamlitapp.com/
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height: 420px
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"""
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ctx = get_script_run_ctx()
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return self._multiselect(
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label=label,
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options=options,
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default=default,
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format_func=format_func,
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key=key,
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help=help,
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on_change=on_change,
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args=args,
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kwargs=kwargs,
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disabled=disabled,
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label_visibility=label_visibility,
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ctx=ctx,
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max_selections=max_selections,
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)
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def _multiselect(
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self,
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label: str,
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options: OptionSequence[T],
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default: Union[Sequence[Any], Any, None] = None,
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format_func: Callable[[Any], Any] = str,
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key: Optional[Key] = None,
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help: Optional[str] = None,
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on_change: Optional[WidgetCallback] = None,
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args: Optional[WidgetArgs] = None,
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kwargs: Optional[WidgetKwargs] = None,
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*, # keyword-only arguments:
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disabled: bool = False,
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label_visibility: LabelVisibility = "visible",
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ctx: Optional[ScriptRunContext] = None,
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max_selections: Optional[int] = None,
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) -> List[T]:
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key = to_key(key)
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check_callback_rules(self.dg, on_change)
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check_session_state_rules(default_value=default, key=key)
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opt = ensure_indexable(options)
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maybe_raise_label_warnings(label, label_visibility)
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indices = _check_and_convert_to_indices(opt, default)
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multiselect_proto = MultiSelectProto()
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multiselect_proto.label = label
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default_value: List[int] = [] if indices is None else indices
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multiselect_proto.default[:] = default_value
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multiselect_proto.options[:] = [str(format_func(option)) for option in opt]
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multiselect_proto.form_id = current_form_id(self.dg)
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multiselect_proto.max_selections = max_selections or 0
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if help is not None:
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multiselect_proto.help = dedent(help)
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serde = MultiSelectSerde(opt, default_value)
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widget_state = register_widget(
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"multiselect",
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multiselect_proto,
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user_key=key,
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on_change_handler=on_change,
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args=args,
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kwargs=kwargs,
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deserializer=serde.deserialize,
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serializer=serde.serialize,
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ctx=ctx,
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)
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default_count = _get_default_count(widget_state.value)
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if max_selections and default_count > max_selections:
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raise StreamlitAPIException(
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_get_over_max_options_message(default_count, max_selections)
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)
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# This needs to be done after register_widget because we don't want
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# the following proto fields to affect a widget's ID.
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multiselect_proto.disabled = disabled
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multiselect_proto.label_visibility.value = get_label_visibility_proto_value(
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label_visibility
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)
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if widget_state.value_changed:
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multiselect_proto.value[:] = serde.serialize(widget_state.value)
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multiselect_proto.set_value = True
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self.dg._enqueue("multiselect", multiselect_proto)
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return widget_state.value
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@property
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def dg(self) -> "DeltaGenerator":
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"""Get our DeltaGenerator."""
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return cast("DeltaGenerator", self)
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