code: def __init__(self, df, color_from_user, *args):
      ", ".join(str(c) for c in list(df.columns))
      message = f"""
  This does not look like a valid color argument: `{color_from_user}`.
  
  The color argument can be:
  
  * A hex string like "#ffaa00" or "#ffaa0088".
  * An RGB or RGBA tuple with the red, green, blue, and alpha
    components specified as ints from 0 to 255 or floats from 0.0 to
    1.0.
  * The name of a column.
  * Or a list of colors, matching the number of y columns to draw.
          """
      super().__init__(message, *args)
  
imports: from __future__ import annotations
  from contextlib import nullcontext
  from datetime import date
  from enum import Enum
  from typing import TYPE_CHECKING, Any, Collection, Dict, List, Sequence, Tuple, cast
  import pandas
  from pandas.api.types import infer_dtype, is_integer_dtype
  from typing_extensions import Literal
  import streamlit.elements.arrow_vega_lite
  from streamlit import type_util
  from streamlit.color_util import Color, is_color_like, is_color_tuple_like, is_hex_color_like, to_css_color
  from streamlit.elements.altair_utils import AddRowsMetadata
  from streamlit.elements.arrow import Data
  from streamlit.elements.utils import last_index_for_melted_dataframes
  from streamlit.errors import Error, StreamlitAPIException
  from streamlit.proto.ArrowVegaLiteChart_pb2 import ArrowVegaLiteChart
  from streamlit.runtime.metrics_util import gather_metrics
label_desc: Use image node_id 1 to create a new StreamlitInvalidColorError object from inherited base classes: StreamlitAPIException with example: obj = StreamlitInvalidColorError(df, color_from_user)