75 lines
2.0 KiB
Python
75 lines
2.0 KiB
Python
from collections.abc import Sequence
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from typing import Any, TypeAlias
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from pandas import DataFrame
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from rich.table import Column, Table
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from rich.text import Text
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from freqtrade.loggers.rich_console import get_rich_console
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TextOrString: TypeAlias = str | Text
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def print_rich_table(
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tabular_data: Sequence[dict[str, Any] | Sequence[TextOrString]],
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headers: Sequence[str],
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summary: str | None = None,
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*,
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justify="right",
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table_kwargs: dict[str, Any] | None = None,
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) -> None:
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table = Table(
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*[c if isinstance(c, Column) else Column(c, justify=justify) for c in headers],
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title=summary,
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**(table_kwargs or {}),
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)
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for row in tabular_data:
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if isinstance(row, dict):
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table.add_row(
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*[
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row[header] if isinstance(row[header], Text) else str(row[header])
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for header in headers
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]
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)
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else:
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row_to_add: list[str | Text] = [r if isinstance(r, Text) else str(r) for r in row]
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table.add_row(*row_to_add)
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console = get_rich_console()
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console.print(table)
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def _format_value(value: Any, *, floatfmt: str) -> str:
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if isinstance(value, float):
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return f"{value:{floatfmt}}"
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return str(value)
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def print_df_rich_table(
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tabular_data: DataFrame,
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headers: Sequence[str],
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summary: str | None = None,
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*,
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show_index=False,
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index_name: str | None = None,
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table_kwargs: dict[str, Any] | None = None,
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) -> None:
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table = Table(title=summary, **(table_kwargs or {}))
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if show_index:
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index_name = str(index_name) if index_name else tabular_data.index.name
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table.add_column(index_name)
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for header in headers:
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table.add_column(header, justify="right")
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for value_list in tabular_data.itertuples(index=show_index):
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row = [_format_value(x, floatfmt=".3f") for x in value_list]
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table.add_row(*row)
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console = get_rich_console()
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console.print(table)
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