Source code for vuecore.schemas.basic.histogram

# vuecore/schemas/basic/histogram.py

from typing import Dict, Optional
from pydantic import Field, ConfigDict
from vuecore.schemas.plotly_base import PlotlyBaseConfig


[docs] class HistogramConfig(PlotlyBaseConfig): """ Pydantic model for validating and managing histogram plot configurations, which extends PlotlyBaseConfig. This model serves as a curated API for the most relevant parameters for histogram plots, closely aligned with the `plotly.express.histogram` API (https://plotly.com/python-api-reference/generated/plotly.express.histogram.html). This model includes the most relevant parameters for data mapping, styling, and layout. It ensures that user-provided configurations are type-safe and adhere to the expected structure. The plotting function handles parameters defined here, and also accepts additional Plotly keyword arguments, forwarding them to the appropriate `plotly.express.histogram` or `plotly.graph_objects.Figure` call. """ # General Configuration # Allow extra parameters to pass through to Plotly model_config = ConfigDict(extra="allow") # Data Mapping pattern_shape: Optional[str] = Field( None, description="Column to assign pattern shapes to bars." ) pattern_shape_map: Optional[Dict[str, str]] = Field( None, description="Map values to specific pattern shapes." ) # Styling and Layout marginal: Optional[str] = Field( None, description="Adds a marginal subplot ('rug', 'box', 'violin', 'histogram').", ) opacity: float = Field(0.8, description="Overall opacity of the bars.") orientation: Optional[str] = Field( None, description="Orientation of the bars ('v' for vertical, 'h' for horizontal).", ) barmode: str = Field("relative", description="Mode for grouping bars.") barnorm: Optional[str] = Field( None, description="Normalization mode for stacked bars ('fraction', 'percent')." ) histnorm: Optional[str] = Field( None, description="Normalization mode for the histogram ('percent', 'probability', 'density', 'probability density').", ) histfunc: Optional[str] = Field( "count", description="Function used to aggregate values ('count', 'sum', 'avg', 'min', 'max').", ) cumulative: bool = Field( False, description="If True, histogram values are cumulative." ) nbins: Optional[int] = Field(None, description="Sets the number of bins.") text_auto: bool = Field(False, description="If True, displays text labels on bars.")