pandas_profiling.config.Plot

pydantic model pandas_profiling.config.Plot

Create a new model by parsing and validating input data from keyword arguments.

Raises ValidationError if the input data cannot be parsed to form a valid model.

Fields

• cat_freq (pandas_profiling.config.CatFrequencyPlot)

• correlation (pandas_profiling.config.CorrelationPlot)

• dpi (int)

• histogram (pandas_profiling.config.Histogram)

• image_format (pandas_profiling.config.ImageType)

• missing (pandas_profiling.config.MissingPlot)

• scatter_threshold (int)

field cat_freq: CatFrequencyPlot = CatFrequencyPlot(show=True, type='bar', max_unique=10, colors=None)

field correlation: CorrelationPlot = CorrelationPlot(cmap='RdBu', bad='#000000')

field dpi: int = 800

field histogram: Histogram = Histogram(bins=50, max_bins=250, x_axis_labels=True)

field image_format: ImageType = ImageType.svg

field missing: MissingPlot = MissingPlot(force_labels=True, cmap='RdBu')

field scatter_threshold: int = 1000