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vastorbit.VastFrame.hist

VastFrame.hist(columns: Annotated[str | list[str], 'STRING representing one column or a list of columns'], method: Literal[None, 'density', 'count', 'avg', 'min', 'max', 'sum'] | str = 'density', of: str | None = None, h: Annotated[int | float | Decimal, 'Python Numbers'] | None = None, chart: PlottingBase | TableSample | Axes | mFigure | Figure | None = None, **style_kwargs) PlottingBase | TableSample | Axes | mFigure | Figure

Draws the histograms of the input VastColumns based on an aggregation.

Parameters:
  • columns (SQLColumns) – list of the VastColumns names. The list must have less than 5 elements.

  • method (str, optional) –

    The method used to aggregate the data.

    • count:

      Number of elements.

    • density:

      Percentage of the distribution.

    • mean:

      Average of the VastColumns of.

    • min:

      Minimum of the VastColumns of.

    • max:

      Maximum of the VastColumns of.

    • sum:

      Sum of the VastColumns of.

    • q%:

      q Quantile of the VastColumns of (ex: 50% to get the median).

    It can also be a cutomized aggregation, for example: AVG(column1) + 5

  • of (str, optional) – The VastColumns used to compute the aggregation.

  • h (tuple, optional) – Interval width of the input VastColumns. Optimized h will be computed if the parameter is empty or invalid.

  • chart (PlottingObject, optional) – The chart object to plot on.

  • **style_kwargs – Any optional parameter to pass to the plotting functions.

Returns:

Plotting Object.

Return type:

obj

Examples

Note

The below example is a very basic one. For other more detailed examples and customization options, please see Histogram

Let’s begin by importing vastorbit.

import vastorbit as vo

Let’s also import numpy to create a dataset.

import numpy as np

We can create a variable N to fix the size:

N = 50

Let’s generate a dataset using the following data.

data = vo.VastFrame(
    {
        "score1": np.random.normal(5, 1, N),
        "score2": np.random.normal(8, 1.5, N),
        "score3": np.random.normal(10, 2, N),
    }
)

Below are examples of two types of hist plots:

  • Single

  • Multi

data.hist(["score1"])
data.hist(columns = ["score1", "score2"])

See also

VastFrame.bar() : Bar Chart.
VastFrame.barh() : Horizontal Bar Chart.
VastColumn.hist() : Histogram.