AsymmetricPercentileInterval#

class astropy.visualization.AsymmetricPercentileInterval(lower_percentile=None, upper_percentile=None, n_samples=None)[source]#

Interval based on a keeping a specified fraction of pixels (can be asymmetric).

Parameters:

lower_percentilefloat or None: The lower percentile below which to ignore pixels. If None, then defaults to 0.
upper_percentilefloat or None: The upper percentile above which to ignore pixels. If None, then defaults to 100.
n_samplesint, optional: Maximum number of values to use. If this is specified, and there are more values in the dataset as this, then values are randomly sampled from the array (with replacement).

Methods Summary

`__call__`(values[, clip, out])	Transform values using this interval.
`get_limits`(values)	Return the minimum and maximum value in the interval based on the values provided.

Methods Documentation

__call__(values, clip=True, out=None)#

Transform values using this interval.

The vmin and vmax values are determined by the get_limits method.

The following transformation is then applied to the values:

\[{\rm result} = \frac{{\rm values} - v_{\rm min}} {v_{\rm max} - v_{\rm min}}\]

If clip is True (default), the result is then clipped to the [0:1] range.

Parameters:

valuesarray_like: The input values.
clipbool, optional: If True (default), values outside the [0:1] range are clipped to the [0:1] range.
outndarray, optional: If specified, the output values will be placed in this array (typically used for in-place calculations).

Returns:

get_limits(values)[source]#

Return the minimum and maximum value in the interval based on the values provided.

Parameters:

Returns: