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# Wand statistic() function in Python

• Last Updated : 08 May, 2020

Statistic effect is similar to Spread effect, the only difference is that, it replaces each pixel with the result of a mathematical operation performed against neighboring pixel values.The width & height defines the size, or aperture, of the neighboring pixels.

The type of statistic operations can be any of the following:

• ‘maximum’
• ‘mean’
• ‘median’
• ‘minimum’
• ‘mode’
• ‘nonpeak’
• ‘root_mean_square’
• ‘standard_deviation’

Syntax : wand.image.statistic(stat, width, height, channel)

Parameters:

ParameterInput TypeDescription
statbasestringThe type of statistic to calculate. See STATISTIC_TYPES.
widthnumbers.IntegralThe size of neighboring pixels on the X-axis.
heightnumbers.IntegralThe size of neighboring pixels on the Y-axis.
channelbasestringOptional color channel to target.

Input Image: Example 1:
 `# Import Image from wand.image module``from` `wand.image ``import` `Image`` ` `# Read image using Image function``with Image(filename ``=``"koala.jpeg"``) as img:``    ``img.statistic(``"median"``, width ``=` `8``, height ``=` `5``)``    ``img.save(filename ``=``"kl-statistic.jpeg"``)`

Output: Input Image: Example 2:

 `# Import Image from wand.image module``from` `wand.image ``import` `Image`` ` `# Read image using Image function``with Image(filename ``=``"road.jpeg"``) as img:``    ``img.statistic(``"median"``, width ``=` `8``, height ``=` `5``)``    ``img.save(filename ``=``"rd-statistic.jpg"``)`

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