azimutal_profile¶
-
hcipy.metrics.azimutal_profile(image, num_bins, statistic='mean')¶ Create an azimuthal profile of the image around its center.
- Parameters
- imageField
The image that we want an azimuthal profile from. This image must be two-dimensional.
- num_binsinteger
The number of bins in theta. Bins will be equally distributed in theta.
- statisticstring
The statistic to compute (default is ‘mean’). The following statistics are available: * ‘mean’: compute the mean of values for points within the bin edges. * ‘sum’: compute the sum of values for points within the bin edges. * ‘min’: compute the minimum of values for points within the bin edges. * ‘max’: compute the maximum of values for point within the bin edges.
- Returns
- bin_centersarray_like
The center of each of the bins.
- profilearray_like
The y-values of the resulting azimuthal profile.
- std_profilearray_like
The standard deviation within each bin.
- num_per_binarray_like
The number of samples per bin.
- Raises
- RuntimeError
If the number of bins are negative or zero.
- ValueError
If the statistic is not implemented.