allow to play with background estimation
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@@ -327,8 +327,8 @@ def crop_array(data_array, headers, error_array=None, data_mask=None, step=5,
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#fig.suptitle(savename+'_'+filt+'_crop_region')
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fig.savefig(plots_folder+savename+'_'+filt+'_crop_region.png',
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bbox_inches='tight')
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plot_obs(data_array, headers, vmin=data_array.min(),
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vmax=data_array.max(), rectangle=[rectangle,]*len(headers),
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plot_obs(data_array, headers, vmin=data_array[data_array>0.].min(),
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vmax=data_array[data_array>0.].max(), rectangle=[rectangle,]*len(headers),
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savename=savename+'_crop_region',plots_folder=plots_folder)
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plt.show()
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@@ -436,6 +436,10 @@ def get_error(data_array, headers, error_array=None, data_mask=None,
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If int, number of bins for the counts/s histogram.
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If tuple, shape of the sub-image to look for. Must be odd.
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Defaults to None.
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subtract_error : float or bool, optional
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If float, factor to which the estimated background should be multiplied
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If False the background is not subtracted.
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Defaults to True (factor = 1.).
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display : boolean, optional
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If True, data_array will be displayed with a rectangle around the
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sub-image selected for background computation.
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