Apply an exclude filter to all 1D data sets
ignore( [lo,hi] )
ignore( expr )
Specifies an interval of 1D data to be excluded in all
available data sets in a Sherpa session. To operate on
specific data sets by ID, use the ignore_id command ("ahelp
py.sherpa ignore_id"). To exclude a list of intervals from all
data sets, use ignore_expr.
-
lo: lower bound of the filter;
default=None
-
hi: upper bound of the filter;
default=None
-
expr: a filter expression to ignore an intersection of
filters, e.g. "0.1:5, 6:7". Range filtering allows ":#" and
"#:", which excludes an open-ended range of data up to or
beginning at the given value (#), respectively.
The units for the limits are determined by the "units" field
of the data structure: channels, energy (keV), or wavelength
(angstrom). The value can be obtained by using the
get_analysis command
("ahelp get_analysis").
If the data is binned and the endpoint of the interval falls
within a bin, the entire bin is included in the
filter.
Two-dimensional Data Filtering
To apply an exclude filter to 2D data, use the ignore2d
command ("ahelp ignore2d") or the
ignore2d_id command ("ahelp ignore2d_id").
The function ignore can be called with no arguments, in
which case the filter will ignore all data points on the
grid for all available data set IDs.
Supplying an interval will apply a filter to all available data set IDs.
sherpa> ignore("0.1:5, 6:7")
Ignore the bins between 0.1 and 5 keV and
between 6 and 7 keV.
sherpa> ignore(7.,None)
sherpa> ignore(None, 0.5)
An interval with the default lower bound will
filter all data points on the grid below the specified
upper bound.
An interval with the default upper bound will
filter all data points on the grid above the specified
lower bound.
- py.sherpa
-
get_filter,
group,
ignore2d,
ignore2d_id,
ignore_bad,
ignore_id,
notice,
notice2d,
notice2d_id,
notice_id,
show_filter
|
![[Sherpa Logo]](../imgs/sherpa_logo_navbar.gif){kind=logo}