diff --git a/_sources/moddoc_core.rst.txt b/_sources/moddoc_core.rst.txt index 0f433b34..a6274f63 100644 --- a/_sources/moddoc_core.rst.txt +++ b/_sources/moddoc_core.rst.txt @@ -2216,7 +2216,7 @@ Collection of timestreams indexed by logical detector ID ``G3TimestreamMap( (G3TimestreamMap)arg2)`` - ``G3TimestreamMap( (StringVector)keys, (object)data [, (G3Time)start= [, (G3Time)stop= [, (G3TimestreamUnits)units=spt3g.core.G3TimestreamUnits.None [, (int)compression_level=0 [, (bool)copy_data=True]]]]])`` : + ``G3TimestreamMap( (StringVector)keys, (object)data [, (G3Time)start= [, (G3Time)stop= [, (G3TimestreamUnits)units=spt3g.core.G3TimestreamUnits.None [, (int)compression_level=0 [, (bool)copy_data=True]]]]])`` : Create a timestream map from a numpy array or other numeric python iterable. Each row of the 2D input array will correspond to a single timestream, with the key set to the correspondingly-indexed entry of . If is True (default), the data will be copied into the output data structure. If False, the timestream map will provide a view into the given numpy array. ``G3TimestreamMap( (list)arg2)`` : diff --git a/_sources/moddoc_maps.rst.txt b/_sources/moddoc_maps.rst.txt index aeaa7332..465363cf 100644 --- a/_sources/moddoc_maps.rst.txt +++ b/_sources/moddoc_maps.rst.txt @@ -1385,13 +1385,19 @@ maps and (optionally) polarized weights to store in the output file. FITS readers (e.g. idlastro). If defined, the compression algorithm to be used by the Astropy class astropy.io.fits.CompImageHDU. Can be: 'RICE_1', 'RICE_ONE', 'PLIO_1', 'GZIP_1', 'GZIP_2' or - 'HCOMPRESS_1'. Only GZIP_1 and GZIP_2 are lossless. + 'HCOMPRESS_1'. Only GZIP_1 and GZIP_2 are lossless, although only + for integer data. + quantize_level : float + Floating point quantization level for compression. Higher values result + in more accurate floating point representation, but worse compression + ratio. See the astropy FITS image documention for details: + https://docs.astropy.org/en/stable/io/fits/api/images.html overwrite : bool If True, any existing file with the same name will be ovewritten. *Definition:* - ``SaveMapFrame(frame, output_file=None, hdr=None, compress='GZIP_2', overwrite=False)`` + ``SaveMapFrame(frame, output_file=None, hdr=None, compress=False, quantize_level=16.0, overwrite=False)`` @@ -1975,14 +1981,20 @@ over all pixels. The former produces output that is equivalent to using FITS readers (e.g. idlastro). If defined, the compression algorithm to be used by the Astropy class astropy.io.fits.CompImageHDU. Can be: 'RICE_1', 'RICE_ONE', 'PLIO_1', 'GZIP_1', 'GZIP_2' or - 'HCOMPRESS_1'. Only GZIP_1 and GZIP_2 are lossless. + 'HCOMPRESS_1'. Only GZIP_1 and GZIP_2 are lossless, although only + for integer data. + quantize_level : float + Floating point quantization level for compression. Higher values result + in more accurate floating point representation, but worse compression + ratio. See the astropy FITS image documention for details: + https://docs.astropy.org/en/stable/io/fits/api/images.html hdr : dict If defined, extra keywords to be appened to the FITS header. The dict can contain entries such as ``hdr['NEWKEY'] = 'New value'`` or ``hdr['NEWKEY'] = ('New value', "Comment for New value")``. *Definition:* - ``save_skymap_fits(filename, T, Q=None, U=None, W=None, overwrite=False, compress='GZIP_2', hdr=None)`` + ``save_skymap_fits(filename, T, Q=None, U=None, W=None, overwrite=False, compress=False, quantize_level=16.0, hdr=None)`` diff --git a/moddoc_core.html b/moddoc_core.html index 29acd2a1..7181dc0d 100644 --- a/moddoc_core.html +++ b/moddoc_core.html @@ -1540,7 +1540,7 @@

Frame Objects in spt3g.coreG3TimestreamMap()

G3TimestreamMap( (G3TimestreamMap)arg2)

-
G3TimestreamMap( (StringVector)keys, (object)data [, (G3Time)start=<spt3g.core.G3Time object at 0x7f0f09a4b6d0> [, (G3Time)stop=<spt3g.core.G3Time object at 0x7f0f09a4b740> [, (G3TimestreamUnits)units=spt3g.core.G3TimestreamUnits.None [, (int)compression_level=0 [, (bool)copy_data=True]]]]]) :

Create a timestream map from a numpy array or other numeric python iterable. Each row of the 2D input array will correspond to a single timestream, with the key set to the correspondingly-indexed entry of <keys>. If <copy_data> is True (default), the data will be copied into the output data structure. If False, the timestream map will provide a view into the given numpy array.

+
G3TimestreamMap( (StringVector)keys, (object)data [, (G3Time)start=<spt3g.core.G3Time object at 0x7fd8c1d586d0> [, (G3Time)stop=<spt3g.core.G3Time object at 0x7fd8c1d58740> [, (G3TimestreamUnits)units=spt3g.core.G3TimestreamUnits.None [, (int)compression_level=0 [, (bool)copy_data=True]]]]]) :

Create a timestream map from a numpy array or other numeric python iterable. Each row of the 2D input array will correspond to a single timestream, with the key set to the correspondingly-indexed entry of <keys>. If <copy_data> is True (default), the data will be copied into the output data structure. If False, the timestream map will provide a view into the given numpy array.

G3TimestreamMap( (list)arg2) :

Initialize with keys and values from a Python dictionary: {‘key’:’value’}

diff --git a/moddoc_maps.html b/moddoc_maps.html index be458a5e..e1c8fc98 100644 --- a/moddoc_maps.html +++ b/moddoc_maps.html @@ -1024,13 +1024,19 @@

Modules in spt3g.maps +‘HCOMPRESS_1’. Only GZIP_1 and GZIP_2 are lossless, although only +for integer data.

+ +
quantize_levelfloat

Floating point quantization level for compression. Higher values result +in more accurate floating point representation, but worse compression +ratio. See the astropy FITS image documention for details: +https://docs.astropy.org/en/stable/io/fits/api/images.html

overwritebool

If True, any existing file with the same name will be ovewritten.

-
Definition:

SaveMapFrame(frame, output_file=None, hdr=None, compress='GZIP_2', overwrite=False)

+
Definition:

SaveMapFrame(frame, output_file=None, hdr=None, compress=False, quantize_level=16.0, overwrite=False)

spt3g.maps.map_modules.ApplyWeights

@@ -1449,7 +1455,13 @@

Functions in spt3g.maps +‘HCOMPRESS_1’. Only GZIP_1 and GZIP_2 are lossless, although only +for integer data.

+ +
quantize_levelfloat

Floating point quantization level for compression. Higher values result +in more accurate floating point representation, but worse compression +ratio. See the astropy FITS image documention for details: +https://docs.astropy.org/en/stable/io/fits/api/images.html

hdrdict

If defined, extra keywords to be appened to the FITS header. The dict can contain entries such as hdr['NEWKEY'] = 'New value' or @@ -1457,7 +1469,7 @@

Functions in spt3g.maps

-
Definition:

save_skymap_fits(filename, T, Q=None, U=None, W=None, overwrite=False, compress='GZIP_2', hdr=None)

+
Definition:

save_skymap_fits(filename, T, Q=None, U=None, W=None, overwrite=False, compress=False, quantize_level=16.0, hdr=None)

spt3g.maps.flatten_pol

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