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funtbl - Online in the Cloud

Run funtbl in OnWorks free hosting provider over Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator

This is the command funtbl that can be run in the OnWorks free hosting provider using one of our multiple free online workstations such as Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator

PROGRAM:

NAME


funtbl - extract a table from Funtools ASCII output

SYNOPSIS


funtable [-c cols] [-h] [-n table] [-p prog] [-s sep] <iname>

DESCRIPTION


[NB: This program has been deprecated in favor of the ASCII text processing support in
funtools. You can now perform fundisp on funtools ASCII output files (specifying the table
using bracket notation) to extract tables and columns.]

The funtbl script extracts a specified table (without the header and comments) from a
funtools ASCII output file and writes the result to the standard output. The first non-
switch argument is the ASCII input file name (i.e. the saved output from funcnts, fundisp,
funhist, etc.). If no filename is specified, stdin is read. The -n switch specifies which
table (starting from 1) to extract. The default is to extract the first table. The -c
switch is a space-delimited list of column numbers to output, e.g. -c "1 3 5" will
extract the first three odd-numbered columns. The default is to extract all columns. The
-s switch specifies the separator string to put between columns. The default is a single
space. The -h switch specifies that column names should be added in a header line before
the data is output. Without the switch, no header is prepended. The -p program switch
allows you to specify an awk-like program to run instead of the default (which is host-
specific and is determined at build time). The -T switch will output the data in rdb
format (i.e., with a 2-row header of column names and dashes, and with data columns
separated by tabs). The -help switch will print out a message describing program usage.

For example, consider the output from the following funcnts command:

[sh] funcnts -sr snr.ev "ann 512 512 0 9 n=3"
# source
# data file: /proj/rd/data/snr.ev
# arcsec/pixel: 8
# background
# constant value: 0.000000
# column units
# area: arcsec**2
# surf_bri: cnts/arcsec**2
# surf_err: cnts/arcsec**2

# summed background-subtracted results
upto net_counts error background berror area surf_bri surf_err
---- ------------ --------- ------------ --------- --------- --------- ---------
1 147.000 12.124 0.000 0.000 1600.00 0.092 0.008
2 625.000 25.000 0.000 0.000 6976.00 0.090 0.004
3 1442.000 37.974 0.000 0.000 15936.00 0.090 0.002

# background-subtracted results
reg net_counts error background berror area surf_bri surf_err
---- ------------ --------- ------------ --------- --------- --------- ---------
1 147.000 12.124 0.000 0.000 1600.00 0.092 0.008
2 478.000 21.863 0.000 0.000 5376.00 0.089 0.004
3 817.000 28.583 0.000 0.000 8960.00 0.091 0.003

# the following source and background components were used:
source_region(s)
----------------
ann 512 512 0 9 n=3

reg counts pixels sumcnts sumpix
---- ------------ --------- ------------ ---------
1 147.000 25 147.000 25
2 478.000 84 625.000 109
3 817.000 140 1442.000 249

There are four tables in this output. To extract the last one, you can execute:

[sh] funcnts -s snr.ev "ann 512 512 0 9 n=3" ⎪ funtbl -n 4
1 147.000 25 147.000 25
2 478.000 84 625.000 109
3 817.000 140 1442.000 249

Note that the output has been re-formatted so that only a single space separates each
column, with no extraneous header or comment information.

To extract only columns 1,2, and 4 from the last example (but with a header prepended and
tabs between columns), you can execute:

[sh] funcnts -s snr.ev "ann 512 512 0 9 n=3" ⎪ funtbl -c "1 2 4" -h -n 4 -s "\t"
#reg counts sumcnts
1 147.000 147.000
2 478.000 625.000
3 817.000 1442.000

Of course, if the output has previously been saved in a file named foo.out, the same
result can be obtained by executing:

[sh] funtbl -c "1 2 4" -h -n 4 -s "\t" foo.out
#reg counts sumcnts
1 147.000 147.000
2 478.000 625.000
3 817.000 1442.000

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