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This document contains a summary of the options for processing column-based text files.
Funtools will automatically sense and process "standard" column-based text files as if they were FITS binary tables without any change in Funtools syntax. In particular, you can filter text files using the same syntax as FITS binary tables:
fundisp foo.txt'[cir 512 512 .1]' fundisp -T foo.txt > foo.rdb funtable foo.txt'[pha=1:10,cir 512 512 10]' foo.fits
The first example displays a filtered selection of a text file. The second example converts a text file to an RDB file. The third example converts a filtered selection of a text file to a FITS binary table.
Text files can also be used in Funtools image programs. In this case, you must provide binning parameters (as with raw event files), using the bincols keyword specifier:
bincols=([xname[:tlmin[:tlmax:[binsiz]]]],[yname[:tlmin[:tlmax[:binsiz]]]For example:
funcnts foo'[bincols=(x:1024,y:1024)]' "ann 512 512 0 10 n=10"
Standard text files have the following characteristics:
Examples:
# rdb file foo1 foo2 foo3 foos ---- ---- ---- ---- 1 2.2 3 xxxx 10 20.2 30 yyyy # multiple consecutive whitespace and dashes foo1 foo2 foo3 foos --- ---- ---- ---- 1 2.2 3 xxxx 10 20.2 30 yyyy # comma delims and blank lines foo1,foo2,foo3,foos 1,2.2,3,xxxx 10,20.2,30,yyyy # bar delims with null values foo1|foo2|foo3|foos 1||3|xxxx 10|20.2||yyyy # header-less data 1 2.2 3 xxxx 10 20.2 30 yyyy
The default set of token delimiters consists of spaces, tabs, commas, semi-colons, and vertical bars. Several parsers are used simultaneously to analyze a line of text in different ways. One way of analyzing a line is to allow a combination of spaces, tabs, and commas to be squashed into a single delimiter (no null values between consecutive delimiters). Another way is to allow tab, semi-colon, and vertical bar delimiters to support null values, i.e. two consecutive delimiters implies a null value (e.g. RDB file). A successful parser is one which returns a consistent number of columns for all rows, with each column having a consistent data type. More than one parser can be successful. For now, it is assumed that successful parsers all return the same tokens for a given line. (Theoretically, there are pathological cases, which will be taken care of as needed). Bad parsers are discarded on the fly.
If the header does not exist, then names "col1", "col2", etc. are assigned to the columns to allow filtering. Furthermore, data types for each column are determined by the data types found in the columns of the first data line, and can be one of the following: string, int, and double. Thus, all of the above examples return the following display:
fundisp foo'[foo1>5]' FOO1 FOO2 FOO3 FOOS ---------- --------------------- ---------- ------------ 10 20.20000000 30 yyyy
Comments which precede data rows are converted into header parameters and will be written out as such using funimage or funhead. Two styles of comments are recognized:
1. FITS-style comments have an equal sign "=" between the keyword and value and an optional slash "/" to signify a comment. The strict FITS rules on column positions are not enforced. In addition, strings only need to be quoted if they contain whitespace. For example, the following are valid FITS-style comments:
# fits0 = 100 # fits1 = /usr/local/bin # fits2 = "/usr/local/bin /opt/local/bin" # fits3c = /usr/local/bin /opt/local/bin /usr/bin # fits4c = "/usr/local/bin /opt/local/bin" / path dirNote that the fits3c comment is not quoted and therefore its value is the single token "/usr/local/bin" and the comment is "opt/local/bin /usr/bin". This is different from the quoted comment in fits4c.
2. Free-form comments can have an optional colon separator between the keyword and value. In the absence of quote, all tokens after the keyword are part of the value, i.e. no comment is allowed. If a string is quoted, then slash "/" after the string will signify a comment. For example:
# com1 /usr/local/bin # com2 "/usr/local/bin /opt/local/bin" # com3 /usr/local/bin /opt/local/bin /usr/bin # com4c "/usr/local/bin /opt/local/bin" / path dir # com11: /usr/local/bin # com12: "/usr/local/bin /opt/local/bin" # com13: /usr/local/bin /opt/local/bin /usr/bin # com14c: "/usr/local/bin /opt/local/bin" / path dir
Note that com3 and com13 are not quoted, so the whole string is part of the value, while comz4c and com14c are quoted and have comments following the values.
Some text files have column name and data type information in the header. You can specify the format of column information contained in the header using the "hcolfmt=" specification. See below for a detailed description.
Multiple tables are supported in a single file. If an RDB-style file is sensed, then a ^L (vertical tab) will signify end of table. Otherwise, an end of table is sensed when a new header (i.e., all alphanumeric columns) is found. (Note that this heuristic does not work for single column tables where the column type is ASCII and the table that follows also has only one column.) You also can specify characters that signal an end of table condition using the eot= keyword. See below for details.
You can access the nth table (starting from 1) in a multi-table file by enclosing the table number in brackets, as with a FITS extension:
fundisp foo'[2]'The above example will display the second table in the file. (Index values start at 1 in oder to maintain logical compatibility with FITS files, where extension numbers also start at 1).
As with ARRAY() and EVENTS() specifiers for raw image arrays and raw event lists respectively, you can use TEXT() on text files to pass key=value options to the parsers. An empty set of keywords is equivalent to not having TEXT() at all, that is:
fundisp foo fundisp foo'[TEXT()]'are equivalent. A multi-table index number is placed before the TEXT() specifier as the first token, when indexing into a multi-table: fundisp foo'[2,TEXT(...)]'
The filter specification is placed after the TEXT() specifier, separated by a comma, or in an entirely separate bracket:
fundisp foo'[TEXT(...),circle 512 512 .1]' fundisp foo'[2,TEXT(...)][circle 512 512 .1]'
The following is a list of keywords that can be used within the TEXT() specifier (the first three are the most important):
fundisp foo.fits'[TEXT(delims="!")]' fundisp foo.fits'[TEXT(delims="\t%")]'
fundisp foo.fits'[TEXT(comchars="!\n")]'
fundisp foo.fits'[TEXT(cols="x:I,y:I,pha:I,pi:I,time:D,dx:E,dy:e")]'
If the column specifier is the only keyword, then the cols= is not required (in analogy with EVENTS()):
fundisp foo.fits'[TEXT(x:I,y:I,pha:I,pi:I,time:D,dx:E,dy:e)]'Of course, an index is allowed in this case:
fundisp foo.fits'[2,TEXT(x:I,y:I,pha:I,pi:I,time:D,dx:E,dy:e)]'
fundisp foo.fits'[TEXT(eot="END")]'will end the table when a line contains "END" is found. Multiple lines are supported, so that:
fundisp foo.fits'[TEXT(eot="END\nGAME")]'will end the table when a line contains "END" followed by a line containing "GAME".
In the absence of an EOT delimiter, a new table will be sensed when a new header (all alphanumeric columns) is found.
ival1 sval3 ----- ----- 1 two 3 four jval1 jval2 tval3 ----- ----- ------ 10 20 thirty 40 50 sixtyHere the line "jval1 ..." contains all string tokens. In addition, the number of tokens in this line (3) differs from the number of tokens in the previous line (2). Therefore a new table is assumed to have started. Similarly:
ival1 ival2 sval3 ----- ----- ----- 1 2 three 4 5 six jval1 jval2 tval3 ----- ----- ------ 10 20 thirty 40 50 sixtyAgain, the line "jval1 ..." contains all string tokens. The number of string tokens in the previous row (1) differs from the number of tokens in the current row(3). We therefore assume a new table as been started. This lazy EOT test is not performed if lazyeot is explicitly set to false.
#Column e_Kmag (F6.3) ?(k_msigcom) K total magnitude uncertainty (4) [ucd=ERROR] #Column Rflg (A3) (rd_flg) Source of JHK default mag (6) [ucd=REFER_CODE] #Column Xflg (I1) [0,2] (gal_contam) Extended source contamination (10) [ucd=CODE_MISC]while Sextractor files have headers containing column names alone:
# 1 X_IMAGE Object position along x [pixel] # 2 Y_IMAGE Object position along y [pixel] # 3 ALPHA_J2000 Right ascension of barycenter (J2000) [deg] # 4 DELTA_J2000 Declination of barycenter (J2000) [deg]The hcolfmt specification allows you to describe which header lines contain column name and data type information. It consists of a string defining the format of the column line, using "$col" (or "$name") to specify placement of the column name, "$fmt" to specify placement of the data format, and "$skip" to specify tokens to ignore. You also can specify tokens explicitly (or, for those users familiar with how sscanf works, you can specify scanf skip specifiers using "%*"). For example, the VizieR hcolfmt above might be specified in several ways:
Column $col ($fmt) # explicit specification of "Column" string $skip $col ($fmt) # skip one token %*s $col ($fmt) # skip one string (using scanf format)while the Sextractor format might be specified using:
$skip $col # skip one token %*d $col # skip one int (using scanf format)You must ensure that the hcolfmt statement only senses actual column definitions, with no false positives or negatives. For example, the first Sextractor specification, "$skip $col", will consider any header line containing two tokens to be a column name specifier, while the second one, "%*d $col", requires an integer to be the first token. In general, it is preferable to specify formats as explicitly as possible.
Note that the VizieR-style header info is sensed automatically by the funtools standard VizieR-like parser, using the hcolfmt "Column $col ($fmt)". There is no need for explicit use of hcolfmt in this case.
Environment variables are defined to allow many of these TEXT() values to be set without having to include them in TEXT() every time a file is processed:
keyword environment variable ------- -------------------- delims TEXT_DELIMS comchars TEXT_COMCHARS cols TEXT_COLUMNS eot TEXT_EOT null1 TEXT_NULL1 alen TEXT_ALEN bincols TEXT_BINCOLS hcolfmt TEXT_HCOLFMT
As with raw event files, the '+' (copy extensions) specifier is not supported for programs such as funtable.
String to int and int to string data conversions are allowed by the text parsers. This is done more by force of circumstance than by conviction: these transitions often happens with VizieR catalogs, which we want to support fully. One consequence of allowing these transitions is that the text parsers can get confused by columns which contain a valid integer in the first row and then switch to a string. Consider the following table:
xxx yyy zzz ---- ---- ---- 111 aaa bbb ccc 222 dddThe xxx column has an integer value in row one a string in row two, while the yyy column has the reverse. The parser will erroneously treat the first column as having data type int:
fundisp foo.tab XXX YYY ZZZ ---------- ------------ ------------ 111 'aaa' 'bbb' 1667457792 '222' 'ddd'while the second column is processed correctly. This situation can be avoided in any number of ways, all of which force the data type of the first column to be a string. For example, you can edit the file and explicitly quote the first row of the column:
xxx yyy zzz ---- ---- ---- "111" aaa bbb ccc 222 ddd [sh] fundisp foo.tab XXX YYY ZZZ ------------ ------------ ------------ '111' 'aaa' 'bbb' 'ccc' '222' 'ddd'You can edit the file and explicitly set the data type of the first column:
xxx:3A yyy zzz ------ ---- ---- 111 aaa bbb ccc 222 ddd [sh] fundisp foo.tab XXX YYY ZZZ ------------ ------------ ------------ '111' 'aaa' 'bbb' 'ccc' '222' 'ddd'You also can explicitly set the column names and data types of all columns, without editing the file:
[sh] fundisp foo.tab'[TEXT(xxx:3A,yyy:3A,zzz:3a)]' XXX YYY ZZZ ------------ ------------ ------------ '111' 'aaa' 'bbb' 'ccc' '222' 'ddd'The issue of data type transitions (which to allow and which to disallow) is still under discussion.