Try this
%%
chr = webread('http://tgftp.nws.noaa.gov/data/observations/metar/decoded/EDDH.TXT');
%%
cac = regexp( chr, '^Temperature:[^(]+\((\d+)\x20+C\)\x20*$', 'tokens', 'lineanchors' );
T = str2double(cac{1}{1});
cac = regexp( chr, '^Relative Humidity:\x20+(\d+)%\x20*$', 'tokens', 'lineanchors' );
RH = str2double(cac{1}{1});
cac = regexp( chr, '^Pressure \(altimeter\):[^(]+\((\d+)\x20+hPa\)\x20*$', 'tokens', 'lineanchors' );
p = str2double(cac{1}{1});
%%
T, RH, p
it just returned
T =
4
RH =
80
p =
1019
Comments
- Regular expressions are powerful and fast, but a bit tricky to use.
- The function, extractBetween(), and a handful of others were recently added to Matlab because (I guess) regular expressions are tricky.
- It's error prone to write regular expressions based a single example of the input. Small changes in the string format may break the code.
- I often use \x20 for space because I find it robust.
- Here (\d+) catches one or more digits, which doesn't allow for decimals. Replacing (\d+) by ([\d\.]+) catches numbers with decimals. (One backslash too many doesn't hurt, but one too few often does.)
- And a leading plus or minus, I was about to forget them. Thus, I have to add [+-]? and ends up with ([+-]?[\d\.]+).
- This code assumes that the sub-strings of interest appears only once in the text. Adding 'once' to the regexp() call catches the first occurence and avoids searching the rest of the text.
Modified code
%%
tic
cac = regexp( chr, '^Temperature:[^(]+\(([+-]?[\d\.]+)\x20+C\)\x20*$'...
, 'tokens', 'lineanchors', 'once' );
T = str2double(cac{1});
cac = regexp( chr, '^Relative Humidity:\x20+([+-]?[\d\.]+)%\x20*$' ...
, 'tokens', 'lineanchors', 'once' );
RH = str2double(cac{1});
cac = regexp( chr, '^Pressure \(altimeter\):[^(]+\(([+-]?[\d\.]+)\x20+hPa\)\x20*$' ...
, 'tokens', 'lineanchors', 'once' );
p = str2double(cac{1});
toc
.
And a code based on extractBetween()
%%
rows = strsplit( chr, '\n' );
tic
% Search the row numbers of the rows of interest
ixS = find( startsWith( ...
rows, {'Temperature:','Relative Humidity:','Pressure (altimeter):'} ) );
%
Temp = extractBetween( rows(ixS(1)), "(" , "C" );
LuftF = extractBetween( rows(ixS(2)), ': ' , '%' );
LuftD = extractBetween( rows(ixS(3)), 'Hg (', 'hPa' );
Tempe=str2double(Temp);
LuftFeu=str2double(LuftF);
LuftDru=str2double(LuftD);
toc
.
The regexp code is somewhat faster and the extractBetween code is much more readable. However, the regexp code is most likely much faster (than the extractBetween code) with the rows of interest in the beginning of a huge text.
