The system I work with generates multiple text files.
Below is a sample of what the file looks like.
They follow the same format. Only the values of the variable change from file to file.
There is a lot of Meta-Data (Junk as far as im concerned) in the beginning which I don't need.
I only want to read the last two variables at the very end of the file. And plot them on a graph.
X axis would be time, Y would be intensity.
Time is defined by second last variable in the file "actual_sampling_interval"
Pretty self explanatory, X increases in this increment.
Y should be the "ordinate_values" (the very last array).
Im really frustrate about this, any level of help would be really nice.
A snipped that extracts info I need and makes a variable and array in PHP/Perl would be really nice.
Ive looked at many PHP charting scripts... Once I have the variable/array in PHP,
it should be fairly easy to just plug in data into a charting script.
THANKS ALOT!
netcdf sig {
dimensions:
_2_byte_string = 2 ;
_4_byte_string = 4 ;
_8_byte_string = 8 ;
_16_byte_string = 16 ;
_32_byte_string = 32 ;
_64_byte_string = 64 ;
_255_byte_string = 255 ;
point_number = 2778 ;
peak_number = UNLIMITED ; // (0 currently)
error_number = 1 ;
variables:
float detector_maximum_value ;
float detector_minimum_value ;
float actual_run_time_length ;
float actual_delay_time ;
float actual_sampling_interval ;
float ordinate_values(point_number) ;
ordinate_values:uniform_sampling_flag = "Y" ;
ordinate_values:autosampler_position = "42884288" ;
float peak_retention_time(peak_number) ;
float peak_start_time(peak_number) ;
float peak_end_time(peak_number) ;
float peak_width(peak_number) ;
float peak_area(peak_number) ;
float peak_area_percent(peak_number) ;
float peak_height(peak_number) ;
float peak_height_percent(peak_number) ;
float peak_asymmetry(peak_number) ;
float baseline_start_time(peak_number) ;
float baseline_start_value(peak_number) ;
float baseline_stop_time(peak_number) ;
float baseline_stop_value(peak_number) ;
char peak_start_detection_code(peak_number, _2_byte_string) ;
char peak_stop_detection_code(peak_number, _2_byte_string) ;
float migration_time(peak_number) ;
float peak_area_square_root(peak_number) ;
short manually_reintegrated_peaks(peak_number) ;
// global attributes:
:dataset_completeness = "C1+C2" ;
:aia_template_revision = "1.0" ;
:netcdf_revision = "2.3" ;
:languages = "English only" ;
:injection_date_time_stamp = "20061120113104+0000" ;
:HP_injection_time = "20-Nov-08, 11:31:04" ;
:experiment_title = "SequenceLine: 5 Inj: 1" ;
:operator_name = "SFong" ;
:separation_experiment_type = "blah blah " ;
:source_file_reference = "C:\\arb\\1\\DATA\\10-20-2006\\1553_PC4SK9_2006-10-20\\1554 D01.D" ;
:sample_name = "1553 D01" ;
:sample_id = "" ;
:detector_unit = "LU " ;
:detection_method_name = "HTPP_SAMPLE.M" ;
:detector_name = "FLD1 A, Ex=280, Em=350" ;
:retention_unit = "seconds" ;
data:
detector_maximum_value = 3.8252 ;
detector_minimum_value = 1.54227 ;
actual_run_time_length = 1199.664 ;
actual_delay_time = 0 ;
actual_sampling_interval = 0.432 ;
ordinate_values = 1.8, 1.9, 1.9, 1.5, 1.3,
1.5, 1.5, 1.8, 1.5, 1.6, 1.3, 1.2,
1.9, 1.6, 1.4, 1.4, 1.6, 1.7, 1.877654,
1.874763, 1.872027, 1.869702, 1.86798, 1.866966, 1.866651, 1.866943,
1.867735, 1.868904, 1.870334, 1.871884, 1.87338, 1.874685, 1.875782,
1.713794 ;
}
