I have two files with same name residing in different directory. Each file has 14 columns. I want to compare column by column for each row.
Also, have to take two columns as key identifier;pick a row in File1; retrieve the corresponding row from file2 and then compare the values.
Can... (1 Reply)
:(
Hello,
Having a problem with reading two files using awk/nawk, am new to both them.
I need to compare field values between two csv files and arrange for an appropriate output if both the values are equal or not for each feild.
$cat File1.csv... (4 Replies)
Hi gurus
I have two csv files that are outputs. The file contains data similar to
s.no,number1,number2,date1
--------------------------------
1, a123,482.29,11/28/07 13:00
2,a124,602.7,9/24/07 14:00
3,a125,266.93,10/9/07 16.48
4,a126,785.15,11/14/07 16:08
<file 2>
s.no name... (2 Replies)
Hi All,
I have two files and data looks like this:
File1 Contents
#Field1,Field2
Dist_Center_file1.txt;21
Dist_Center_file3.txt;20
Dist_Center_file2.txt;20
File2 Contents (*** No Header ***)
Dist_Center_file1.txt;23
Dist_Center_file2.txt;20
Dist_Center_file3.txt;20
I have... (4 Replies)
Hello,
I need to compare two files which have the following structure
File1:
No : 1
Name : George/Brown
Value2 : type2
Value3 : type3
Date : Wed Oct 20 11:12:58 2010
Value : yes
No : 2
Name : John/Cash
Value2 :... (4 Replies)
Hi,
I'm a newbie to scripting and am trying to compare two files using awk.
The files are exactly the same dimensions. Where the first file has 0's I would like to create an updated version of the second file which has the corresponding elements set to zero also.
eg:
file1:
12345 1 2 0... (3 Replies)
Hi there,
I want to compare 2nd column which are alphanumeric values from each of the 2 files i.e.,lspv_pre.out and lspv_post.out , if found echo some message.
lspv_pre.out
hdisk0 00c39eaa451144dd rootvg active
hdisk1 00c39eaa45223322 ... (3 Replies)
- I have two files (File 1 and File 2) and the contents of the files are mentioned below.
- I am trying to compare the values of Column1 of File1 with Column1 of File2. If a match is found, print the corresponding value from Column2 of File1 in Column5 of File2.
- I tried to modify and use... (10 Replies)
Hello, i am new in Bash. Actually i have a directory : /home/resultfiles and inside i have these txt files:
531_1.out.res, 531_2.out.res , 531_3.out.res
532_1.out.res, 532_2.out.res , 532_3.out.res
533_1.out.res, 533_2.out.res, 533_3.out.res
All these txt files has this format :
num_q all... (3 Replies)
Judi # cat File1
judi /export/home 76
judi /usr 83
judi #
judi # cat File2
judi /export/home 79
judi /usr 82
judi #
if COLUMN3 of File2 is greater that COLUMN3 of File1, then print File2's lines
juid /export/home 79
Code tags please (2 Replies)
Discussion started by: judi
2 Replies
LEARN ABOUT DEBIAN
fp2hdf
FP2HDF(1) General Commands Manual FP2HDF(1)NAME
fp2hdf - convert floating point data to HDF
SYNOPSIS
fp2hdf -h[elp] fp2hdf infile [infile...] -o[utfile outfile] [-r[aster] [ras_options...]] [-f[loat]]
DESCRIPTION
fp2hdf converts floating point data to HDF Scientific Data Set (SDS) and/or 8-bit Raster Image Set (RIS8) format, storing the results in an
HDF file. The image data can be scaled about a mean value.
Input file(s) contain a single two-dimensional or three-dimensional floating point array in either ASCII text, native floating point, or
HDF SDS format. If an HDF file is used for input, it must contain an SDS. The SDS need only contain a dimension record and the data, but
if it also contains maximum and minimum values and/or scales for each axis, these will be used. If the input format is ASCII text or
native floating point, see "Notes" below on how it must be organized.
OPTIONS
-h[elp]
Print a helpful summary of usage, and exit.
-o[utfile] outfile
Data from one or more input files are stored as one or more data sets and/or images in one HDF output file, outfile.
-r[aster]
Store output as a raster image set in the output file -f[loat] Store output as a scientific data set in the the output file. This
is the default if the "-r" option is not specified.
ras_opts:
-e[xpand] horiz vert [depth]
Expand float data via pixel replication to produce the image(s). horiz and vert give the horizontal and vertical resolution of the
image(s) to be produced; and optionally, depth gives the number of images or depth planes (for 3D input data).
-i[nterp] horiz vert [depth]
Apply bilinear, or trilinear, interpolation to the float data to produce the image(s). horiz, vert, and depth must be greater than
or equal to the dimensions of the original dataset.
-p[alfile] palfile
Store the palette with the image. Get the palette from palfile; which may be an HDF file containing a palette, or a file containing
a raw palette.
-m[ean] mean
If a floating point mean value is given, the image will be scaled about the mean. The new extremes (newmax and newmin), as given
by:
newmax = mean + max(abs(max-mean), abs(mean-min))
newmin = mean - max(abs(max-mean), abs(mean-min))
will be equidistant from the mean value. If no mean value is given, then the mean will be: 0.5 * (max + min)
INPUT
If the input file format is ASCII text or native floating point, it must have the following input fields:
format
nplanes
nrows
ncols
max_value
min_value
[plane1 plane2 plane3 ...]
row1 row2 row3 ...
col1 col2 col3 ...
data1 data2 data3 ...
...
Where:
format Format designator ("TEXT", "FP32" or "FP64").
nplanes
Dimension of the depth axis ("1" for 2D input).
nrows Dimension of the vertical axis.
ncols Dimension of the horizontal axis.
max_value
Maximum data value.
min_value
Minimum data value.
plane1, plane2, plane3, ...
Scales for depth axis.
row1, row2, row3, ...
Scales for the vertical axis.
col1, col2, col3, ...
Scales for the horizontal axis.
data1, data2, data3, ...
The data ordered by rows, left to right and top to bottom; then optionally, ordered by planes, front to back.
For FP32 and FP64 input format, format, nplanes, nrows, ncols, and nplanes are native integers; where format is the integer repre-
sentation of the appropriate 4-character string (0x46503332 for "FP32" and 0x46503634 for "FP64"). The remaining input fields are
composed of native 32-bit floating point values for FP32 input format, or native 64-bit floating point values for FP64 input format.
EXAMPLE
Convert floating point data in "f1.txt" to SDS format, and store it as an SDS in HDF file "o1":
fp2hdf f1.txt -o o1
Convert floating point data in "f2.hdf" to 8-bit raster format, and store it as an RIS8 in HDF file "o2":
fp2hdf f2.hdf -o o2 -r
Convert floating point data in "f3.bin" to 8-bit raster format and SDS format, and store both the RIS8 and the SDS in HDF file "o3":
fp2hdf f3.bin -o o3 -r -f
Convert floating point data in "f4" to a 500x600 raster image, and store the RIS8 in HDF file "o4". Also store a palette from "palfile"
with the image:
fp2hdf f4 -o o4 -r -e 500 600 -p palfile
Convert floating point data in "f5" to 200 planes of 500x600 raster images, and store the RIS8 in HDF file "o5". Also scale the image data
so that it is centered about a mean value of 10.0:
fp2hdf f5 -o o5 -r -i 500 600 200 -m 10.0
SEE ALSO hdf(5)
October 30, 1999 FP2HDF(1)