Package for working with BAS ApRES files
Project description
apres
This project enables ApRES .dat files to be read, rewritten, and converted.
The apres package
The apres package contains a number of classes for working with ApRES .dat files.
- The
ApRESBurst
class manages reading/writing a single burst block (the textual header and the binary data) from/to an opened ApRES .dat file. - The
ApRESFile
class is a context manager for ApRES .dat files. The class wraps theApRESBurst
class and can read a variable number of burst blocks from a file (i.e. a single burst file or a timeseries file). It also contains methods for subsetting an ApRES file, and for converting the file to netCDF4.
Install
The package can be installed from PyPI (note the package distribution name):
$ pip install bas-apres
Simple utility scripts
The package contains a number of scripts for converting from/to netCDF, plotting the data etc. When installing the package (e.g., via pip install
) then these scripts are available as commands and added to the PATH
. So for instance, you can just call apres_to_nc
. If running the scripts from a clone
of the source code repository, then they need to be run as modules, e.g. python -m apres.apres_to_nc
.
apres_to_nc.py
This script converts an ApRES .dat file to netCDF4. The default output netCDF filename has the same name as the input .dat file, but with a .nc file suffix. Optionally an alternative output netCDF filename can be explicitly given.
python3 -m apres.apres_to_nc filename.dat [outfile.nc]
The conversion is a straightforward mapping, in that each burst becomes a netCDF4 group, where the header lines become group attributes, and the data are stored as a NSubBursts
x N_ADC_SAMPLES
2D data array.
nc_to_apres.py
This script converts a previously converted netCDF4 file back to the original ApRES .dat file. The default output ApRES .dat filename has the same name as the input netCDF file, but with a .dat file suffix. Optionally an alternative output ApRES filename can be explicitly given.
python3 -m apres.nc_to_apres infile.nc [outfile.dat]
The conversion is a straightforward reversal of the original conversion. For the newer ApRES .dat file format version, this should be identical to the original file. For the older ApRES .dat file format version, there will likely be small differences in the whitespace in the textual header. Ignoring these insignificant changes in whitespace (e.g. diff -awB orig.dat reconstructed.dat
), the files will be identical.
plot_apres.py
This script will plot the N_ADC_SAMPLES
vs NSubBursts
as a radargram, for each burst in the file (or group for converted netCDF files). If the Average
header item > 0 (and so each subburst has been aggregated), then the script will instead plot the first subburst as a single trace. The file can be either an ApRES .dat file, or a converted netCDF file.
python3 -m apres.plot_apres [-h] [-r | -t] [-g GRID GRID] [-c CONTRAST] [-m CMAP]
filename.{dat,nc}
plot ApRES data, either from a .dat file, or a converted netCDF file
positional arguments:
filename filename
optional arguments:
-h, --help show this help message and exit
-r, --radargram plot a radargram
-t, --traces plot individual traces
-g GRID GRID, --grid GRID GRID
plot the first nrows x ncols traces
-c CONTRAST, --contrast CONTRAST
contrast for the radargram
-m CMAP, --cmap CMAP colour map for the radargram
Examples
Plot the given ApRES .dat file as a radargram:
python3 -m apres.plot_apres filename.dat
Plot the given converted netCDF file as a radargram:
python3 -m apres.plot_apres filename.nc
Plot the given ApRES file as a radargram, increasing the contrast:
python3 -m apres.plot_apres -c 10 filename.dat
Same as above, but with a blue-white-red colour map:
python3 -m apres.plot_apres -c 10 -m bwr filename.dat
Plot the first trace from the given ApRES file:
python3 -m apres.plot_apres -t filename.dat
Plot the first 6 traces, in a 3x2 grid:
python3 -m apres.plot_apres -t -g 3 2 filename.dat
read_apres.py
This script will read the given ApRES .dat file, and for each burst, print the results of parsing the header, such as the dimensions of the data array, and the parsed header dictionary. It will also head the data section (by default the first 10 samples of the first 10 subbursts), to give an initial simple look at the data.
The script's primary purpose is as a simple example of how to use the ApRESFile
class to read an ApRES .dat file.
python3 -m apres.read_apres filename.dat
write_apres.py
This script will read the given input ApRES .dat file, and for each burst, write the header and data to the given output ApRES .dat file. Optionally a subset of bursts can be written out, specified as the first bursts
bursts of the input file. In addition a subset of each burst can be written out, specified as the first subbursts
subbursts, and the first samples
ADC samples of these subbursts. If bursts
, subbursts
and samples
are not specified, then the output file is identical to the input file.
The script's primary purpose is as a simple example of how to use the ApRESFile
class to rewrite an ApRES .dat file.
python3 -m apres.write_apres [-b BURSTS] [-u SUBBURSTS] [-s SAMPLES] infile.dat outfile.dat
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