Python module to access Measurement Sets' quality statistics produced by aoflagger, aoquality or DPPP.
Project description
pyaoquality
Python module to access Measurement Sets' quality statistics produced by aoflagger, aoquality or DPPP.
Installation
pyaoquality can be installed via pip:
$ pip install aoquality
and requires Python 3.6.0 or higher.
Usage
Example to retrieve baseline statistics:
aoq = aoquality.AOQualityBaselineStat(ms_file)
# plot SNR as function of baseline length:
plt.plot(aoq.blenght, aoq.SNR)
# plot SNR as function of first antenna:
plt.plot(aoq.ant1, aoq.SNR)
To retrieve time statistics:
aot = aoquality.AOQualityTimeStat(ms_file)
# plot RFI percentage as function of time:
plt.plot(aot.time, aot.RFIPercentage)
To retrieve frequency statistics:
aof = aoquality.AOQualityFrequencyStat(ms_file)
# plot Std as function of frequencies:
plt.plot(aof.freqs, aof.Std)
Command line tool
There is also a command line tool, aostats, which usage is as follow:
Usage: aostats plot [OPTIONS] MS_FILES... [Mean|Std|DStd|Count|DCount|Sum|DSum
|DSumP2|Variance|DVariance|SNR|RFICount|RFIPercentage]
Plot Statistics from AO Quality Tables
MS_FILES: Input MS files STAT_NAME: Statistic Name
Options:
-o, --out_prefix TEXT Prefix to the output filename [default: stat]
-p, --pol INTEGER RANGE Polarization index: 0->XX, 1->XY, 2->YX, 3->YY
[default: 0]
--log Plot in log scale
--vmin FLOAT Minimum value
--vmax FLOAT Maximum value
--name TEXT Title of the plot
--help Show this message and exit.
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