0.2.1
Readme
SKA PyDADA
API
Python API
Notebooks
Example API Usage
Example unpacking of a DSPSR scale and offset DADA file
Polyphase Filter-Bank Inversion Spectral Fidelity Notebook
Polyphase Filter-Bank Inversion Temporal Fidelity Notebook
SKA PyDADA
Index
Edit on GitLab
Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
|
V
A
add_dataclass_obj() (ska_pydada.AsciiHeader method)
addition_args (ska_pydada.UnpackOptions attribute)
analyse_pfb_spectral_fidelity() (in module ska_pydada.utils.pfb_analysis)
analyse_pfb_temporal_fidelity() (in module ska_pydada.utils.pfb_analysis)
as_time_freq_pol() (ska_pydada.DadaFile method)
AsciiHeader (class in ska_pydada)
B
block_data_bytes (ska_pydada.UnpackOptions attribute)
block_header_bytes (ska_pydada.UnpackOptions attribute)
C
convert_to_dataframe() (ska_pydada.DspsrScalesOffsetsUnpacker static method)
D
DadaFile (class in ska_pydada)
data() (ska_pydada.DadaFile method)
data_bytes() (ska_pydada.DadaFile method)
data_c64() (ska_pydada.DadaFile method)
data_f32() (ska_pydada.DadaFile method)
data_i16() (ska_pydada.DadaFile method)
data_i32() (ska_pydada.DadaFile method)
data_i8() (ska_pydada.DadaFile method)
data_mask (ska_pydada.utils.pfb_analysis.TemporalFidelityImpulseResult attribute)
data_size (ska_pydada.DadaFile property)
DspsrScalesOffsetsUnpacker (class in ska_pydada)
dump() (ska_pydada.DadaFile method)
E
est_num_chunks() (ska_pydada.DadaFile method)
expected_frequency_bin_idx (ska_pydada.utils.pfb_analysis.SpectralFidelityToneResult attribute)
expected_impulse_idx (ska_pydada.utils.pfb_analysis.TemporalFidelityImpulseResult attribute)
expected_max_power (ska_pydada.utils.pfb_analysis.TemporalFidelityImpulseResult attribute)
expected_max_power_db (ska_pydada.utils.pfb_analysis.TemporalFidelityImpulseResult attribute)
F
file (ska_pydada.DadaFile property)
file_name (ska_pydada.DadaFile property)
file_number (ska_pydada.DadaFile property)
frequency_bin_idx (ska_pydada.utils.pfb_analysis.SpectralFidelityToneResult attribute)
from_bytes() (ska_pydada.AsciiHeader static method)
from_file() (ska_pydada.AsciiHeader static method)
from_str() (ska_pydada.AsciiHeader static method)
G
get_dataclass_obj() (ska_pydada.AsciiHeader method)
get_f32() (ska_pydada.AsciiHeader method)
get_f32_opt() (ska_pydada.AsciiHeader method)
get_float() (ska_pydada.AsciiHeader method)
get_float_opt() (ska_pydada.AsciiHeader method)
get_header_float() (ska_pydada.DadaFile method)
get_header_int() (ska_pydada.DadaFile method)
get_header_value() (ska_pydada.DadaFile method)
get_int() (ska_pydada.AsciiHeader method)
get_int_opt() (ska_pydada.AsciiHeader method)
get_value() (ska_pydada.AsciiHeader method)
get_value_list() (ska_pydada.AsciiHeader method)
get_value_pair_list() (ska_pydada.AsciiHeader method)
H
header (ska_pydada.DadaFile property)
header_size (ska_pydada.AsciiHeader property)
(ska_pydada.DadaFile property)
I
impulse_idx (ska_pydada.utils.pfb_analysis.TemporalFidelityImpulseResult attribute)
impulse_results (ska_pydada.utils.pfb_analysis.TemporalFidelityResult attribute)
L
load_from_file() (ska_pydada.DadaFile static method)
load_next() (ska_pydada.DadaFile method)
M
max_power_result (ska_pydada.utils.pfb_analysis.TemporalFidelityImpulseResult attribute)
max_power_result_idx (ska_pydada.utils.pfb_analysis.TemporalFidelityImpulseResult attribute)
max_spectral_confusion_result (ska_pydada.utils.pfb_analysis.SpectralFidelityToneResult attribute)
max_spectral_confusion_result_idx (ska_pydada.utils.pfb_analysis.SpectralFidelityToneResult attribute)
module
ska_pydada
ska_pydada.utils.pfb_analysis
N
nbit (ska_pydada.UnpackOptions attribute)
nchan (ska_pydada.UnpackOptions attribute)
ndim (ska_pydada.UnpackOptions attribute)
npol (ska_pydada.UnpackOptions attribute)
O
obs_offset (ska_pydada.DadaFile property)
overall_result (ska_pydada.utils.pfb_analysis.SpectralFidelityResult attribute)
(ska_pydada.utils.pfb_analysis.SpectralFidelityToneResult attribute)
(ska_pydada.utils.pfb_analysis.TemporalFidelityImpulseResult attribute)
(ska_pydada.utils.pfb_analysis.TemporalFidelityResult attribute)
P
power_as_db() (in module ska_pydada.utils.pfb_analysis)
R
raw_data (ska_pydada.DadaFile property)
resolution (ska_pydada.AsciiHeader property)
(ska_pydada.DadaFile property)
S
scan_id (ska_pydada.DadaFile property)
set_data() (ska_pydada.DadaFile method)
set_f32() (ska_pydada.AsciiHeader method)
set_header_value() (ska_pydada.DadaFile method)
set_value() (ska_pydada.AsciiHeader method)
signal_power (ska_pydada.utils.pfb_analysis.SpectralFidelityToneResult attribute)
(ska_pydada.utils.pfb_analysis.TemporalFidelityImpulseResult attribute)
signal_power_db (ska_pydada.utils.pfb_analysis.SpectralFidelityToneResult attribute)
(ska_pydada.utils.pfb_analysis.TemporalFidelityImpulseResult attribute)
ska_pydada
module
ska_pydada.utils.pfb_analysis
module
SkaUnpacker (class in ska_pydada)
SpectralFidelityResult (class in ska_pydada.utils.pfb_analysis)
SpectralFidelityToneResult (class in ska_pydada.utils.pfb_analysis)
spurious_power_mask (ska_pydada.utils.pfb_analysis.TemporalFidelityImpulseResult attribute)
T
TemporalFidelityImpulseResult (class in ska_pydada.utils.pfb_analysis)
TemporalFidelityResult (class in ska_pydada.utils.pfb_analysis)
time_sample_start_idx (ska_pydada.utils.pfb_analysis.SpectralFidelityToneResult attribute)
to_bytes() (ska_pydada.AsciiHeader method)
tone_results (ska_pydada.utils.pfb_analysis.SpectralFidelityResult attribute)
total_spectral_confusion_power_db (ska_pydada.utils.pfb_analysis.SpectralFidelityToneResult attribute)
total_spectral_confusion_power_result (ska_pydada.utils.pfb_analysis.SpectralFidelityToneResult attribute)
total_spurious_power_db (ska_pydada.utils.pfb_analysis.TemporalFidelityImpulseResult attribute)
total_spurious_power_result (ska_pydada.utils.pfb_analysis.TemporalFidelityImpulseResult attribute)
tsamp (ska_pydada.utils.pfb_analysis.SpectralFidelityResult attribute)
(ska_pydada.utils.pfb_analysis.TemporalFidelityResult attribute)
U
unpack() (ska_pydada.DspsrScalesOffsetsUnpacker method)
(ska_pydada.SkaUnpacker method)
(ska_pydada.Unpacker method)
unpack_tfp() (ska_pydada.DadaFile method)
Unpacker (class in ska_pydada)
UnpackOptions (class in ska_pydada)
V
valid_frequency_bin (ska_pydada.utils.pfb_analysis.SpectralFidelityToneResult attribute)
valid_impulse_position (ska_pydada.utils.pfb_analysis.TemporalFidelityImpulseResult attribute)