resistics.testing module¶
Module for producing testing data for resistics
This includes testing data for:
Record
History
TimeMetadata
TimeData
DecimatedData
SpectraData
- resistics.testing.record_example1() resistics.common.Record [source]¶
Get an example Record
- resistics.testing.record_example2() resistics.common.Record [source]¶
Get an example Record
- resistics.testing.history_example() resistics.common.History [source]¶
Get a History example
- resistics.testing.time_metadata_1chan(fs: float = 10, first_time: str = '2021-01-01 00:00:00', n_samples: int = 11) resistics.time.TimeMetadata [source]¶
Get TimeMetadata for a single channel, “chan1”
- Parameters
fs (float, optional) – The sampling frequency, by default 10
first_time (str, optional) – The first time, by default “2021-01-01 00:00:00”
n_samples (int, optional) – The number of samples, by default 11
- Returns
TimeMetadata
- Return type
- resistics.testing.time_metadata_2chan(fs: float = 10, first_time: str = '2021-01-01 00:00:00', n_samples: int = 11) resistics.time.TimeMetadata [source]¶
Get a TimeMetadata instance with two channels, “chan1” and “chan2”
- Parameters
fs (float, optional) – The sampling frequency, by default 10
first_time (str, optional) – The first time, by default “2021-01-01 00:00:00”
n_samples (int, optional) – The number of samples, by default 11
- Returns
TimeMetadata
- Return type
- resistics.testing.time_metadata_mt(fs: float = 10, first_time: str = '2020-01-01 00:00:00', n_samples: int = 11) resistics.time.TimeMetadata [source]¶
Get a magnetotelluric time metadata with four channels “Ex”, “Ey”, “Hx”, “Hy”
- Parameters
fs (float, optional) – The sampling frequency, by default 10
first_time (str, optional) – The first time, by default “2020-01-01 00:00:00”
n_samples (int, optional) – The number of samples, by default 11
- Returns
TimeMetadata
- Return type
- resistics.testing.time_data_ones(fs: float = 10, first_time: str = '2020-01-01 00:00:00', n_samples: int = 10, dtype: Optional[Type] = None) resistics.time.TimeData [source]¶
TimeData with all ones
- Parameters
fs (float, optional) – The sampling frequency, by default 10
first_time (str, optional) – The time of the first sample, by default “2020-01-01 00:00:00”
n_samples (int, optional) – The number of samples, by default 10
dtype (Optional[Type], optional) – The data type for the values, by default None
- Returns
The TimeData
- Return type
- resistics.testing.time_data_simple(fs: float = 10, first_time: str = '2020-01-01 00:00:00', dtype: Optional[Type] = None) resistics.time.TimeData [source]¶
Time data with 16 samples
- Parameters
fs (float, optional) – The sampling frequency, by default 10
first_time (str, optional) – The time of the first sample, by default “2020-01-01 00:00:00”
dtype (Optional[Type], optional) – The data type for the values, by default None
- Returns
The TimeData
- Return type
- resistics.testing.time_data_with_nans(fs: float = 10, first_time: str = '2020-01-01 00:00:00', dtype: Optional[Type] = None) resistics.time.TimeData [source]¶
TimeData with 16 samples and some nan values
- Parameters
fs (float, optional) – Sampling frequency, by default 10
first_time (str, optional) – The time of the first sample, by default “2020-01-01 00:00:00”
dtype (Optional[Type], optional) – The data type for the values, by default None
- Returns
The TimeData
- Return type
- resistics.testing.time_data_linear(fs: float = 10, first_time: str = '2020-01-01 00:00:00', n_samples: int = 10, dtype: Optional[Type] = None) resistics.time.TimeData [source]¶
Get TimeData with linear data
- Parameters
fs (float, optional) – The sampling frequency, by default 10
first_time (str, optional) – Time of first sample, by default “2020-01-01 00:00:00”
n_samples (int, optional) – The number of samples, by default 10
dtype (Optional[Type], optional) – The data type for the values, by default None
- Returns
TimeData with linear values
- Return type
- resistics.testing.time_data_random(fs: float = 10, first_time: str = '2020-01-01 00:00:00', n_samples: int = 10, dtype: Optional[Type] = None) resistics.time.TimeData [source]¶
TimeData with random values and specifiable number of samples
- Parameters
fs (float, optional) – The sampling frequency, by default 10
first_time (str, optional) – Time of first sample, by default “2020-01-01 00:00:00”
n_samples (int, optional) – The number of samples, by default 10
dtype (Optional[Type], optional) – The data type for the values, by default None
- Returns
The TimeData
- Return type
- resistics.testing.time_data_periodic(frequencies: List[float], fs: float = 50, first_time: str = '2020-01-01 00:00:00', n_samples: int = 100, dtype: Optional[Type] = None) resistics.time.TimeData [source]¶
Get period TimeData
- Parameters
frequencies (List[float]) – Frequencies to include
fs (float, optional) – Sampling frequency, by default 50
first_time (str, optional) – The first time, by default “2020-01-01 00:00:00”
n_samples (int, optional) – The number of samples, by default 100
dtype (Optional[Type], optional) – The data type for the values, by default None
- Returns
Periodic TimeData
- Return type
- resistics.testing.time_data_with_offset(offset=0.05, fs: float = 10, first_time: str = '2020-01-01 00:00:00', n_samples: int = 11, dtype: Optional[Type] = None) resistics.time.TimeData [source]¶
Get TimeData with an offset on the sampling
- Parameters
offset (float, optional) – The offset on the sampling in seconds, by default 0.05
fs (float, optional) – The sampling frequency, by default 10
first_time (str, optional) – The first time of the TimeData, by default “2020-01-01 00:00:00”
n_samples (int, optional) – The number of samples, by default 11
dtype (Optional[Type], optional) – The data type for the values, by default None
- Returns
The TimeData
- Return type
- resistics.testing.decimated_metadata(fs: float = 0.25, first_time: str = '2021-01-01 00:00:00', n_samples: int = 1024, n_levels: int = 3, factor: int = 4) resistics.decimate.DecimatedMetadata [source]¶
Get example decimated metadata
The final level has n_samples. The number of samples for all other levels is calculated using a decimation factor of 4.
Similarly for the sampling frequencies, the final level is assumed to have a sample frequency of fs and all other levels sampling frequencies are calculated from there.
- Parameters
fs (float, optional) – The sampling frequency of the last level, by default 0.25
first_time (str, optional) – The time of the first sample, by default “2021-01-01 00:00:00”
n_samples (int, optional) – The number of samples, by default 1024
n_levels (int, optional) – The number of decimation levels, by default 3
factor (int, optional) – The decimation factor for each level, by default 4
- Returns
DecimatedMetadata
- Return type
- resistics.testing.decimated_data_random(fs: float = 0.25, first_time: str = '2021-01-01 00:00:00', n_samples: int = 1024, n_levels: int = 3, factor: int = 4) resistics.decimate.DecimatedData [source]¶
Get random decimated data
- Parameters
fs (float, optional) – Sampling frequency, by default 10
first_time (str, optional) – The time of the first sample, by default “2021-01-01 00:00:00”
n_samples (int, optional) – The number of samples, by default 1024
n_levels (int, optional) – The number of levels, by default 3
factor (int, optional) – The decimation factor for each level, by default 4
- Returns
The decimated data
- Return type
- resistics.testing.decimated_data_linear(fs: float = 0.25, first_time: str = '2021-01-01 00:00:00', n_samples: int = 1024, n_levels: int = 3, factor: int = 4)[source]¶
Get linear decimated data
- Parameters
fs (float, optional) – Sampling frequency, by default 10
first_time (str, optional) – The time of the first sample, by default “2021-01-01 00:00:00”
n_samples (int, optional) – The number of samples, by default 1024
n_levels (int, optional) – The number of levels, by default 3
factor (int, optional) – The decimation factor for each level, by default 4
- Returns
The decimated data
- Return type
- resistics.testing.decimated_data_periodic(frequencies: Dict[str, List[float]], fs: float = 0.25, first_time: str = '2021-01-01 00:00:00', n_samples: int = 1024, n_levels: int = 3, factor: int = 4)[source]¶
Get periodic decimated data
- Parameters
frequencies (Dict[str, List[float]]) – Mapping from channel to list of frequencies to add
fs (float, optional) – Sampling frequency, by default 10
first_time (str, optional) – The time of the first sample, by default “2021-01-01 00:00:00”
n_samples (int, optional) – The number of samples, by default 1024
n_levels (int, optional) – The number of levels, by default 3
factor (int, optional) – The decimation factor for each level, by default 4
- Returns
The decimated data
- Return type
- resistics.testing.spectra_metadata_multilevel(fs: float = 128, n_levels: int = 3, n_wins: Union[List[int], int] = 2, index_offset: Union[List[int], int] = 0, chans: Optional[List[str]] = None) resistics.spectra.SpectraMetadata [source]¶
Get spectra metadata with multiple levels and two channels
- Parameters
fs (float, optional) – The original sampling frequency, by default 128
n_levels (int, optional) – The number of levels, by default 3
n_wins (Union[List[int], int]) – The number of windows for each level
index_offset (Union[List[int], int], optional) – The index offset vs. the reference time, by default 0
chans (Optional[List[str]]) – The channels in the data, by default None. If None, the channels will be chan1 and chan2
- Returns
SpectraMetadata with n_levels
- Return type
- Raises
ValueError – If the number of user input channels does not equal two
- resistics.testing.spectra_data_basic() resistics.spectra.SpectraData [source]¶
Spectra data with a single decimation level
- Returns
Spectra data with a single level, a single channel and two windows
- Return type
- resistics.testing.regression_input_metadata_mt(fs: float, freqs: List[float]) resistics.regression.RegressionInputMetadata [source]¶
Get example regression input metadata for single site mt
- Parameters
fs (float) – The sampling frequency
freqs (List[float]) – The evaluation frequencies
- Returns
Example regression input metadata with fs=128 and 5 evaluation frequencies
- Return type
- resistics.testing.components_mt() Dict[str, resistics.transfunc.Component] [source]¶
Get example components for the Impedance Tensor
- Returns
Dictionary of component values (ExHx, ExHy, EyHx, EyHy)
- Return type
Dict[str, Component]
- resistics.testing.solution_mt() resistics.regression.Solution [source]¶
Get an example impedance tensor solution
- Returns
The solution
- Return type