pyIntensityFeatures

Package to identify intensity features in imager data.

Submodules

Attributes

`logger`
`__version__`

Classes

AuroralBounds

Manage intensity data and obtain auroral luminosity boundaries.

Package Contents

pyIntensityFeatures.logger[source]

class pyIntensityFeatures.AuroralBounds(inst_data, time_var, glon_var, glat_var, intensity_var, alt, transpose=False, opt_coords=None, hemisphere=1, stime=None, etime=None, slice_func=satellites.get_auroral_slice, slice_kwargs=None, clean_func=None, clean_kwargs=None)[source]

Bases: object

Manage intensity data and obtain auroral luminosity boundaries.

Parameters:

inst_dataobject: Instrument data of any type (e.g., pysat.Instrument, xr.Dataset, pds.DataFrame, dict of arrays) with appropriate observations.
time_varstr or int: Time key, attribute, variable name, or index
glon_varstr: Geographic longitude key, attribute, variable name, or index
glat_varstr: Geographic latitude key, attribute, variable name, or index
intensity_varstr: Observed intensity key, attribute, variable name, or index
altfloat or int: Altitude in km at which the aurora is observed
transposebool or dict: Flag that indicates whether or not the 2D data accessed by glon_var, glat_var, and intensity_var needs to be transposed. If a dict is supplied, the keys should correspond the the different variable names and allows different flags for each set of data. (default=False)
opt_coordsdict or NoneType: Dict of coordinates to include in boundaries or None to only have the required coordinates (default=None)
hemipshereint: Integer denoting hemisphere, 1 for North and -1 for South (default=1)
stimeobject or NoneType: Time object or None to use earliest time from inst_data (default=None)
etimeobject or NoneType: Time object or None to use latest time from inst_data (default=None)
slice_funcfunction: Appropriate function to retrieve an auroral image slice (default=pyIntensityFeatures.instruments.satellites.get_auroral_slice)
slice_kwargsdict or NoneType: Kwargs to be used by slice_func (default=None)
clean_funcfunction or NoneType: Appropriate function to clean the intensity data (default=None)
clean_kwargsdict or NoneType: Kwargs to be used by clean_func (default=None)

Attributes:

inst_data
time_var
glon_var
glat_var
intensity_var
alt
opt_coords
hemipshere
stime
etime
slice_func
clean_func
boundariesxr.Dataset or NoneType: Dataset with Auroral Luminosity Boundaries or NoneType if not run

Methods

set_boundaries	Set the boundaries attribute using the assigned data.
update_times	Update stime and etime attributes to reflect current data in inst_data, if available.

inst_data

property alt: Altitude in km at which the intensity data is located.

time_var

glon_var

glat_var

intensity_var

property hemisphere: Hemisphere for data processing (1 for North, -1 for South).

property stime: Starting time for loaded data.

property etime: Ending time for loaded data.

boundaries = None

__eq__(other)[source]

Perform equality check.

Parameters:

otherany: Other object to compare for equality

Returns:

bool: True if objects are identical, False if they are not.

__repr__()[source]: Print basic class properties.

__str__()[source]: Descriptively print the class properties.

_get_variable(var)[source]

Get the data variable data as an array from the data object.

Parameters:

varstr: Data variable name

Returns:

ret_data :array-like: numpy array of the desired data.

Notes

Uses the transpose attribute to determine whether or not returned data will be transposed.

set_boundaries(min_mlat_base=59.0, mag_method='ALLOWTRACE', mlat_inc=1.0, mlt_inc=0.5, un_threshold=1.25, dayglow_threshold=300.0, strict_fit=False, lt_out_bin=5.0, max_iqr=1.5)[source]

Set boundaries with auroral boundaries from intensity data.

Parameters:

min_mlat_basefloat: Base minimum co-latitude for intensity profiles. (default=59.0)
methodstr: Method for converting between geographic and magnetic coordinates. (default=’ALLOWTRACE’)
mlat_incfloat: Magnetic latitude increment for gridding intensity. (default=1.0)
mlt_incfloat: Magnetic local time increment for gridding intensity. (default=0.5)
un_thresholdfloat: Maximum acceptable uncertainty value in degrees (default=1.25)
dayglow_thresholdfloat: Maximum allowable background intensity value in Rayleighs (default=300.0)
strict_fitbool: Enforce positive values for the x-offsets in quadratic-Gaussian fits (default=False)
lt_out_binfloat: Size of local time bin in hours over which outliers in the data will be identified (default=5.0)
max_iqrfloat: Maximum multiplier for the interquartile range (IQR) used to identify outliers above or below the upper or lower quartile (default=1.5)