Level_1

class esis.data.level_1.Level_1(intensity=None, intensity_uncertainty=None, wcs=None, time=None, time_index=None, channel=None, exposure_length=None, detector=None, sequence_metadata=None, analog_metadata=None)

Bases: kgpy.observatories.Obs, kgpy.mixin.Pickleable

__init__(intensity=None, intensity_uncertainty=None, wcs=None, time=None, time_index=None, channel=None, exposure_length=None, detector=None, sequence_metadata=None, analog_metadata=None)

Initialize self. See help(type(self)) for accurate signature.

Parameters

• intensity (Optional[astropy.units.Quantity]) –

• intensity_uncertainty (Optional[astropy.units.Quantity]) –

• wcs (Optional[numpy.ndarray]) –

• time (Optional[astropy.time.Time]) –

• time_index (Optional[numpy.ndarray]) –

• channel (Optional[astropy.units.Quantity]) –

• exposure_length (Optional[astropy.units.Quantity]) –

• detector (Optional[esis.optics.detector.Detector]) –

• sequence_metadata (numpy.ndarray) –

• analog_metadata (numpy.ndarray) –

Return type

None

Attributes

analog_metadata
axis
channel
channel_labels	rtype typing.List[str]
detector
exposure_length
intensity
intensity_uncertainty
num_channels	rtype int
num_times	rtype int
sequence_metadata
shape	rtype typing.Tuple[int, …]
time
time_index
wcs

Methods

__init__([intensity, intensity_uncertainty, …])	Initialize self.
animate(data[, time_slice, axs, thresh_min, …])	rtype matplotlib.animation.FuncAnimation
animate_channel(images, image_names[, ax, …])
animate_intensity([axs, thresh_min, …])	rtype matplotlib.animation.FuncAnimation
animate_intensity_channel([ax, time_slice, …])	rtype matplotlib.animation.FuncAnimation
create_mask(sequence)
default_pickle_path()	rtype pathlib.Path
from_level_0(lev0[, despike])	rtype esis.data.level_1.Level_1
from_pickle([path])	rtype esis.data.level_1.Level_1
intensity_photons(wavelength)	rtype astropy.units.Quantity
plot_channel(image[, image_name, ax, …])	rtype matplotlib.axes.Axes
plot_channel_from_data(data[, ax, …])	rtype matplotlib.axes.Axes
plot_exposure_length([ax])	rtype matplotlib.axes.Axes
plot_intensity_channel([ax, time_index, …])	rtype matplotlib.axes.Axes
plot_intensity_mean_vs_time([ax])	rtype matplotlib.axes.Axes
plot_intensity_time([axs, time_index, …])	rtype numpy.ndarray
plot_quantity_vs_index(a[, a_name, ax, …])	type a astropy.units.Quantity
plot_time(images, image_names, axs[, …])	rtype numpy.ndarray
plot_time_from_data(data[, axs, time_index, …])	rtype numpy.ndarray
to_fits(path)
to_pickle([path])
zeros(shape)	rtype kgpy.observatories.Obs

Inheritance Diagram

animate(data, time_slice=slice(None, None, None), axs=None, thresh_min=<Quantity 0.01 %>, thresh_max=<Quantity 99.9 %>, norm_gamma=1, frame_interval=<Quantity 100. ms>)

Return type

matplotlib.animation.FuncAnimation

Parameters

• data (astropy.units.Quantity) –

• time_slice (slice) –

• axs (Optional[numpy.ndarray]) –

• thresh_min (astropy.units.Quantity) –

• thresh_max (astropy.units.Quantity) –

• norm_gamma (float) –

• frame_interval (astropy.units.Quantity) –

animate_channel(images, image_names, ax=None, thresh_min=<Quantity 0.01 %>, thresh_max=<Quantity 99.9 %>, norm_gamma=1, norm_vmin=None, norm_vmax=None, frame_interval=<Quantity 1. s>)

Parameters

• images (astropy.units.Quantity) –

• image_names (List[str]) –

• ax (Optional[matplotlib.axes.Axes]) –

• thresh_min (astropy.units.Quantity) –

• thresh_max (astropy.units.Quantity) –

• norm_gamma (float) –

• norm_vmin (Optional[astropy.units.Quantity]) –

• norm_vmax (Optional[astropy.units.Quantity]) –

• frame_interval (astropy.units.Quantity) –

animate_intensity(axs=None, thresh_min=<Quantity 0.01 %>, thresh_max=<Quantity 99.9 %>, norm_gamma=1, frame_interval=<Quantity 100. ms>)

Return type

matplotlib.animation.FuncAnimation

Parameters

• axs (Optional[MutableSequence[matplotlib.axes.Axes]]) –

• thresh_min (astropy.units.Quantity) –

• thresh_max (astropy.units.Quantity) –

• norm_gamma (float) –

• frame_interval (astropy.units.Quantity) –

animate_intensity_channel(ax=None, time_slice=None, channel_index=0, thresh_min=<Quantity 0.01 %>, thresh_max=<Quantity 99.9 %>, norm_gamma=1, frame_interval=<Quantity 100. ms>)

Return type

matplotlib.animation.FuncAnimation

Parameters

• ax (Optional[matplotlib.axes.Axes]) –

• time_slice (Optional[slice]) –

• channel_index (int) –

• thresh_min (astropy.units.Quantity) –

• thresh_max (astropy.units.Quantity) –

• norm_gamma (float) –

• frame_interval (astropy.units.Quantity) –

create_mask(sequence)

static default_pickle_path()

Return type

pathlib.Path

classmethod from_level_0(lev0, despike=False)

Return type

esis.data.level_1.Level_1

Parameters

• lev0 (esis.data.level_0.Level_0) –

• despike (bool) –

classmethod from_pickle(path=None)

Return type

esis.data.level_1.Level_1

Parameters

path (Optional[pathlib.Path]) –

intensity_photons(wavelength)

Return type

astropy.units.Quantity

Parameters

wavelength (astropy.units.Quantity) –

plot_channel(image, image_name='', ax=None, thresh_min=<Quantity 0.01 %>, thresh_max=<Quantity 99.9 %>, colorbar_location='right', transpose=False)

Return type

matplotlib.axes.Axes

Parameters

• image (astropy.units.Quantity) –

• image_name (str) –

• ax (Optional[matplotlib.axes.Axes]) –

• thresh_min (astropy.units.Quantity) –

• thresh_max (astropy.units.Quantity) –

• colorbar_location (str) –

• transpose (bool) –

plot_channel_from_data(data, ax=None, time_index=0, channel_index=0, thresh_min=<Quantity 0.01 %>, thresh_max=<Quantity 99.9 %>)

Return type

matplotlib.axes.Axes

Parameters

• data (astropy.units.Quantity) –

• ax (Optional[matplotlib.axes.Axes]) –

• time_index (int) –

• channel_index (int) –

• thresh_min (astropy.units.Quantity) –

• thresh_max (astropy.units.Quantity) –

plot_exposure_length(ax=None)

Return type

matplotlib.axes.Axes

Parameters

ax (Optional[matplotlib.axes.Axes]) –

plot_intensity_channel(ax=None, time_index=0, channel_index=0, thresh_min=<Quantity 0.01 %>, thresh_max=<Quantity 99.9 %>)

Return type

matplotlib.axes.Axes

Parameters

• ax (Optional[matplotlib.axes.Axes]) –

• time_index (int) –

• channel_index (int) –

• thresh_min (astropy.units.Quantity) –

• thresh_max (astropy.units.Quantity) –

plot_intensity_mean_vs_time(ax=None)

Return type

matplotlib.axes.Axes

Parameters

ax (Optional[matplotlib.axes.Axes]) –

plot_intensity_time(axs=None, time_index=0, thresh_min=<Quantity 0.01 %>, thresh_max=<Quantity 99.9 %>)

Return type

numpy.ndarray

Parameters

• axs (Optional[MutableSequence[matplotlib.axes.Axes]]) –

• time_index (int) –

• thresh_min (astropy.units.Quantity) –

• thresh_max (astropy.units.Quantity) –

plot_quantity_vs_index(a, a_name='', ax=None, legend_ncol=1, drawstyle='steps')

Parameters

• a (astropy.units.Quantity) –

• a_name (str) –

• ax (typing.Optional[matplotlib.axes.Axes]) –

• legend_ncol (int) –

• drawstyle (str) –

Returns

Return type

matplotlib.axes.Axes

plot_time(images, image_names, axs, thresh_min=<Quantity 0.01 %>, thresh_max=<Quantity 99.9 %>)

Return type

numpy.ndarray

Parameters

• images (astropy.units.Quantity) –

• image_names (Sequence[str]) –

• axs (Optional[MutableSequence[matplotlib.axes.Axes]]) –

• thresh_min (astropy.units.Quantity) –

• thresh_max (astropy.units.Quantity) –

plot_time_from_data(data, axs=None, time_index=0, thresh_min=<Quantity 0.01 %>, thresh_max=<Quantity 99.9 %>)

Return type

numpy.ndarray

Parameters

• data (astropy.units.Quantity) –

• axs (Optional[MutableSequence[matplotlib.axes.Axes]]) –

• time_index (int) –

• thresh_min (astropy.units.Quantity) –

• thresh_max (astropy.units.Quantity) –

to_fits(path)

Parameters

path (pathlib.Path) –

to_pickle(path=None)

Parameters

path (Optional[pathlib.Path]) –

classmethod zeros(shape)

Return type

kgpy.observatories.Obs

Parameters

shape (Sequence[int]) –

analog_metadata: numpy.ndarray = None

axis: ClassVar[kgpy.observatories.ObsAxis] = <kgpy.observatories.ObsAxis object>

channel: Optional[astropy.units.Quantity] = None

property channel_labels

Return type

typing.List[str]

detector: Optional[esis.optics.detector.Detector] = None

exposure_length: Optional[astropy.units.Quantity] = None

intensity: Optional[astropy.units.Quantity] = None

intensity_uncertainty: Optional[astropy.units.Quantity] = None

property num_channels

Return type

int

property num_times

Return type

int

sequence_metadata: numpy.ndarray = None

property shape

Return type

typing.Tuple[int, …]

time: Optional[astropy.time.Time] = None

time_index: Optional[numpy.ndarray] = None

wcs: Optional[numpy.ndarray] = None