necst_visualizer.scan_check¶

class ScanCheck(data_path, kisa_path=None)[source]¶

Bases: object

Tool to check whether the data is taken with “normally” controlled system.

Parameters

data_path (PathLike) – Path to the database directory.
kisa_path (PathLike) – Path to the pointing error file.

Return type

None

Examples

>>> necvis = necst_visualizer.Scan_check.ScanCheck("path/to/database")
>>> necvis.create_data_array()
(xarray.Dataset)

ENCODER_TOPIC = 'status_encoder'¶

OBSMODE_TOPIC = 'obsmode'¶

load_data(topic_name)[source]¶

Parameters: topic_name (str) –
Return type: dict

create_data_array(dump=False)[source]¶

Parameters: dump (bool) –
Return type: Dataset

trans_coords(enc)[source]¶

Transform azel coordinate to equatorial and galactic coordinates. .. rubric:: Notes

This function will take 100s to process data of length 300k.

Parameters: enc (Dataset) –
Return type: dict

class VisualizeScan(drive_data, observation='NotSpecified')[source]¶

Bases: object

Visualize scanning path.

Parameters

drive_data (xr.Dataset) – it is created by create_data_array() function of ScanCheck class.
observation (str) –

Return type

None

Examples

>>> visualize = necst_visualizer.Scan_check.VisualizeScan(drive_data)
>>> visualize.draw_figure()
(Plot observational data on three coordinate systems (horizontal,equatorial and galactic))
>>> visualize.draw_one_coord()
(Plot observational data on galactic coordinate system)
>>> visualize.track_figure()
(Show the direction of observation on three coordinate systems)
>>> visualize.track_one_coord()
(Show the direction of observation on galactic coordinate system)
>>> fig,axes = visualize.draw_figure()
>>> visualize.track_figure(fig=fig,axes=axes)
(Plot observational data with the direction of observation on three coordinate systems)

MAIN_OBSMODES = [b'ON ', b'OFF ', b'SKY ']¶

OTHER_OBSMODES = [b' ', b'Non ', b'HOT ']¶

PLOT_COLOR = {b' ': '#777', b'HOT ': '#F00', b'Non ': '#000', b'OFF ': '#0DF', b'ON ': '#0F0', b'SKY ': '#0DF'}¶

COORD_MAP = {'equatorial': {'label': ['R.A. [deg]', 'Dec. [deg]'], 'title': 'Equatorial (J2000)', 'xy': ['ra', 'dec']}, 'galactic': {'label': ['$l$ [deg]', '$b$ [deg]'], 'title': 'Galactic', 'xy': ['l', 'b']}, 'horizontal': {'label': ['Az. [deg]', 'El. [deg]'], 'title': 'Horizontal', 'xy': ['az', 'el']}}¶

classmethod from_pickle(pickle_path)[source]¶

Parameters: pickle_path (Union[str, Path]) –
Return type: None

classmethod draw_data_centric(ax)[source]¶

Parameters: ax (Axes) –
Return type: None

draw_one_coord(coord='galactic', fig=None, ax=None)[source]¶

Plot observational data.

Parameters

coord (str) – Either of [“horizontal”, “equatorial”, “galactic”].
ax (axes object of matplotlib) – Axis to which the data is drawn.

Return type

None

track_one_coord(coord='galactic', fig=None, ax=None, interval=100)[source]¶

Show the direction of observation.

Parameters

coord (str) – Either of [“horizontal”, “equatorial”, “galactic”].
ax (axes object of matplotlib) – Axis to which the data is drawn.
interval (int) – Interval between starting and end point of arrow.

Return type

None

draw(mode, ax, x, y, zorder)[source]¶

track(mode, ax, x, y, zorder, interval=100)[source]¶

Parameters: interval (int) –

draw_figure(save=False, fig=None, axes=None)[source]¶

Plot observational data on three coordinate systems (horizontal,equatorial and galactic).

Parameters

save (Union[PathLike, bool]) – Path to the directory you want to save the figure.
fig (figure object of matplotlib) –
axes (axes object of matplotlib) –

Return type

Optional[Path]

track_figure(save=False, fig=None, axes=None, interval=100)[source]¶

Show the direction of observation on three coordinate systems (horizontal,equatorial and galactic).

Parameters

save (Union[PathLike, bool]) – Path to the directory you want to save the figure.
fig (figure object of matplotlib) –
axes (axes object of matplotlib) –
interval (int) – Interval between starting and end point of arrow.

Return type

Optional[Path]

necst_visualizer