Magnetic Induction Coil Array (MICA)
The routines in this module can be used to load data from the Magnetic Induction Coil Array (MICA) mission.
Induction data
- pyspedas.mica.induction(site=None, trange=['2019-02-01', '2019-02-02'], suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False)
This function loads data from the Magnetic Induction Coil Array (MICA)
- Parameters
site (
str
) – abbreviated name of station. sites include: NAL, LYR, LOR, ISR, SDY, IQA, SNK, MCM, SPA, JBS, NEV, HAL, PG2[3,4,5]trange (
list
ofstr
) – time range of interest [starttime, endtime] with the format ‘YYYY-MM-DD’,’YYYY-MM-DD’] or to specify more or less than a day [‘YYYY-MM-DD/hh:mm:ss’,’YYYY-MM-DD/hh:mm:ss’]suffix (
str
) – The tplot variable names will be given this suffix. By default, no suffix is added.get_support_data (
bool
) – Data with an attribute “VAR_TYPE” with a value of “support_data” will be loaded into tplot. By default, only loads in data with a “VAR_TYPE” attribute of “data”.varformat (
str
) – The file variable formats to load into tplot. Wildcard character “*” is accepted. By default, all variables are loaded in.varnames (
list
ofstr
) – List of variable names to load (if not specified, all data variables are loaded)downloadonly (
bool
) – Set this flag to download the CDF files, but not load them into tplot variablesnotplot (
bool
) – Return the data in hash tables instead of creating tplot variablesno_update (
bool
) – If set, only load data from your local cachetime_clip (
bool
) – Time clip the variables to exactly the range specified in the trange keyword
- Return type
List
oftplot variables created.
Example
import pyspedas
from pytplot import tplot
nal_vars = pyspedas.mica.induction(site='NAL', trange=['2019-02-01','2019-02-02'])
tplot('spectra_x_1Hz_NAL')