Source code for pyspedas.projects.cnofs.plp

from .load import load

# Refer to __init__.py for revision history before load routines split out into separate files

[docs] def plp(trange=['2010-11-5', '2010-11-6'], prefix='', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False, force_download=False): """ This function loads data from the Planar Langmuir Probe (PLP) Parameters ---------- trange : list of str 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'] Default: ['2013-11-5', '2013-11-6'] prefix: str The tplot variable names will be given this prefix. Default: '', no suffix is added. suffix: str The tplot variable names will be given this suffix. 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. Default: False. 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. Default: None. All variables are loaded in. varnames: list of str List of variable names to load. Default: []. If not specified, all data variables are loaded downloadonly: bool Set this flag to download the CDF files, but not load them into tplot variables. Default: False notplot: bool Return the data in hash tables instead of creating tplot variables. Default: False no_update: bool If set, only load data from your local cache. Default: False time_clip: bool Time clip the variables to exactly the range specified in the trange keyword. Default: False force_download: bool Download file even if local version is more recent than server version Default: False Returns ---------- List of tplot variables created. Example: ---------- >>> import pyspedas >>> from pyspedas import tplot >>> plp_vars = pyspedas.projects.cnofs.plp(trange=['2010-11-5', '2010-11-6']) >>> tplot('Ni') """ return load(instrument='plp', trange=trange, prefix=prefix, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, time_clip=time_clip, no_update=no_update, force_download=force_download)