Imager for Magnetopause-to-Aurora Global Exploration (IMAGE)
The routines in this module can be used to load data from the IMAGE ission.
Low-Energy Neutral Atom (LENA) imager
- pyspedas.image.lena(trange=['2004-11-5', '2004-11-6'], datatype='k0', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False)[source]
Loads IMAGE LENA data.
- Parameters:
trange (
list
ofstr
, optional) – Time range of interest 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’]. Defaults to [‘2004-11-5’, ‘2004-11-6’].datatype (
str
, optional) – Data type. Defaults to ‘k0’.suffix (
str
, optional) – The tplot variable names will be given this suffix. Defaults to ‘’.get_support_data (
bool
, optional) – 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”. Defaults to False.varformat (
str
, optional) – The file variable formats to load into tplot. Wildcard character “*” is accepted. By default, all variables are loaded in. Defaults to None.varnames (
list
ofstr
, optional) – List of variable names to load. If not specified, all data variables are loaded. Defaults to [].downloadonly (
bool
, optional) – Set this flag to download the CDF files, but not load them into tplot variables. Defaults to False.notplot (
bool
, optional) – Return the data in hash tables instead of creating tplot variables. Defaults to False.no_update (
bool
, optional) – If set, only load data from your local cache. Defaults to False.time_clip (
bool
, optional) – Time clip the variables to exactly the range specified in the trange keyword. Defaults to False.
- Returns:
List of tplot variables created.
- Return type:
Medium-Energy Neutral Atom (MENA) imager
- pyspedas.image.mena(trange=['2004-11-5', '2004-11-6'], datatype='k0', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False)[source]
Loads IMAGE MENA data.
- Parameters:
trange (
list
ofstr
, optional) – Time range of interest 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’]. Defaults to [‘2004-11-5’, ‘2004-11-6’].datatype (
str
, optional) – Data type. Defaults to ‘k0’.suffix (
str
, optional) – The tplot variable names will be given this suffix. Defaults to ‘’.get_support_data (
bool
, optional) – 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”. Defaults to False.varformat (
str
, optional) – The file variable formats to load into tplot. Wildcard character “*” is accepted. By default, all variables are loaded in. Defaults to None.varnames (
list
ofstr
, optional) – List of variable names to load. If not specified, all data variables are loaded. Defaults to [].downloadonly (
bool
, optional) – Set this flag to download the CDF files, but not load them into tplot variables. Defaults to False.notplot (
bool
, optional) – Return the data in hash tables instead of creating tplot variables. Defaults to False.no_update (
bool
, optional) – If set, only load data from your local cache. Defaults to False.time_clip (
bool
, optional) – Time clip the variables to exactly the range specified in the trange keyword. Defaults to False.
- Returns:
List of tplot variables created.
- Return type:
High-Energy Neutral Atom (HENA) imager
- pyspedas.image.hena(trange=['2004-11-5', '2004-11-6'], datatype='k0', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False)[source]
Loads IMAGE HENA data.
- Parameters:
trange (
list
ofstr
, optional) – Time range of interest 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’]. Defaults to [‘2004-11-5’, ‘2004-11-6’].datatype (
str
, optional) – Data type. Defaults to ‘k0’.suffix (
str
, optional) – The tplot variable names will be given this suffix. Defaults to ‘’.get_support_data (
bool
, optional) – 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”. Defaults to False.varformat (
str
, optional) – The file variable formats to load into tplot. Wildcard character “*” is accepted. By default, all variables are loaded in. Defaults to None.varnames (
list
ofstr
, optional) – List of variable names to load. If not specified, all data variables are loaded. Defaults to [].downloadonly (
bool
, optional) – Set this flag to download the CDF files, but not load them into tplot variables. Defaults to False.notplot (
bool
, optional) – Return the data in hash tables instead of creating tplot variables. Defaults to False.no_update (
bool
, optional) – If set, only load data from your local cache. Defaults to False.time_clip (
bool
, optional) – Time clip the variables to exactly the range specified in the trange keyword. Defaults to False.
- Returns:
List of tplot variables created.
- Return type:
Radio Plasma Imaging (RPI)
- pyspedas.image.rpi(trange=['2004-11-5', '2004-11-6'], datatype='k0', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False)[source]
Loads IMAGE RPI data.
- Parameters:
trange (
list
ofstr
, optional) – Time range of interest 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’]. Defaults to [‘2004-11-5’, ‘2004-11-6’].datatype (
str
, optional) – Data type. Defaults to ‘k0’.suffix (
str
, optional) – The tplot variable names will be given this suffix. Defaults to ‘’.get_support_data (
bool
, optional) – 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”. Defaults to False.varformat (
str
, optional) – The file variable formats to load into tplot. Wildcard character “*” is accepted. By default, all variables are loaded in. Defaults to None.varnames (
list
ofstr
, optional) – List of variable names to load. If not specified, all data variables are loaded. Defaults to [].downloadonly (
bool
, optional) – Set this flag to download the CDF files, but not load them into tplot variables. Defaults to False.notplot (
bool
, optional) – Return the data in hash tables instead of creating tplot variables. Defaults to False.no_update (
bool
, optional) – If set, only load data from your local cache. Defaults to False.time_clip (
bool
, optional) – Time clip the variables to exactly the range specified in the trange keyword. Defaults to False.
- Returns:
List of tplot variables created.
- Return type:
Extreme Ultraviolet Imager (EUV)
- pyspedas.image.euv(trange=['2004-11-5', '2004-11-6'], datatype='k0', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False)[source]
Loads IMAGE EUV data.
- Parameters:
trange (
list
ofstr
, optional) – Time range of interest 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’]. Defaults to [‘2004-11-5’, ‘2004-11-6’].datatype (
str
, optional) – Data type. Defaults to ‘k0’.suffix (
str
, optional) – The tplot variable names will be given this suffix. Defaults to ‘’.get_support_data (
bool
, optional) – 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”. Defaults to False.varformat (
str
, optional) – The file variable formats to load into tplot. Wildcard character “*” is accepted. By default, all variables are loaded in. Defaults to None.varnames (
list
ofstr
, optional) – List of variable names to load. If not specified, all data variables are loaded. Defaults to [].downloadonly (
bool
, optional) – Set this flag to download the CDF files, but not load them into tplot variables. Defaults to False.notplot (
bool
, optional) – Return the data in hash tables instead of creating tplot variables. Defaults to False.no_update (
bool
, optional) – If set, only load data from your local cache. Defaults to False.time_clip (
bool
, optional) – Time clip the variables to exactly the range specified in the trange keyword. Defaults to False.
- Returns:
List of tplot variables created.
- Return type:
Far Ultraviolet Imager (FUV)
- pyspedas.image.fuv(trange=['2004-11-5', '2004-11-6'], datatype='k0', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False)[source]
Loads IMAGE FUV data.
- Parameters:
trange (
list
ofstr
, optional) – Time range of interest 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’]. Defaults to [‘2004-11-5’, ‘2004-11-6’].datatype (
str
, optional) – Data type. Defaults to ‘k0’.suffix (
str
, optional) – The tplot variable names will be given this suffix. Defaults to ‘’.get_support_data (
bool
, optional) – 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”. Defaults to False.varformat (
str
, optional) – The file variable formats to load into tplot. Wildcard character “*” is accepted. By default, all variables are loaded in. Defaults to None.varnames (
list
ofstr
, optional) – List of variable names to load. If not specified, all data variables are loaded. Defaults to [].downloadonly (
bool
, optional) – Set this flag to download the CDF files, but not load them into tplot variables. Defaults to False.notplot (
bool
, optional) – Return the data in hash tables instead of creating tplot variables. Defaults to False.no_update (
bool
, optional) – If set, only load data from your local cache. Defaults to False.time_clip (
bool
, optional) – Time clip the variables to exactly the range specified in the trange keyword. Defaults to False.
- Returns:
List of tplot variables created.
- Return type:
Orbit data
- pyspedas.image.orbit(trange=['2004-11-5', '2004-11-6'], datatype='def_or', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False)[source]
Loads IMAGE orbit data.
- Parameters:
trange (
list
ofstr
) – Time range of interest 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’].datatype (
str
) – Data type. Valid options are not specified in the function signature.suffix (
str
, optional) – The tplot variable names will be given this suffix. By default, no suffix is added.get_support_data (
bool
, optional) – 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
, optional) – The file variable formats to load into tplot. Wildcard character “*” is accepted. By default, all variables are loaded in.varnames (
list
ofstr
, optional) – List of variable names to load. If not specified, all data variables are loaded.downloadonly (
bool
, optional) – Set this flag to download the CDF files, but not load them into tplot variables.notplot (
bool
, optional) – Return the data in hash tables instead of creating tplot variables.no_update (
bool
, optional) – If set, only load data from your local cache.time_clip (
bool
, optional) – Time clip the variables to exactly the range specified in the trange keyword.
- Returns:
List of tplot variables created.
- Return type: