TimeSeriesMetaData#

class sunpy.timeseries.TimeSeriesMetaData(meta=None, timerange=None, colnames=None)[source]#

Bases: object

Used to store metadata for TimeSeries that enables multiple sunpy.timeseries.TimeSeries metadata to be concatenated in an organized fashion.

Possible signatures:

TimeSeriesMetaData(meta=dict, timerange=TimeRange, colnames=list)
TimeSeriesMetaData(meta=tuple)
TimeSeriesMetaData(meta=list(tuples))
TimeSeriesMetaData(timerange=TimeRange)
TimeSeriesMetaData(timerange=TimeRange, colnames=list)

Parameters:

meta (dict, MetaDict, tuple, list) – The metadata giving details about the time series data/instrument. Defaults to None.
timerange (TimeRange) – A TimeRange representing the timespan of the data. Defaults to None.
colnames (list) – Column names. Defaults to None.

metadata#

The list of 3-tuples which each represent a source files metadata. The tuples consist of: (TimeRange, [colnames], MetaDict(metadata)).

Type:: list of tuple

Examples

>>> from sunpy.timeseries import TimeSeriesMetaData
>>> from sunpy.time import TimeRange, parse_time
>>> from sunpy.util import MetaDict
>>> tr = TimeRange('2012-06-01 00:00','2012-06-02 00:00')
>>> md = TimeSeriesMetaData(timerange=tr, colnames=['GOES'],
...                         meta=MetaDict([('goes_key','goes_val')]))
>>> tr2 = TimeRange('2012-06-01 12:00','2012-06-02 12:00')
>>> md.append(tr2, ['EVE'], MetaDict([('eve_key','eve_val')]))
>>> md.find(parse_time('2012-06-01T21:08:12'))
|-------------------------------------------------------------------------------------------------|
|TimeRange                  | Columns         | Meta                                              |
|-------------------------------------------------------------------------------------------------|
|2012-06-01T00:00:00.000    | GOES            | goes_key: goes_val                                |
|            to             |                 |                                                   |
|2012-06-02T00:00:00.000    |                 |                                                   |
|-------------------------------------------------------------------------------------------------|
|2012-06-01T12:00:00.000    | EVE             | eve_key: eve_val                                  |
|            to             |                 |                                                   |
|2012-06-02T12:00:00.000    |                 |                                                   |
|-------------------------------------------------------------------------------------------------|

>>> md.find(parse_time('2012-06-01T21:08:12')).columns
['EVE', 'GOES']
>>> md.find(parse_time('2012-06-01T21:08:12')).values()
['eve_val', 'goes_val']
>>> md.find(parse_time('2012-06-01T21:08:12')).metas
[MetaDict([('goes_key', 'goes_val')]), MetaDict([('eve_key', 'eve_val')])]
>>> md.find(parse_time('2012-06-01T21:08:12'), 'GOES')
|-------------------------------------------------------------------------------------------------|
|TimeRange                  | Columns         | Meta                                              |
|-------------------------------------------------------------------------------------------------|
|2012-06-01T00:00:00.000    | GOES            | goes_key: goes_val                                |
|            to             |                 |                                                   |
|2012-06-02T00:00:00.000    |                 |                                                   |
|-------------------------------------------------------------------------------------------------|

Attributes Summary

`columns`	Returns a list of all the names of the columns in the metadata.
`metas`	Returns a list of all the metadict objects in the `TimeSeriesMetaData`.
`time_range`	Returns the `TimeRange` of the entire timeseries metadata.
`timeranges`	Returns a list of all the `TimeRange` in the `TimeSeriesMetaData`.

Methods Summary

`append`(timerange, columns, metadata, **kwargs)	Add the given metadata into the current metadata.
`concatenate`(others)	Combine the metadata from a `TimeSeriesMetaData` or an iterable containing multiple `TimeSeriesMetaData` with the current `TimeSeriesMetaData` and return it as a new `TimeSeriesMetaData`.
`find`([time, colname])	Find all metadata matching the given filters.
`find_indices`([time, colname])	Find the indices for all the metadata entries matching the given filters.
`get`(keys[, time, colname])	Return a `TimeSeriesMetaData` with all entries matching the filters which also contain the given input key.
`get_index`(index)	Return the dictionary entry at the given index.
`to_string`([depth, width])	Print a table-like representation of the `TimeSeriesMetaData`.
`update`(dictionary[, time, colname, overwrite])	Updates the `TimeSeriesMetaData` for all matching metadata entries.
`values`()	Returns a list of all the values from the metadict objects in each entry in the `TimeSeriesMetaData`.

Attributes Documentation

columns#: Returns a list of all the names of the columns in the metadata.

metas#: Returns a list of all the metadict objects in the TimeSeriesMetaData.

time_range#: Returns the TimeRange of the entire timeseries metadata.

timeranges#: Returns a list of all the TimeRange in the TimeSeriesMetaData.

Methods Documentation

append(timerange, columns, metadata, **kwargs)[source]#

Add the given metadata into the current metadata.

Will add the new entry so the list is in chronological order.

Parameters:

timerange (TimeRange) – The timerange for which a given metadict is relevant. This will generally initially be the full range of the original file, but if the TimeSeries gets truncated this may change appropriately.
columns (list) – A list of the column name strings that the metadata is relevant for.
metadata (MetaDict or collections.OrderedDict or dict) – The object holding the metadata.

concatenate(others)[source]#

Combine the metadata from a TimeSeriesMetaData or an iterable containing multiple TimeSeriesMetaData with the current TimeSeriesMetaData and return it as a new TimeSeriesMetaData.

Parameters:: others (TimeSeriesMetaData or collections.abc.Iterable) – The second TimeSeriesMetaData object or an iterable containing multiple TimeSeriesMetaData objects.

find(time=None, colname=None)[source]#

Find all metadata matching the given filters.

Will return all metadata entries if no filters are given.

Parameters:

time (tuple, list, str, pandas.Timestamp, pandas.Series, pandas.DatetimeIndex, datetime.datetime, datetime.date, numpy.datetime64, numpy.ndarray, astropy.time.Time, optional) – A parse_time parsable string that you need metadata for. Defaults to None.
colname (str, optional) – A string that can be used to narrow results to specific columns. Defaults to None.

Returns:

TimeSeriesMetaData – A TimeSeriesMetaData that contain all matching metadata entries.

find_indices(time=None, colname=None)[source]#

Find the indices for all the metadata entries matching the given filters.

Will return all metadata entry indices if no filters are given.

Parameters:

time (tuple, list, str, pandas.Timestamp, pandas.Series, pandas.DatetimeIndex, datetime.datetime, datetime.date, numpy.datetime64, numpy.ndarray, astropy.time.Time, optional) – A parse_time parsable string that you need metadata for. Defaults to None.
colname (str, optional) – A string that can be used to narrow results to specific columns. Defaults to None.

Returns:

list – A list of integers that contain all matching metadata.

get(keys, time=None, colname=None)[source]#

Return a TimeSeriesMetaData with all entries matching the filters which also contain the given input key.

Parameters:

keys (str) – The Key/s to be searched in the dictionary.
time (tuple, list, str, pandas.Timestamp, pandas.Series, pandas.DatetimeIndex, datetime.datetime, datetime.date, numpy.datetime64, numpy.ndarray, astropy.time.Time, optional) – A parse_time parsable string that you need metadata for. Defaults to None.
colname (str, optional) – A string that can be used to narrow results to specific columns.

Returns:

metadata (TimeSeriesMetaData) – A TimeSeriesMetaData that contain all matching metadata entries but with only the requested key/value pairs in the MetaDict objects.

get_index(index)[source]#

Return the dictionary entry at the given index.

Parameters:: index (int) – The integer index of the metadata entry in the list.
Returns:: MetaDict – An ordered Dictionary containing the metadata at the given index.

to_string(depth=10, width=99)[source]#

Print a table-like representation of the TimeSeriesMetaData.

Parameters:

depth (int, optional) – The maximum number of lines to show for each entry. Metadata dictionaries and column lists will be truncated if this is small. Defaults to 10.
width (int, optional) – The number of characters wide to make the entire table. Defaults to 99.

update(dictionary, time=None, colname=None, overwrite=False)[source]#

Updates the TimeSeriesMetaData for all matching metadata entries.

Parameters:

dictionary (dict, collections.OrderedDict, MetaDict) – The second TimeSeriesMetaData object.
time (tuple, list, str, pandas.Timestamp, pandas.Series, pandas.DatetimeIndex, datetime.datetime, datetime.date, numpy.datetime64, numpy.ndarray, astropy.time.Time, optional) – A parse_time parsable string that you need metadata for. Defaults to None.
colname (str, optional) – A string that can be used to narrow results to specific columns. Defaults to None.
overwrite (bool, optional) – Allows the user to overwrite already present keys. Defaults to False

values()[source]#: Returns a list of all the values from the metadict objects in each entry in the TimeSeriesMetaData.