pypore.filetypes.data_file module¶
Created on Jan 28, 2014
@author: @parkin
- class pypore.filetypes.data_file.DataFile(filename, mode='r', title='', root_uep='/', filters=None, **kwargs)[source]¶
Bases: tables.file.File
PyTables HDF5 database storing raw data. Inherits from tables.file.File, so you can interact with this just as you would a PyTables File object. However, this contains some extra convenience methods for storing/reading data. Note that DataFile allows you to interact with this PyTables file in the usual PyTables file manner, so you can potentially mangle the data from the original DataFile format.
Automatically adds matrix /data
Must be instantiated by calling pypore.filetypes.data_file.open_file()
>>> import pypore.dataFile as df >>> database = df.open_file(tests,mode='w') >>> # Now do stuff with the DataFile >>> # ... >>> # Close and remove the DataFile >>> database.close() >>> os.remove(tests)
- clean_database()[source]¶
Removes /events and then re-initializes the /events group. Note that any references to any table/matrix in this group will be broken and need to be refreshed.
>>> h5 = open_file(tests,mode='a') >>> table = h5.get_event_table() >>> h5.clean_database() // table is now refers to deleted table >>> table = h5.get_event_table() // table now refers to live table
- pypore.filetypes.data_file.open_file(*args, **kargs)[source]¶
Opens a DataFile, which is a subclass of tables.file.File and can be treated as such.
Parameters: - args – Arguments that get passed to tables.openFile().
- kargs –
Arguments that get passed to tables.openFile(). Should additionally include:
- n_points: Number of points that should be in the array.
- sample_rate: Sample rate of the data.
Returns: pypore.filetypes.data_file.DataFile – an already opened pypore.filetypes.data_file.DataFile.
>>> import pypore.filetypes.data_file as df >>> df.open_file('tests.h5', mode='w')