add more docstrings

neo/io/basefromrawio.py

@@ -87,7 +87,7 @@ def read_block(
         block_index: int, default: 0
             In the case of multiple blocks, the block_index specifies which block to read
         lazy: bool, default: False
-            Whether to read the block lazily (True) or load into memory (false)
+            Whether to read the block lazily (True) or load into memory (False)
         create_group_across_segment: bool | dict | None, default: None
             If True :
                 * Create a neo.Group to group AnalogSignal segments
@@ -98,9 +98,8 @@ def read_block(
                 * for example: create_group_across_segment = { 'AnalogSignal': True, 'SpikeTrain': False, ...}
         signal_group_mode: 'split-all' | 'group-by-same-units' | None, default: None
             This control behavior for grouping channels in AnalogSignal.
-                * 'split-all': each channel will give an AnalogSignal
-                * 'group-by-same-units' all channel sharing the same quantity units ar grouped in
-                a 2D AnalogSignal
+                * 'split-all': each channel will be give an AnalogSignal
+                * 'group-by-same-units' all channel sharing the same quantity units are grouped in a 2D AnalogSignal
             By default None since the default is dependant on the IO
         load_waveforms: bool, default: False
             Determines whether SpikeTrains.waveforms is created
@@ -221,20 +220,19 @@ def read_segment(
             Whether to lazily load the segment (True) or to load the segment into memory (False)
         signal_group_mode: 'split-all' | 'group-by-same-units' | None, default: None
            This control behavior for grouping channels in AnalogSignal.
-            * 'split-all': each channel will give an AnalogSignal
-            * 'group-by-same-units' all channel sharing the same quantity units ar grouped in
-            a 2D AnalogSignal
+            * 'split-all': each channel will be give an AnalogSignal
+            * 'group-by-same-units' all channel sharing the same quantity units are grouped in a 2D AnalogSignal
         load_waveforms: bool, default: False
             Determines whether SpikeTrains.waveforms is created
-        time_slice: tuple[float | None] | None, default: None
+        time_slice: tuple[quantity.Quantities | None] | None, default: None
             Whether to take a time slice of the data
-                * None: indicates from beginning of segment to the end of the segment
+                * None: indicates from beginning of the segment to the end of the segment
                 * tuple: (t_start, t_stop) with t_start and t_stop being quantities in seconds
                 * tuple: (None, t_stop) indicates the beginning of the segment to t_stop
                 * tuple: (t_start, None) indicates from t_start to the end of the segment
         strict_slicing: bool, default: True
             Control if an error is raised or not when t_start or t_stop
-             is outside the real time range of the segment.
+            is outside of the real time range of the segment.
 
         Returns
         -------
@@ -243,7 +241,7 @@ def read_segment(
         """
 
         if lazy:
-            assert time_slice is None, "For lazy=True you must specify time_slice when LazyObject.load(time_slice=...)"
+            assert time_slice is None, "For lazy=True you must specify a time_slice when LazyObject.load(time_slice=...)"
 
             assert (
                 not load_waveforms

neo/io/baseio.py

@@ -135,7 +135,7 @@ def read(self, lazy: bool = False, **kargs):
         
         Returns
         ------
-        block_list: list[neo.Block]
+        block_list: list[neo.core.Block]
             Returns all the data from the file as Blocks
         """
         if lazy and not self.support_lazy:
@@ -154,6 +154,17 @@ def read(self, lazy: bool = False, **kargs):
             raise NotImplementedError
 
     def write(self, bl, **kargs):
+        """
+        Writes a given block if IO supports writing
+
+        Parameters
+        ----------
+        bl: neo.core.Block
+            The neo Block to be written
+        kargs: dict
+            IO specific additional arguments
+            
+        """
         if Block in self.writeable_objects:
             if isinstance(bl, Sequence):
                 assert hasattr(self, "write_all_blocks"), (

neo/rawio/alphaomegarawio.py

@@ -47,20 +47,21 @@
 class AlphaOmegaRawIO(BaseRawIO):
     """
     AlphaOmega MPX file format 4 reader. Handles several segments.
-
-    A segment is a continuous record (when record starts/stops).
-
+    A segment is a continuous recording (when recording starts/stops).
     Only files in current `dirname` are loaded, subfolders are not explored.
 
-    :param dirname: folder from where to load the data
-    :type dirname: str or Path-like
-    :param lsx_files: list of lsx files in `dirname` referencing mpx files to
-        load (optional). If None (default), read all mpx files in `dirname`
-    :type lsx_files: list of strings or None
-    :param prune_channels: if True removes the empty channels, defaults to True
-    :type prune_channels: bool
-
-    .. warning::
+    Parameters
+    ----------
+    dirname: str | Path
+        The folder from which the data will be loaded
+    lsx_files: list[str] | None, default: None
+        List of lsx files in `dirname` referencing mpx files to load (optional)
+        If None all mpx files will be read
+    prune_channels: bool, default: True
+        If True removes the empty channels
+
+    Notes
+    -----
         Because channels must be gathered into coherent streams, channels names
         **must** be the default channel names in AlphaRS or Alpha LAB SNR
         software.

neo/rawio/axographrawio.py

@@ -174,52 +174,50 @@ class AxographRawIO(BaseRawIO):
     """
     RawIO class for reading AxoGraph files (.axgd, .axgx)
 
-    Args:
-        filename (string):
-            File name of the AxoGraph file to read.
-        force_single_segment (bool):
-            Episodic files are normally read as multi-Segment Neo objects. This
-            parameter can force AxographRawIO to put all signals into a single
-            Segment. Default: False.
-
-    Example:
+    Parameters
+    ----------
+    filename: str
+        File name of the AxoGraph file to read.
+    force_single_segment: bool, default: False
+        Episodic files are normally read as multi-Segment Neo objects. This
+        parameter can force AxographRawIO to put all signals into a single
+        Segment.
+
+    Examples
+    --------
         >>> import neo
-        >>> r = neo.rawio.AxographRawIO(filename=filename)
-        >>> r.parse_header()
-        >>> print(r)
+        >>> reader = neo.rawio.AxographRawIO(filename=filename)
+        >>> reader.parse_header()
+        >>> print(reader)
 
         >>> # get signals
-        >>> raw_chunk = r.get_analogsignal_chunk(
-        ...     block_index=0, seg_index=0,
-        ...     i_start=0, i_stop=1024,
-        ...     channel_names=channel_names)
-        >>> float_chunk = r.rescale_signal_raw_to_float(
-        ...     raw_chunk,
-        ...     dtype='float64',
-        ...     channel_names=channel_names)
+        >>> raw_chunk = reader.get_analogsignal_chunk(block_index=0,
+        ...                                           seg_index=0,
+        ...                                           i_start=0,
+        ...                                           i_stop=1024,
+        ...                                           channel_names=channel_names)
+        
+        >>> float_chunk = r.rescale_signal_raw_to_float(raw_chunk,
+        ...                                             dtype='float64',
+        ...                                             channel_names=channel_names)  
         >>> print(float_chunk)
 
         >>> # get event markers
-        >>> ev_raw_times, _, ev_labels = r.get_event_timestamps(
-        ...     event_channel_index=0)
-        >>> ev_times = r.rescale_event_timestamp(
-        ...     ev_raw_times, dtype='float64')
+        >>> ev_raw_times, _, ev_labels = reader.get_event_timestamps(event_channel_index=0)
+        >>> ev_times = reader.rescale_event_timestamp(ev_raw_times, dtype='float64')
         >>> print([ev for ev in zip(ev_times, ev_labels)])
 
         >>> # get interval bars
-        >>> ep_raw_times, ep_raw_durations, ep_labels = r.get_event_timestamps(
-        ...     event_channel_index=1)
-        >>> ep_times = r.rescale_event_timestamp(
-        ...     ep_raw_times, dtype='float64')
-        >>> ep_durations = r.rescale_epoch_duration(
-        ...     ep_raw_durations, dtype='float64')
+        >>> ep_raw_times, ep_raw_durations, ep_labels = reader.get_event_timestamps(event_channel_index=1)
+        >>> ep_times = reader.rescale_event_timestamp(ep_raw_times, dtype='float64')
+        >>> ep_durations = reader.rescale_epoch_duration(ep_raw_durations, dtype='float64') 
         >>> print([ep for ep in zip(ep_times, ep_durations, ep_labels)])
 
         >>> # get notes
-        >>> print(r.info['notes'])
+        >>> print(reader.info['notes'])
 
         >>> # get other miscellaneous info
-        >>> print(r.info)
+        >>> print(reader.info)
     """
 
     name = "AxographRawIO"

neo/rawio/axonarawio.py

@@ -32,25 +32,36 @@
 
 class AxonaRawIO(BaseRawIO):
     """
-    Class for reading raw, continuous data from the Axona dacqUSB system:
+    Class for reading raw, continuous data from the Axona dacqUSB system
+
+    Parameters
+    ----------
+    filename: str
+        The name of the *.bin file containing the data
+
+    Notes
+    -----
+
     http://space-memory-navigation.org/DacqUSBFileFormats.pdf
 
     The raw data is saved in .bin binary files with an accompanying .set
     file about the recording setup (see the above manual for details).
 
-    Usage::
-
-        import neo.rawio
-        r = neo.rawio.AxonaRawIO(filename=os.path.join(dir_name, base_filename))
-        r.parse_header()
-        print(r)
-        raw_chunk = r.get_analogsignal_chunk(block_index=0, seg_index=0,
-                                             i_start=0, i_stop=1024,
-                                             channel_names=channel_names)
-        float_chunk = reader.rescale_signal_raw_to_float(
-            raw_chunk, dtype='float64',
-            channel_indexes=[0, 3, 6]
-        )
+    Examples
+    --------
+
+        >>> import neo.rawio
+        >>> r = neo.rawio.AxonaRawIO(filename=os.path.join(dir_name, base_filename))
+        >>> r.parse_header()
+        >>> print(r)
+        >>> raw_chunk = r.get_analogsignal_chunk(block_index=0,
+                                                 seg_index=0,
+                                                 i_start=0,
+                                                 i_stop=1024,
+                                                 channel_names=channel_names)
+        >>> float_chunk = reader.rescale_signal_raw_to_float(raw_chunk,
+                                                             dtype='float64',
+                                                             channel_indexes=[0, 3, 6])
 
     """
 

neo/rawio/axonrawio.py

@@ -53,6 +53,29 @@
 
 
 class AxonRawIO(BaseRawIO):
+    """
+    Class for Class for reading data from pCLAMP and AxoScope files (.abf version 1 and 2)
+    
+    Parameters
+    ----------
+    filename: str, default: ''
+        The *.abf file to be read
+    
+    Notes
+    -----
+    This code is a port of abfload and abf2load written in Matlab (BSD-2-Clause licence) by
+    Copyright (c) 2009, Forrest Collman, [email protected]
+    Copyright (c) 2004, Harald Hentschke
+
+    Examples
+    --------
+
+    >>> import neo.rawio
+    >>> reader = neo.rawio.AxonRawIO(filename='mydata.abf')
+    >>> reader.parse_header()
+    >>> print(reader)
+
+    """
     extensions = ["abf"]
     rawmode = "one-file"