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@ -34,19 +34,55 @@ class Nd2(Nd2Parser): |
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""" |
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return self._image_count * self._channel_count |
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def __getitem__(self, frame_number): |
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if isinstance(frame_number, int): |
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def __getitem__(self, item): |
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""" |
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Allows slicing ND2s. |
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>>> nd2 = Nd2("my_images.nd2") |
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>>> image = nd2[16] # gets 17th frame |
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>>> for image in nd2[100:200]: # iterate over the 100th to 200th images |
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>>> do_something(image.data) |
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>>> for image in nd2[::-1]: # iterate backwards |
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>>> do_something(image.data) |
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>>> for image in nd2[37:422:17]: # do something super weird if you really want to |
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>>> do_something(image.data) |
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:type item: int or slice |
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:rtype: nd2reader.model.Image() or generator |
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""" |
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if isinstance(item, int): |
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try: |
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channel_offset = frame_number % len(self.channels) |
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fov = self._calculate_field_of_view(frame_number) |
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channel = self._calculate_channel(frame_number) |
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z_level = self._calculate_z_level(frame_number) |
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timestamp, raw_image_data = self._get_raw_image_data(frame_number, channel_offset) |
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channel_offset = item % len(self.channels) |
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fov = self._calculate_field_of_view(item) |
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channel = self._calculate_channel(item) |
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z_level = self._calculate_z_level(item) |
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timestamp, raw_image_data = self._get_raw_image_data(item, channel_offset) |
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image = Image(timestamp, raw_image_data, fov, channel, z_level, self.height, self.width) |
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except (TypeError, ValueError): |
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return None |
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else: |
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return image |
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elif isinstance(item, slice): |
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return self._slice(item.start, item.stop, item.step) |
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raise IndexError |
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def _slice(self, start, stop, step): |
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""" |
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Allows for iteration over a selection of the entire dataset. |
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:type start: int |
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:type stop: int |
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:type step: int |
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:rtype: nd2reader.model.Image() or None |
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""" |
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start = start if start is not None else 0 |
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step = step if step is not None else 1 |
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stop = stop if stop is not None else len(self) |
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# This weird thing with the step allows you to iterate backwards over the images |
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for i in range(start, stop)[::step]: |
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yield self[i] |
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@property |
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def image_sets(self): |
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