v0.5.4.dev0

• Add turn to the segments dataframe to capture whether the animal is turning right or left (0b0382a)
• Change NaN for is_correct to False so that indexing with this field is easier (54ae16f)
• Don't backfill interpolated position because now time is evenly spaced (75824f5)
• Change failure to load file from error to warning in logger (89e0531)
• Add linear position as a field in position_info (d571a65)

v0.5.3.dev0

• Use DIOs to segment trials and determine whether trials are rewarded (81f0662)

• Fix so that returns to the center well on an outbound trial are scored as incorrect (a3b541e)

• Require networkx >= 2.0 (6dc450e)

• Warn if file fails to load (7326c56)

v0.5.2.dev0

• Fixes issue with spike_indicator_dataframe where the epoch key was not being passed to get the trial time.

v0.5.1.dev0

• Make failure to load LFP a warning (8e4b344)
• Change default route_euclidean_distance_scaling (bc19772)
• Make default max_distance_from_well smaller (0512886)
• Don't need to keep index in dataframe because pandas allows groupby in the index now (fe2664f)
• Fix LFP timestamps (0cd9c95)
• Use the first available tetrode as trial time (9184101)
• Add get_LFPs utility function to make sure LFPs are all on the same timestamps (edd89ec)
• Make sure LFP data is of type float (69ea5d4)
• Interpolate position based on time between timestamps (50e06fd)
• Rework reshape_to_segments to use sampling frequency to get more accurate times (976f263)
• Be less restrictive about the default minimum distance animal has to travel to be classified as inbound/outbound (af61471)
• Allow user to set minimum distance animal has to travel (24928cb)
• Minor formatting

v0.3.5.dev0

• Add Animal namedtuple as a data stucture for defining information about that animal
• Catch TypeError in loadmat because scipy 1.0.0 is not throwing the usual FileNotFoundError
• remove unnecessary exit

Improved trajectory categorization

Label whole trajectories between wells instead of point by point.

Compute exposure

For the epoch dataframe, we compute the exposure instead of relying on the precomputed variable in the task matlab file. This is because it is not always computed in all datasets.

Fix package dependency for `save_xarray` function

0.2.1.dev0

Bump version

Fix path specification

0.2.0.dev0

Update version