def calc_time_etc(self):
self.time_epoch = self.pd.time_epoch.groupby(
self.pd.index).mean().values
self.speed = self.pd.speed.groupby(self.pd.index).mean().values
self.nflies = data_slicing.get_nkeys_per_frame(self.pd)
self.time_epoch_continuous = np.linspace(np.min(self.time_epoch),
np.max(self.time_epoch),
len(self.nflies))
def load_data(self):
self.pd, self.config = mta.read_hdf5_file_to_pandas.load_and_preprocess_data(
self.data_filename)
self.path = self.config.path
self.dataset = read_hdf5_file_to_pandas.Dataset(self.pd)
filename = os.path.join(self.path,
'delete_cut_join_instructions.pickle')
if os.path.exists(filename):
f = open(filename, 'r+')
data = pickle.load(f)
f.close()
else:
data = []
self.instructions = data
# extract time and speed
self.time_epoch = self.pd.time_epoch.groupby(
self.pd.index).mean().values
self.speed = self.pd.speed.groupby(self.pd.index).mean().values
self.nflies = data_slicing.get_nkeys_per_frame(self.pd)
self.time_epoch_continuous = np.linspace(np.min(self.time_epoch),
np.max(self.time_epoch),
len(self.nflies))
def calc_time_etc(self):
self.time_epoch = self.pd.time_epoch.groupby(self.pd.index).mean().values
self.speed = self.pd.speed.groupby(self.pd.index).mean().values
self.nflies = data_slicing.get_nkeys_per_frame(self.pd)
self.time_epoch_continuous = np.linspace(np.min(self.time_epoch), np.max(self.time_epoch), len(self.nflies))