def simple(self, df):
""" detrending using a line drawn through the first and last point. """
data, stats = df["data"], df["stats"]
delta = stats["delta"]
# get coefficients for forming line
x0, x1 = self._make_first_last_time_values(df, data, stats)
# get array of deltas
data_inds = data.columns.values.astype(int) * delta[:, np.newaxis]
# get offsets, subtract from current and return new df
offsets = data_inds.astype(int) * x1 + x0
new = data.values - offsets
return _new_waveframe_df(df, data=new)
def dropna(self, df, *args, **kwargs):
""" Drop data with NaN. """
data = df.data.dropna(*args, **kwargs)
df = _new_waveframe_df(df, data=data, allow_size_change=True)
return _update_df_times(df, inplace=True)
def fillna(self, df, *args, **kwargs):
""" Fill data with NaN. """
data = df.data.fillna(*args, **kwargs)
return _new_waveframe_df(df, data=data)
def constant(self, df):
""" A simple demeaning on the data via mean subtraction """
data = df.data.values
means = np.nanmean(data, axis=1)
out = data - means[:, np.newaxis]
return _new_waveframe_df(df, data=out)