src.dackar.anomalies.plotUtils

Attributes

logger
fontsize

Functions

plot_data(df, mp[, title, sharex, gridspec_kw])	plot data from pandas dataframe (column-wise)
plot_kdp(df[, title, sharex, gridspec_kw])	plot K-dimensional profile from pandas dataframe (column-wise)
plot_anomaly(df, mps, anomalies_idx, m[, title, ...])	Plot anomalies for given data

Module Contents

src.dackar.anomalies.plotUtils.logger

src.dackar.anomalies.plotUtils.fontsize = '12'

src.dackar.anomalies.plotUtils.plot_data(df, mp, title='Data vs. Matrix Profile', sharex=True, gridspec_kw={'hspace': 0})

plot data from pandas dataframe (column-wise)

Parameters:

• df (pandas.dataframe) – data

• title (str, optional) – title for the plot. Defaults to ‘’.

• sharex (bool, optional) – share x-axis. Defaults to True.

• gridspec_kw (dict, optional) – grid option for plots. Defaults to {‘hspace’:0}.

src.dackar.anomalies.plotUtils.plot_kdp(df, title='K-Dimensional Profile', sharex=True, gridspec_kw={'hspace': 0})

plot K-dimensional profile from pandas dataframe (column-wise)

Parameters:

• df (pandas.dataframe) – K-dimensional profile

• title (str, optional) – title for the plot. Defaults to ‘’.

• sharex (bool, optional) – share x-axis. Defaults to True.

• gridspec_kw (dict, optional) – grid option for plots. Defaults to {‘hspace’:0}.

src.dackar.anomalies.plotUtils.plot_anomaly(df, mps, anomalies_idx, m, title=None, sharex=True, gridspec_kw={'hspace': 0})

Plot anomalies for given data

Parameters:

• df (pandas.DataFrame) – _description_

• mps (dict) – dictionary of matrix profiles of df

• anomalies_idx (dict) – dictionary of anomaly indices

• m (int) – length of slide window

• title (str, optional) – title for the plot. Defaults to None.

• sharex (bool, optional) – share x-axis. Defaults to True.

• gridspec_kw (dict, optional) – _description_. Defaults to {‘hspace’:0}.