__numpy_time_series[source]

__numpy_time_series(num_points=30, level=3, trend_amplitude=0.3333333333333333, sinus_amplitude=1, noise_amplitude=2.0, start=0, finish=12.566370614359172)

pandas_time_series[source]

pandas_time_series(ts_col='time_series', **kwargs)

Generates a Dataframe with simulated data

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Parameters

ts_column : str. Default 'time_series'. Name of time series column **kwargs : Argumetns of the __numpy_time-series

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Returns

Dataframe :

df = pandas_time_series()
fig = df.plot(backend='plotly')
fig.update_layout(template="plotly_dark",)