Power

Description

The Power class computes the power of each element in a data sequence.

Equation:

\[ f(x) = x^p \]

Parameters:

• p (double): Exponent of the power function.

NaN handling: NaN values are not modified by this function.

Usage Example and Plot

import numpy as np
import plotly.graph_objects as go
from plotly.subplots import make_subplots
from screamer import Power

data = np.random.normal(size=30)
result = Power(2)(data)

fig = make_subplots(
    rows=2, cols=1,
    shared_xaxes=True,
    row_heights=[1/2, 1/2],
    vertical_spacing=0.1
)

fig.add_trace(go.Scatter(y=data, mode='lines+markers', name='Original Data'), row=1, col=1)
fig.add_trace(go.Scatter(y=result, mode='lines+markers', name='Power of 2, square', line=dict(color='red')), row=2, col=1)

fig.update_layout(
    title="Power 2, square",
    xaxis_title="Index",
    yaxis_title="Original Data",
    yaxis2_title="Square",
    margin=dict(l=20, r=20, t=80, b=20),
    legend=dict(orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1)
)

fig.show()