neuralib.plot.plot.scatter_binx_plot

neuralib.plot.plot.scatter_binx_plot(ax, x, y, bins=10, *, order=1, linear_reg=True, bin_func='median', **kwargs)[source]

Regression to see the relationship between x and y

Dimension parameters:

N = number of sample points

Parameters:

  • ax (Axes) – Axes

  • x (ndarray) – Numerical array. Array[float, N]

  • y (ndarray) – Numerical array. Array[float, N]

  • bins (int | Sequence[float] | str) – passed to numpy.histogram()

  • order (int) – If order is greater than 1, use numpy.polyfit to estimate a polynomial regression

  • linear_reg (bool) – Show linear correlation coefficient

  • bin_func (Literal['median', 'mean']) – Literal[‘median’, ‘mean’]. default is median

  • kwargs – additional args passed to ax.set

Returns: