ORDERED_TRIPLE_2_SURFACE

Convert an OrderedTriple DataContainer to a Surface DataContainer. Params: default : OrderedTriple The input OrderedTriple to which we apply the conversion to. Returns: out : Surface The surface result from the conversion of the input.

Python Code

from flojoy import flojoy, OrderedTriple, Surface
import numpy as np


@flojoy
def ORDERED_TRIPLE_2_SURFACE(default: OrderedTriple) -> Surface:
    """Convert an OrderedTriple DataContainer to a Surface DataContainer.

    Parameters
    ----------
    default : OrderedTriple
        The input OrderedTriple to which we apply the conversion to.

    Returns
    -------
    Surface
        The surface result from the conversion of the input.
    """

    x = np.unique(default.x)
    y = np.unique(default.y)

    z_size = len(x) * len(y)

    # Truncate or pad the z array to match the desired size
    if z_size > len(default.z):
        z = np.pad(default.z, (0, z_size - len(default.z)), mode="constant").reshape(
            len(y), len(x)
        )
    else:
        z = default.z[:z_size].reshape(len(y), len(x))

    X, Y = np.meshgrid(x, y)
    return Surface(x=X, y=Y, z=z)

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Example

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In this example we started with the PLOTLY_DATASET node to generate a DataFrame which we passed to a type casting node DF_2_ORDERED_TRIPLE to convert DataFrame into OrderedTriple type of DataContainer class.

Then we used ORDERED_TRIPLE_2_SURFACE node to cast OrderedTriple to Surface DataContainer type. Finally we vizualized output with Plotly visualizer node SURFACE3D.