SURFACE_3D

Excel Usage

=SURFACE_3D(data, title, xlabel, ylabel, zlabel, color_map, colorbar)

• data (list[list], required): Input Z-data.
• title (str, optional, default: null): Chart title.
• xlabel (str, optional, default: null): Label for X-axis.
• ylabel (str, optional, default: null): Label for Y-axis.
• zlabel (str, optional, default: null): Label for Z-axis.
• color_map (str, optional, default: “viridis”): Color map for the surface.
• colorbar (str, optional, default: “true”): Show colorbar.

Returns (object): Matplotlib Figure object (standard Python) or base64 encoded PNG string (Pyodide).

Examples

Example 1: Basic 3D surface plot

Inputs:

data
1	2	3
4	5	6
7	8	9

Excel formula:

=SURFACE_3D({1,2,3;4,5,6;7,8,9})

Expected output:

"chart"

Example 2: Surface with labels and colorbar

Inputs:

data			title	xlabel	ylabel	zlabel	colorbar
1	4	9	Surface Plot	X	Y	Z	true
2	5	10
3	6	11

Excel formula:

=SURFACE_3D({1,4,9;2,5,10;3,6,11}, "Surface Plot", "X", "Y", "Z", "true")

Expected output:

"chart"

Example 3: Using plasma colormap

Inputs:

data			color_map
0	1	2	plasma
1	2	3
2	3	4
3	4	5

Excel formula:

=SURFACE_3D({0,1,2;1,2,3;2,3,4;3,4,5}, "plasma")

Expected output:

"chart"

Example 4: Surface without colorbar

Inputs:

data			colorbar
5	10	15	false
20	25	30
35	40	45

Excel formula:

=SURFACE_3D({5,10,15;20,25,30;35,40,45}, "false")

Expected output:

"chart"

Python Code

import sys
import matplotlib
IS_PYODIDE = sys.platform == "emscripten"
if IS_PYODIDE:
    matplotlib.use('Agg')
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import io
import base64
import numpy as np

def surface_3d(data, title=None, xlabel=None, ylabel=None, zlabel=None, color_map='viridis', colorbar='true'):
    """
    Create a 3D surface plot.

    See: https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot_surface.html

    This example function is provided as-is without any representation of accuracy.

    Args:
        data (list[list]): Input Z-data.
        title (str, optional): Chart title. Default is None.
        xlabel (str, optional): Label for X-axis. Default is None.
        ylabel (str, optional): Label for Y-axis. Default is None.
        zlabel (str, optional): Label for Z-axis. Default is None.
        color_map (str, optional): Color map for the surface. Valid options: Viridis, Plasma, Inferno, Magma, Cividis. Default is 'viridis'.
        colorbar (str, optional): Show colorbar. Valid options: True, False. Default is 'true'.

    Returns:
        object: Matplotlib Figure object (standard Python) or base64 encoded PNG string (Pyodide).
    """
    def to2d(x):
        return [[x]] if not isinstance(x, list) else x

    try:
        data = to2d(data)

        if not isinstance(data, list) or not all(isinstance(row, list) for row in data):
            return "Error: Invalid input - data must be a 2D list"

        # Validate and convert to numpy array
        try:
            z_data = np.array(data, dtype=float)
        except (TypeError, ValueError) as e:
            return f"Error: Non-numeric values in data: {str(e)}"

        if z_data.ndim != 2:
            return "Error: Data must be a 2D array"

        if z_data.shape[0] < 2 or z_data.shape[1] < 2:
            return "Error: Surface requires at least 2x2 grid"

        # Create X and Y meshgrid
        rows, cols = z_data.shape
        x_grid = np.arange(cols)
        y_grid = np.arange(rows)
        X, Y = np.meshgrid(x_grid, y_grid)

        # Create figure
        fig = plt.figure(figsize=(10, 7))
        ax = fig.add_subplot(111, projection='3d')

        # Create surface plot
        surf = ax.plot_surface(X, Y, z_data, cmap=color_map, alpha=0.8, edgecolor='none')

        # Set labels
        if title:
            ax.set_title(title)
        if xlabel:
            ax.set_xlabel(xlabel)
        if ylabel:
            ax.set_ylabel(ylabel)
        if zlabel:
            ax.set_zlabel(zlabel)

        # Add colorbar if requested
        if colorbar == "true":
            fig.colorbar(surf, ax=ax, shrink=0.5, aspect=5)

        # Return based on platform
        if IS_PYODIDE:
            buf = io.BytesIO()
            plt.savefig(buf, format='png', dpi=100, bbox_inches='tight')
            buf.seek(0)
            img_base64 = base64.b64encode(buf.read()).decode('utf-8')
            plt.close(fig)
            return f"data:image/png;base64,{img_base64}"
        else:
            return fig
    except Exception as e:
        return f"Error: {str(e)}"

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