pysdic.PointCloud.is_nan

PointCloud.is_nan()

Check which points in the point cloud are NaN.

This method returns a boolean mask indicating which points in the point cloud contain NaN values.

See also

• all_finite() method for checking if all points are finite.

• is_finite() method for getting a boolean mask of finite points.

Returns:

A 1D boolean NumPy array of shape \((N_p,)\) where \(N_p\) is the number of points in the point cloud. Each element is True if the corresponding point contains any NaN value, and False otherwise.

Return type:

numpy.ndarray

Examples

Create a PointCloud from a NumPy array containing some NaN values.

import numpy as np
from pysdic import PointCloud

# Create a point cloud with some NaN values
points = np.array([[0.0, 1.0, 2.0],
                   [np.nan, 1.0, 2.0],
                   [3.0, 4.0, 5.0],
                   [6.0, np.nan, 8.0]])
point_cloud = PointCloud.from_array(points)

Check which points are NaN using the is_nan() method.

nan_mask = point_cloud.is_nan()
print(nan_mask)
# Output: [False  True False  True]