pyvista.Table

class Table(*args, **kwargs)

Wrapper for the vtkTable class.

Create by passing a 2D NumPy array of shape (n_rows by n_columns) or from a dictionary containing NumPy arrays.

Examples

>>> import pyvista as pv
>>> import numpy as np
>>> arrays = np.random.rand(100, 3)
>>> table = pv.Table(arrays)

Methods

Table.add_field_array(scalars, name[, deep])	Add field data.
Table.add_field_data(array, name[, deep])	Add field data.
Table.clear_field_arrays()	Remove all field data.
Table.clear_field_data()	Remove all field data.
Table.copy([deep])	Return a copy of the object.
Table.copy_attributes(dataset)	Copy the data attributes of the input dataset object.
Table.copy_meta_from(ido, deep)	Copy pyvista meta data onto this object from another object.
Table.copy_structure(dataset)	Copy the structure (geometry and topology) of the input dataset object.
Table.deep_copy(to_copy)	Overwrite this data object with another data object as a deep copy.
Table.get(index)	Get an array by its name.
Table.get_data_range([arr, preference])	Get the non-NaN min and max of a named array.
Table.head([display, html])	Return the header stats of this dataset.
Table.items()	Return the table items.
Table.keys()	Return the table keys.
Table.pop(name)	Pop off an array by the specified name.
Table.save(*args, **kwargs)	Save the table.
Table.shallow_copy(to_copy)	Shallow copy the given mesh to this mesh.
Table.to_pandas()	Create a Pandas DataFrame from this Table.
Table.update(data)	Set the table data using a dict-like update.
Table.values()	Return the table values.

Attributes

Table.actual_memory_size	Return the actual size of the dataset object.
Table.field_arrays	Return vtkFieldData as DataSetAttributes.
Table.field_data	Return FieldData as DataSetAttributes.
Table.memory_address	Get address of the underlying VTK C++ object.
Table.n_arrays	Return the number of columns.
Table.n_columns	Return the number of columns.
Table.n_rows	Return the number of rows.
Table.row_arrays	Return the all row arrays.