Array#
- class pybamm.Array(entries, name=None, domain=None, auxiliary_domains=None, domains=None, entries_string=None)[source]#
Node in the expression tree that holds an tensor type variable (e.g.
numpy.array
)- Parameters:
entries (numpy.array or list) – the array associated with the node. If a list is provided, it is converted to a numpy array
name (str, optional) – the name of the node
domain (iterable of str, optional) – list of domains the parameter is valid over, defaults to empty list
auxiliary_domains (dict, optional) – dictionary of auxiliary domains, defaults to empty dict
domains (dict) – A dictionary equivalent to {‘primary’: domain, auxiliary_domains}. Either ‘domain’ and ‘auxiliary_domains’, or just ‘domains’, should be provided (not both). In future, the ‘domain’ and ‘auxiliary_domains’ arguments may be deprecated.
entries_string (str) – String representing the entries (slow to recalculate when copying)
Extends:
pybamm.expression_tree.symbol.Symbol
- property ndim#
returns the number of dimensions of the tensor.
- property shape#
returns the number of entries along each dimension.
- pybamm.linspace(start, stop, num=50, **kwargs)[source]#
Creates a linearly spaced array by calling numpy.linspace with keyword arguments ‘kwargs’. For a list of ‘kwargs’ see the numpy linspace documentation
- pybamm.meshgrid(x, y, **kwargs)[source]#
Return coordinate matrices as from coordinate vectors by calling numpy.meshgrid with keyword arguments ‘kwargs’. For a list of ‘kwargs’ see the numpy meshgrid documentation