chemcoord.Zmat
- class chemcoord.Zmat(frame, metadata=None, _metadata=None)[source]
The main class for dealing with internal Coordinates.
Rotational direction:
Chemcoord uses the IUPAC definition. Note that this does not include the automatic choosing of the canonical equivalence class representation. An angle of -30° could be represented by 270°. Use
iupacify()to choose also the IUPAC conform angle representation.Mathematical Operations:
The general rule is that mathematical operations using the binary operators
+ - * /and the unary operators+ - absare only applied to the['bond', 'angle', 'dihedral']columns.Addition/Subtraction/Multiplication/Division: The most common case is to add another Zmat instance. In this case it is tested, if the used references are the same. Afterwards the addition in the
['bond', 'angle', 'dihedral']columns is performed. If you add a scalar to a Zmat it is added elementwise onto the['bond', 'angle', 'dihedral']columns. If you add a 3-dimensional vector, list, tuple… the first element of this vector is added elementwise to the'bond'column of the Zmat instance and so on. The third possibility is to add a matrix withshape=(len(Zmat), 3)which is again added elementwise. The same rules are true for subtraction, division and multiplication.Indexing:
The indexing behaves like Indexing and Selecting data in Pandas. You can slice with
loc(),iloc(), andZmat[...]. The only question is about the return type. If the information in the columns is enough to draw a molecule, an instance of the own class (e.g.Zmat) is returned. If the information in the columns is enough to draw a molecule, an instance of the own class (e.g.Zmat) is returned. If the information in the columns is not enough to draw a molecule, there are two cases to consider:This means that:
molecule.loc[:, ['atom', 'b', 'bond', 'a', 'angle', 'd', 'dihedral']]returns aZmat.molecule.loc[:, ['atom', 'bond']]returns apandas.DataFrame.molecule.loc[:, 'atom']returns apandas.Series.Comparison:
Comparison for equality with
==is supported. It behaves exactly like the equality comparison of DataFrames in pandas. Amongst other things this means that the index has to be the same and the comparison of floating point numbers is exact and not numerical.Constructors
__init__(frame[, metadata, _metadata])Initialize a Zmat instance.
read_zmat(inputfile[, implicit_index])Read a zmat file.
copy()Export and IO
to_latex([buf, upper_triangle])Render a DataFrame to a tabular environment table.
to_string([format_abs_ref_as, ...])Render a DataFrame to a console-friendly tabular output.
to_xyz(*args, **kwargs)Deprecated, use
get_cartesian().to_zmat([buf, upper_triangle, ...])Write a zmat file.
write(*args, **kwargs)Deprecated, use
to_zmat().Methods
add_data([new_cols])Add a column with the requested data.
assign(idx, col, val)Return a copy where the value is assigned.
Return the molecule in cartesian coordinates.
get_electron_number([charge])Return the number of electrons.
get_grad_cartesian([as_function, chain, ...])Return the gradient for the transformation to a Cartesian.
Return the total mass in g/mol.
has_same_sumformula(other)Determine if
otherhas the same sum formula.insert(loc, column, value[, ...])Insert column into molecule at specified location.
iupacify()Give the IUPAC conform representation.
Give a representation of the dihedral with minimized absolute value.
sort_index([axis, level, ascending, ...])Sort object by labels (wrapper for pandas.DataFrame.sort_index).
sort_values(by[, axis, ascending, kind, ...])Sort by the values along either axis (wrapper for
pandas.DataFrame.sort_values()).subs(*args, **kwargs)Substitute a symbolic expression in
['bond', 'angle', 'dihedral']change_numbering([new_index])Change numbering to a new index.
Attributes
Return the columns (wrapper for pandas.DataFrame.columns).
Return the dtypes (wrapper for pandas.DataFrame.dtypes).
Integer position based indexing for obtaining elements.
Return the index (wrapper for pandas.DataFrame.index).
Label based indexing for obtaining elements.
Integer position based indexing for obtaining elements
Label based indexing for obtaining elements and assigning values safely.
Return the shape (wrapper for pandas.DataFrame.shape).
Integer position based indexing for obtaining elements
Label based indexing for obtaining elements