chemistry_tools.formulae.dataarray
Attention
This module has the following additional requirements:
cawdrey>=0.5.0 mathematical>=0.5.1 pyparsing>=2.4.6 tabulate>=0.8.9
These can be installed as follows:
python -m pip install chemistry-tools[formulae]
Provides a base class which can output data as a pandas.DataFrame,
to CSV, or as a pretty-printed table in a variety of formats.
-
class
DataArray(formula, data)[source] Bases:
FrozenOrderedDictA class which can output data as a
pandas.DataFrame, to CSV, or as a pretty-printed table in a variety of formats.To use this class it must first be subclassed. Subclasses must implement
as_array()which handles the conversion of the data to a list of lists of values.- Parameters
Attributes:
Methods:
__contains__(key)Return
key in self.__eq__(other)Return
self == other.__getitem__(key)Return
self[key].__iter__()Iterates over the dictionary’s keys.
__len__()Returns the number of keys in the dictionary.
__repr__()Return a string representation of the
DataArray.__str__()Return
str(self).as_array(sort_by[, reverse])Must be implemented in subclasses to hand the conversion of the data to a list of lists of values.
as_csv(*args[, sep])Returns the data as a CSV formatted string.
as_dataframe(*args, **kwargs)Returns the isotope distribution data as a
pandas.DataFrame.as_table(*args, **kwargs)Returns the isotope distribution data as a table using tabulate.
copy(*args, **kwargs)Return a copy of the
FrozenOrderedDict.fromkeys(iterable[, value])Create a new dictionary with keys from iterable and values set to value.
get(k[, default])Return the value for
kifkis in the dictionary, elsedefault.items()Returns a set-like object providing a view on the
FrozenOrderedDict's items.keys()Returns a set-like object providing a view on the
FrozenOrderedDict's keys.values()Returns an object providing a view on the
FrozenOrderedDict's values.-
__class_getitem__= <bound method GenericAlias of <class 'chemistry_tools.formulae.dataarray.DataArray'>> Type:
MethodType
-
__getitem__(key) Return
self[key].- Parameters
key (
~KT)- Return type
~VT
-
abstract
as_array(sort_by, reverse=False)[source] Must be implemented in subclasses to hand the conversion of the data to a list of lists of values.
-
as_csv(*args, sep=',', **kwargs)[source] Returns the data as a CSV formatted string.
- Parameters
*args – Arguments passed to
as_array().sep (
str) – The separator for the CSV data. Default','.**kwargs – Additional keyword arguments passed to
as_array().
- Return type
-
as_dataframe(*args, **kwargs)[source] Returns the isotope distribution data as a
pandas.DataFrame.Any arguments taken by
as_array()can also be used here.- Return type
-
as_table(*args, **kwargs)[source] Returns the isotope distribution data as a table using tabulate.
Any arguments taken by
as_array()can also be used here.Additionally, any valid keyword argument for
tabulate.tabulate()can be used.- Return type
-
copy(*args, **kwargs) Return a copy of the
FrozenOrderedDict.- Parameters
args
kwargs
-
classmethod
fromkeys(iterable, value=None) Create a new dictionary with keys from iterable and values set to value.
- Return type
FrozenBase[~KT,~VT]
-
get(k, default=None) Return the value for
kifkis in the dictionary, elsedefault.- Parameters
k – The key to return the value for.
default – The value to return if
keyis not in the dictionary. DefaultNone.
-
items() Returns a set-like object providing a view on the
FrozenOrderedDict's items.- Return type
AbstractSet[Tuple[~KT,~VT]]
-
keys() Returns a set-like object providing a view on the
FrozenOrderedDict's keys.- Return type
AbstractSet[~KT]
-
values() Returns an object providing a view on the
FrozenOrderedDict's values.- Return type
ValuesView[~VT]