pypsa.Network.import_components_from_dataframe

pypsa.Network.import_components_from_dataframe#

Network.import_components_from_dataframe(dataframe: pd.DataFrame, cls_name: str) → None#

Import components from a pandas DataFrame.

This function is deprecated. Use :py:meth`pypsa.Network.add` instead. To get the same behavior for importing components from a DataFrame, use n.add(cls_name, df.index, **df).

If columns are missing then defaults are used. If extra columns are added, these are left in the resulting component dataframe.

Parameters:

  • dataframe (pandas.DataFrame) – A DataFrame whose index is the names of the components and whose columns are the non-default attributes.

  • cls_name (string) – Name of class of component, e.g. "Line", "Bus", "Generator", "StorageUnit"

Examples

>>> import pandas as pd
>>> buses = ['Berlin', 'Frankfurt', 'Munich', 'Hamburg']
>>> n.import_components_from_dataframe(
...     pd.DataFrame({"v_nom" : 380, "control" : 'PV'},
...                 index=buses),
...                 "Bus")
>>> n.import_components_from_dataframe(
...     pd.DataFrame({"carrier" : "solar", "bus" : buses, "p_nom_extendable" : True},
...                 index=[b+" PV" for b in buses]),
...                 "Generator")

See also

pypsa.Network.madd

Deprecated since version 0.29: This will be removed in 1.0. Use n.add instead. E.g. n.add(class_name, df.index, **df).

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