"""
Module providing `DictImportExport` and `PandasImportExport` (requiring a
working installation of pandas).
"""
import numpy as np
from .importexport import ImportExport
[docs]class DictImportExport(ImportExport):
"""
An importer/exporter for variables in format of dict of numpy arrays.
"""
@property
def name(self):
return "dict"
[docs] @staticmethod
def export_data(group, variables, units=True, level=0):
data = {}
for var in variables:
data[var] = np.array(group.state(var, use_units=units,
level=level+1),
copy=True, subok=True)
return data
[docs] @staticmethod
def import_data(group, data, units=True, level=0):
for key, value in data.items():
if getattr(group.variables[key], 'read_only'):
raise TypeError(f'Variable {key} is read-only.')
group.state(key, use_units=units, level=level+1)[:] = value
[docs]class PandasImportExport(ImportExport):
"""
An importer/exporter for variables in pandas DataFrame format.
"""
@property
def name(self):
return "pandas"
[docs] @staticmethod
def export_data(group, variables, units=True, level=0):
# pandas is not a default brian2 dependency, only import it here
try:
import pandas as pd
except ImportError as ex:
raise ImportError("Exporting to pandas needs a working installation"
" of pandas. Importing pandas failed: " + str(ex))
if units:
raise NotImplementedError("Units not supported when exporting to "
"pandas data frame")
# we take advantage of the already implemented exporter
data = DictImportExport.export_data(group, variables,
units=units, level=level)
pandas_data = pd.DataFrame(data)
return pandas_data
[docs] @staticmethod
def import_data(group, data, units=True, level=0):
# pandas is not a default brian2 dependency, only import it here
try:
import pandas as pd
except ImportError as ex:
raise ImportError("Exporting to pandas needs a working installation"
" of pandas. Importing pandas failed: " + str(ex))
if units:
raise NotImplementedError("Units not supported when importing from "
"pandas data frame")
colnames = data.columns
array_data = data.values
for e, colname in enumerate(colnames):
if getattr(group.variables[colname], 'read_only'):
raise TypeError(f"Variable '{colname}' is read-only.")
state = group.state(colname, use_units=units, level=level+1)
state[:] = np.squeeze(array_data[:, e])