How to use the linearmodels.datasets function in linearmodels
To help you get started, we’ve selected a few linearmodels examples, based on popular ways it is used in public projects.
Secure your code as it's written. Use Snyk Code to scan source code in minutes - no build needed - and fix issues immediately.
bashtage / linearmodels / linearmodels / datasets / meps / __init__.py View on Github 
def load():
from linearmodels import datasets
return datasets.load(__file__, 'meps.csv.bz2')def load():
from linearmodels import datasets
data = datasets.load(__file__, 'french.csv.bz2')
data['dates'] = pd.to_datetime(data.dates)
return datadef load():
from linearmodels import datasets
return datasets.load(__file__, 'birthweight.csv.bz2')def load():
from linearmodels import datasets
return datasets.load(__file__, 'card.csv.bz2')def load():
from linearmodels import datasets
return datasets.load(__file__, 'wage_panel.csv.bz2')def load():
from linearmodels import datasets
return datasets.load(__file__, 'fringe.csv.bz2')def load():
from linearmodels import datasets
return datasets.load(__file__, 'fertility.csv.bz2')def load():
from linearmodels import datasets
return datasets.load(__file__, 'wage.csv.bz2')def load():
from linearmodels import datasets
return datasets.load(__file__, 'mroz.csv.bz2')def load():
from linearmodels import datasets
return datasets.load(__file__, 'jobtraining.csv.bz2')linearmodels
Linear Panel, Instrumental Variable, Asset Pricing, and System Regression models for Python
Package Health Score
82 / 100Popular linearmodels functions
- linearmodels._version.NotThisMethod
- linearmodels.compat.numpy.lstsq
- linearmodels.compat.pandas.concat
- linearmodels.compat.pandas.get_codes
- linearmodels.compat.pandas.is_categorical
- linearmodels.compat.pandas.to_numpy
- linearmodels.datasets
- linearmodels.iv.covariance.HomoskedasticCovariance
- linearmodels.iv.data.IVData
- linearmodels.panel.data.PanelData
- linearmodels.panel.PanelOLS
- linearmodels.panel.utility.dummy_matrix
- linearmodels.system._utility.blocked_inner_prod
- linearmodels.utility._str
- linearmodels.utility.AttrDict
- linearmodels.utility.InvalidTestStatistic
- linearmodels.utility.missing_warning
- linearmodels.utility.pval_format
- linearmodels.utility.WaldTestStatistic