def resample(self, rule, how='mean', axis=0,
fill_method=None, closed='right', label='right',
convention=None, kind=None, loffset=None, limit=None):
"""
Convenience method for frequency conversion and resampling of regular
time-series data.
Parameters
----------
rule : the offset string or object representing target conversion
how : string, method for down- or re-sampling, default 'mean'
fill_method : string, fill_method for upsampling, default None
axis : int, optional, default 0
closed : {'right', 'left'}, default 'right'
Which side of bin interval is closed
label : {'right', 'left'}, default 'right'
Which bin edge label to label bucket with
convention : {'start', 'end', 's', 'e'}
loffset : timedelta
Adjust the resampled time labels
"""
from pandas.tseries.resample import TimeGrouper
sampler = TimeGrouper(rule, label=label, closed=closed, how=how,
axis=axis, kind=kind, loffset=loffset,
fill_method=fill_method, convention=convention,
limit=limit)
return sampler.resample(self)
def resample(self, rule, how=None, axis=0, fill_method=None,
closed='right', label='right', convention=None,
kind=None, loffset=None, limit=None, base=0):
"""
Convenience method for frequency conversion and resampling of regular
time-series data.
Parameters
----------
rule : the offset string or object representing target conversion
how : string, method for down- or re-sampling, default to 'mean' for
downsampling
fill_method : string, fill_method for upsampling, default None
axis : int, optional, default 0
closed : {'right', 'left'}, default 'right'
Which side of bin interval is closed
label : {'right', 'left'}, default 'right'
Which bin edge label to label bucket with
convention : {'start', 'end', 's', 'e'}
loffset : timedelta
Adjust the resampled time labels
base : int, default 0
For frequencies that evenly subdivide 1 day, the "origin" of the
aggregated intervals. For example, for '5min' frequency, base could
range from 0 through 4. Defaults to 0
"""
from pandas.tseries.resample import TimeGrouper
sampler = TimeGrouper(rule, label=label, closed=closed, how=how,
axis=axis, kind=kind, loffset=loffset,
fill_method=fill_method, convention=convention,
limit=limit, base=base)
return sampler.resample(self)
def resample(self, rule, how='mean', axis=0, fill_method=None,
closed='right', label='right', convention=None,
kind=None, loffset=None, limit=None, base=0):
"""
Convenience method for frequency conversion and resampling of regular
time-series data.
Parameters
----------
rule : the offset string or object representing target conversion
how : string, method for down- or re-sampling, default 'mean'
fill_method : string, fill_method for upsampling, default None
axis : int, optional, default 0
closed : {'right', 'left'}, default 'right'
Which side of bin interval is closed
label : {'right', 'left'}, default 'right'
Which bin edge label to label bucket with
convention : {'start', 'end', 's', 'e'}
loffset : timedelta
Adjust the resampled time labels
base : int, default 0
For frequencies that evenly subdivide 1 day, the "origin" of the
aggregated intervals. For example, for '5min' frequency, base could
range from 0 through 4. Defaults to 0
"""
from pandas.tseries.resample import TimeGrouper
sampler = TimeGrouper(rule, label=label, closed=closed, how=how,
axis=axis, kind=kind, loffset=loffset,
fill_method=fill_method, convention=convention,
limit=limit, base=base)
return sampler.resample(self)
