def energy(P, tfilter=None):
"""
Convert energy defined as:
:math:`E=\int{Pdt}`
where
:math:`P` is power and
:math:`dt` is the time step between observations.
The time integral is computed using the trapezoidal rule.
Results are given in [power units]*seconds.
Parameters
-----------
P : pandas DataFrame
Power time series
tfilter : pandas Series (optional)
Time filter containing boolean values for each time index
Returns
-------
pandas Series
Energy
"""
E = time_integral(P, tfilter=tfilter)
return E
def insolation(G, tfilter=None):
"""
Compute insolation defined as:
:math:`H=\int{Gdt}`
where
:math:`G` is irradiance and
:math:`dt` is the time step between observations.
The time integral is computed using the trapezoidal rule.
Results are given in [irradiance units]*seconds.
Parameters
-----------
G : pandas DataFrame
Irradiance time series
tfilter : pandas Series (optional)
Time filter containing boolean values for each time index
Returns
-------
pandas Series
Insolation
"""
H = time_integral(G, tfilter=tfilter)
return H
def insolation(G, tfilter=None, per_day=True):
"""
Compute insolation defined as:
:math:`H=\int{Gdt}`
where
:math:`G` is irradiance and
:math:`dt` is the time step between observations.
The time integral is computed using the trapezoidal rule.
Results are given in [irradiance units]*seconds.
Parameters
-----------
G : pd.DataFrame
Irradiance time series
tfilter : pd.Series (optional)
Time filter containing boolean values for each time index
per_day : boolean (optional)
Flag indicating if the results should be computed per day, default = True
Returns
-------
H : pd.DataFrame
Insolation
"""
if type(G) is pd.core.series.Series:
G = G.to_frame('Irradiance')
H = time_integral(G, tfilter=tfilter, per_day=per_day)
return H
def energy(P, tfilter=None, per_day=True):
"""
Convert energy defined as:
:math:`E=\int{Pdt}`
where
:math:`P` is power and
:math:`dt` is the time step between observations.
The time integral is computed using the trapezoidal rule.
Results are given in [power units]*seconds.
Parameters
-----------
P : pd.DataFrame
Power time series
tfilter : pd.Series (optional)
Time filter containing boolean values for each time index
per_day : boolean (optional)
Flag indicating if the results should be computed per day, default = True
Returns
-------
E : pd.DataFrame
Energy
"""
if type(P) is pd.core.series.Series:
P = P.to_frame('Power')
E = time_integral(P, tfilter=tfilter, per_day=per_day)
return E
def energy(P, tfilter=None, per_day=True):
"""
Convert energy defined as:
:math:`E=\int{Pdt}`
where
:math:`P` is power and
:math:`dt` is the time step between observations.
The time integral is computed using the trapezoidal rule.
Results are given in [power units]*seconds.
Parameters
-----------
P : pd.DataFrame
Power time series
tfilter : pd.Series (optional)
Time filter containing boolean values for each time index
per_day : boolean (optional)
Flag indicating if the results should be computed per day, default = True
Returns
-------
E : pd.DataFrame
Energy
"""
if type(P) is pd.core.series.Series:
P = P.to_frame('Power')
E = time_integral(P, tfilter=tfilter, per_day=per_day)
return E
def insolation(G, tfilter=None, per_day=True):
"""
Compute insolation defined as:
:math:`H=\int{Gdt}`
where
:math:`G` is irradiance and
:math:`dt` is the time step between observations.
The time integral is computed using the trapezoidal rule.
Results are given in [irradiance units]*seconds.
Parameters
-----------
G : pd.DataFrame
Irradiance time series
tfilter : pd.Series (optional)
Time filter containing boolean values for each time index
per_day : boolean (optional)
Flag indicating if the results should be computed per day, default = True
Returns
-------
H : pd.DataFrame
Insolation
"""
if type(G) is pd.core.series.Series:
G = G.to_frame('Irradiance')
H = time_integral(G, tfilter=tfilter, per_day=per_day)
return H