def transactions_decayheat(evaler,
senders=(),
receivers=(),
commodities=(),
nucs=()):
"""
Shape the reduced transation Data Frame into a simple time serie. Applying nuclides selection when required.
Parameters
----------
evaler : evaler
senders : of the sending facility
receivers : of the receiving facility
commodities : of the commodity exchanged
nucs : of nuclide to select.
"""
if len(nucs) != 0:
nucs = tools.format_nucs(nucs)
df = filters.transactions_decayheat(evaler, senders, receivers,
commodities, nucs)
df = df[['Time', 'DecayHeat']].groupby(['Time']).sum()
df.reset_index(inplace=True)
time = evaler.eval('TimeList')
df = tools.add_missing_time_step(df, time)
return df
def get_power(evaler, facilities=()):
"""
Shape the reduced Power Data Frame into a simple time serie. Applying
facilities selection when required.
Parameters
----------
evaler : evaler
facilities : of the facility
"""
# Get inventory table
df = evaler.eval('TimeSeriesPower')
agents = evaler.eval('AgentEntry')
rdc_ = [] # because we want to get rid of the facility asap
if len(facilities) != 0:
agents = agents[agents['Prototype'].isin(facilities)]
rdc_.append(['AgentId', agents['AgentId'].tolist()])
else:
wng_msg = "no faciity provided"
warnings.warn(wng_msg, UserWarning)
df = tools.reduce(df, rdc_)
base_col = ['SimId', 'AgentId']
added_col = base_col + ['Prototype']
df = tools.merge(df, base_col, agents, added_col)
df = df[['Time', 'Value']].groupby(['Time']).sum()
df.reset_index(inplace=True)
time = evaler.eval('TimeList')
df = tools.add_missing_time_step(df, time)
return df
def get_retirement(evaler, facilities=()):
"""
Get a simple time series with retirement schedule of the selected facilities.
Parameters
----------
evaler : evaler
facilities : of the facility
"""
# Get inventory table
df = evaler.eval('AgentEntry')
df = df[df['Lifetime'] > 0]
rdc_ = [] # because we want to get rid of the facility asap
if len(facilities) != 0:
df = df[df['Prototype'].isin(facilities)]
rdc_.append(['AgentId', df['AgentId'].tolist()])
else:
wng_msg = "no faciity provided"
warnings.warn(wng_msg, UserWarning)
# Adding a constant column to easily sum the amount of facilities build per
# time step i
df = df.assign(Value=lambda x: 1)
df = df[['DecomTime', 'Value']].groupby(['Time']).sum()
df.reset_index(inplace=True)
df.rename(index=str, columns={'DecomTime': 'Time'}, inplace=True)
time = evaler.eval('TimeList')
df = tools.add_missing_time_step(df, time)
return df
def inventories(evaler, facilities=(), nucs=()):
"""
Shape the reduced inventory Data Frame into a simple time serie. Applying
nuclides/facilities selection when required.
Parameters
----------
evaler : evaler
facilities : of the facility
nucs : of nuclide to select.
"""
if len(nucs) != 0:
nucs = tools.format_nucs(nucs)
else:
wng_msg = "no nuclide provided"
warnings.warn(wng_msg, UserWarning)
df = filters.inventories(evaler, facilities, nucs)
df = df[['Time', 'Quantity']].groupby(['Time']).sum()
df.reset_index(inplace=True)
time = evaler.eval('TimeList')
df = tools.add_missing_time_step(df, time)
return df
def inventories_decayheat(evaler, facilities=(), nucs=()):
"""
Get a simple time series of the decay heat of the inventory in the selcted
facilities. Applying nuclides selection when required.
Parameters
----------
evaler : evaler
facilities : of the facility
nucs : of nuclide to select.
"""
if len(nucs) != 0:
nucs = tools.format_nucs(nucs)
else:
wng_msg = "no nuclide provided"
warnings.warn(wng_msg, UserWarning)
df = filters.inventories_decayheat(evaler, facilities, nucs)
df = df[['Time', 'DecayHeat']].groupby(['Time']).sum()
df.reset_index(inplace=True)
time = evaler.eval('TimeList')
df = tools.add_missing_time_step(df, time)
return df
def transactions_decayheat(evaler, senders=(), receivers=(), commodities=(), nucs=()):
"""
Shape the reduced transation Data Frame into a simple time serie. Applying nuclides selection when required.
Parameters
----------
evaler : evaler
senders : of the sending facility
receivers : of the receiving facility
commodities : of the commodity exchanged
nucs : of nuclide to select.
"""
if len(nucs) != 0:
nucs = tools.format_nucs(nucs)
df = filters.transactions_decayheat(evaler, senders, receivers, commodities,
nucs)
df = df[['Time', 'DecayHeat']].groupby(['Time']).sum()
df.reset_index(inplace=True)
time = evaler.eval('TimeList')
df = tools.add_missing_time_step(df, time)
return df
def get_retirement(evaler, facilities=()):
"""
Get a simple time series with retirement schedule of the selected facilities.
Parameters
----------
evaler : evaler
facilities : of the facility
"""
# Get inventory table
df = evaler.eval('AgentEntry')
df = df[df['Lifetime'] > 0]
rdc_ = [] # because we want to get rid of the facility asap
if len(facilities) != 0:
df = df[df['Prototype'].isin(facilities)]
rdc_.append(['AgentId', df['AgentId'].tolist()])
else:
wng_msg = "no faciity provided"
warnings.warn(wng_msg, UserWarning)
# Adding a constant column to easily sum the amount of facilities build per
# time step i
df = df.assign(Value=lambda x: 1)
df = df[['DecomTime','Value']].groupby(['Time']).sum()
df.reset_index(inplace=True)
df.rename(index=str, columns={'DecomTime': 'Time'}, inplace=True)
time = evaler.eval('TimeList')
df = tools.add_missing_time_step(df, time)
return df
def get_power(evaler, facilities=()):
"""
Shape the reduced Power Data Frame into a simple time serie. Applying
facilities selection when required.
Parameters
----------
evaler : evaler
facilities : of the facility
"""
# Get inventory table
df = evaler.eval('TimeSeriesPower')
agents = evaler.eval('AgentEntry')
rdc_ = [] # because we want to get rid of the facility asap
if len(facilities) != 0:
agents = agents[agents['Prototype'].isin(facilities)]
rdc_.append(['AgentId', agents['AgentId'].tolist()])
else:
wng_msg = "no faciity provided"
warnings.warn(wng_msg, UserWarning)
df = tools.reduce(df, rdc_)
base_col = ['SimId', 'AgentId']
added_col = base_col + ['Prototype']
df = tools.merge(df, base_col, agents, added_col)
df = df[['Time', 'Value']].groupby(['Time']).sum()
df.reset_index(inplace=True)
time = evaler.eval('TimeList')
df = tools.add_missing_time_step(df, time)
return df
def inventories_decayheat(evaler, facilities=(), nucs=()):
"""
Get a simple time series of the decay heat of the inventory in the selcted
facilities. Applying nuclides selection when required.
Parameters
----------
evaler : evaler
facilities : of the facility
nucs : of nuclide to select.
"""
if len(nucs) != 0:
nucs = tools.format_nucs(nucs)
else:
wng_msg = "no nuclide provided"
warnings.warn(wng_msg, UserWarning)
df = filters.inventories_decayheat(evaler, facilities, nucs)
df = df[['Time', 'DecayHeat']].groupby(['Time']).sum()
df.reset_index(inplace=True)
time = evaler.eval('TimeList')
df = tools.add_missing_time_step(df, time)
return df
def inventories(evaler, facilities=(), nucs=()):
"""
Shape the reduced inventory Data Frame into a simple time serie. Applying
nuclides/facilities selection when required.
Parameters
----------
evaler : evaler
facilities : of the facility
nucs : of nuclide to select.
"""
if len(nucs) != 0:
nucs = tools.format_nucs(nucs)
else:
wng_msg = "no nuclide provided"
warnings.warn(wng_msg, UserWarning)
df = filters.inventories(evaler, facilities, nucs)
df = df[['Time', 'Quantity']].groupby(['Time']).sum()
df.reset_index(inplace=True)
time = evaler.eval('TimeList')
df = tools.add_missing_time_step(df, time)
return df