コード例 #1
0
ファイル: master_set.py プロジェクト: NigelCleland/nzem
def columnise_energy_prices(df, island_split=True):
    """
    Columnise the energy price dataframe
    """
    
    # Separate the columns
    hay = df.eq_mask("Bus Id", "HAY2201")
    ben = df.eq_mask("Bus Id", "BEN2201")
    sfd = df.eq_mask("Bus Id", "SFD2201")
    hly = df.eq_mask("Bus Id", "HLY2201")
    ota = df.eq_mask("Bus Id", "OTA2201")
    
    # Rename the columns
    hay = hay.rename(columns={"Price Sum": "HAY2201 Price"})
    ben = ben.rename(columns={"Price Sum": "BEN2201 Price"})
    sfd = sfd.rename(columns={"Price Sum": "SFD2201 Price"})
    hly = hly.rename(columns={"Price Sum": "HLY2201 Price"})
    ota = ota.rename(columns={"Price Sum": "OTA2201 Price"})
    
    # Remerge them
    mdf = nzem.merge_series(hay["HAY2201 Price"], ben["BEN2201 Price"])
    mdf = nzem.merge_dfseries(mdf, sfd["SFD2201 Price"], left_index=True)
    mdf = nzem.merge_dfseries(mdf, hly["HLY2201 Price"], left_index=True)
    mdf = nzem.merge_dfseries(mdf, ota["OTA2201 Price"], left_index=True)
    
    if island_split:
        mdf["Island Price Split"] = mdf["HAY2201 Price"] - mdf["BEN2201 Price"]
        
    return mdf
コード例 #2
0
ファイル: master_set.py プロジェクト: djhume/nzem
def columnise_energy_prices(df, island_split=True):
    """
    Columnise the energy price dataframe
    """

    # Separate the columns
    hay = df.eq_mask("Bus Id", "HAY2201")
    ben = df.eq_mask("Bus Id", "BEN2201")
    sfd = df.eq_mask("Bus Id", "SFD2201")
    hly = df.eq_mask("Bus Id", "HLY2201")
    ota = df.eq_mask("Bus Id", "OTA2201")

    # Rename the columns
    hay = hay.rename(columns={"Price Sum": "HAY2201 Price"})
    ben = ben.rename(columns={"Price Sum": "BEN2201 Price"})
    sfd = sfd.rename(columns={"Price Sum": "SFD2201 Price"})
    hly = hly.rename(columns={"Price Sum": "HLY2201 Price"})
    ota = ota.rename(columns={"Price Sum": "OTA2201 Price"})

    # Remerge them
    mdf = nzem.merge_series(hay["HAY2201 Price"], ben["BEN2201 Price"])
    mdf = nzem.merge_dfseries(mdf, sfd["SFD2201 Price"], left_index=True)
    mdf = nzem.merge_dfseries(mdf, hly["HLY2201 Price"], left_index=True)
    mdf = nzem.merge_dfseries(mdf, ota["OTA2201 Price"], left_index=True)

    if island_split:
        mdf["Island Price Split"] = mdf["HAY2201 Price"] - mdf["BEN2201 Price"]

    return mdf
コード例 #3
0
ファイル: master_set.py プロジェクト: djhume/nzem
def columnise_res_prices(df,
                         island_price=True,
                         islandid="Island Id",
                         longname=False):
    """ 
    Columnise the reserve price dataframe
    """

    if longname:
        ni = "North Island"
        si = "South Island"
    else:
        ni = "NI"
        si = "SI"

    # Split them
    nif = df.eq_mask("Reserve Type", "F").eq_mask(islandid, ni)
    nis = df.eq_mask("Reserve Type", "S").eq_mask(islandid, ni)
    sif = df.eq_mask("Reserve Type", "F").eq_mask(islandid, si)
    sis = df.eq_mask("Reserve Type", "S").eq_mask(islandid, si)

    # Rename columns
    nif = nif.rename(columns={"Price Sum": "NI FIR Price"})
    nis = nis.rename(columns={"Price Sum": "NI SIR Price"})
    sif = sif.rename(columns={"Price Sum": "SI FIR Price"})
    sis = sis.rename(columns={"Price Sum": "SI SIR Price"})

    # Remerge them back together

    mdf = nzem.merge_series(nif["NI FIR Price"], nis["NI SIR Price"])
    mdf = nzem.merge_dfseries(mdf, sif["SI FIR Price"], left_index=True)
    mdf = nzem.merge_dfseries(mdf, sis["SI SIR Price"], left_index=True)

    if island_price:
        mdf["NI Reserve Price"] = mdf["NI FIR Price"] + mdf["NI SIR Price"]
        mdf["SI Reserve Price"] = mdf["SI FIR Price"] + mdf["SI SIR Price"]

    return mdf
コード例 #4
0
ファイル: master_set.py プロジェクト: NigelCleland/nzem
def columnise_res_prices(df, island_price=True, islandid="Island Id",
    longname=False):
    """ 
    Columnise the reserve price dataframe
    """
    
    if longname:
        ni = "North Island"
        si = "South Island"
    else:
        ni = "NI"
        si = "SI"
    
    # Split them
    nif = df.eq_mask("Reserve Type", "F").eq_mask(islandid, ni)
    nis = df.eq_mask("Reserve Type", "S").eq_mask(islandid, ni)
    sif = df.eq_mask("Reserve Type", "F").eq_mask(islandid, si)
    sis = df.eq_mask("Reserve Type", "S").eq_mask(islandid, si)
    
    # Rename columns
    nif = nif.rename(columns={"Price Sum": "NI FIR Price"})
    nis = nis.rename(columns={"Price Sum": "NI SIR Price"})
    sif = sif.rename(columns={"Price Sum": "SI FIR Price"})
    sis = sis.rename(columns={"Price Sum": "SI SIR Price"})
    
    # Remerge them back together
    
    mdf = nzem.merge_series(nif["NI FIR Price"], nis["NI SIR Price"])
    mdf = nzem.merge_dfseries(mdf, sif["SI FIR Price"], left_index=True)
    mdf = nzem.merge_dfseries(mdf, sis["SI SIR Price"], left_index=True)
    
    if island_price:
        mdf["NI Reserve Price"] = mdf["NI FIR Price"] + mdf["NI SIR Price"]
        mdf["SI Reserve Price"] = mdf["SI FIR Price"] + mdf["SI SIR Price"]
    
    return mdf