Python Parcel.create_table Beispiele

Beispiel #1

Datei: dataloaders.py Projekt: vincentdavis/Colorado-Property-Data

def grandco_parcels():
    from db import Parcel
    try:
        Parcel.create_table()
    except:
        pass
    results = pd.read_csv('data/GrandCo/All_Properties.csv')
    count = 0
    for p in results.Parcel_ID.unique():
        prop = Parcel.create(Parcel_ID=p, County='Grand')
        count += 1
    print('Imported {} Parcels'.format(count))

Beispiel #2

def grandco_parcels():
    from db import Parcel
    try:
        Parcel.create_table()
    except:
        pass
    results = pd.read_csv('data/GrandCo/All_Properties.csv')
    count = 0
    for p in results.Parcel_ID.unique():
        prop = Parcel.create(Parcel_ID=p, County='Grand')
        count += 1
    print('Imported {} Parcels'.format(count))

Beispiel #3

Datei: dataloaders.py Projekt: vincentdavis/Colorado-Property-Data

def jeffco_600_Parcels(dataframe):
    """
    Jeffco ASTP600 file:
        SCH: SCHEDULE NUMBER
    """
    from db import Parcel
    try:
        Parcel.create_table()
    except:
        pass
    # "data/JeffersonCo/JeffcoData Nov 2013/CLEANED_ATSDTA_ATSP600.csv"
    dataframe['SCH'] = pd.to_numeric(dataframe['SCH'], errors='coerce')
    count = 0
    for p in dataframe.SCH.unique():
        prop = Parcel.create(Parcel_ID=p, County='Jefferson')
        count += 1
    print('Imported {} Jefferson Parcels'.format(count))

Beispiel #4

def jeffco_600_Parcels(dataframe):
    """
    Jeffco ASTP600 file:
        SCH: SCHEDULE NUMBER
    """
    from db import Parcel
    try:
        Parcel.create_table()
    except:
        pass
    # "data/JeffersonCo/JeffcoData Nov 2013/CLEANED_ATSDTA_ATSP600.csv"
    dataframe['SCH'] = pd.to_numeric(dataframe['SCH'], errors='coerce')
    count = 0
    for p in dataframe.SCH.unique():
        prop = Parcel.create(Parcel_ID=p, County='Jefferson')
        count += 1
    print('Imported {} Jefferson Parcels'.format(count))