Pandas para Índice SQL
resultDf.to_sql('table_name', engine, schema="schema_name", if_exists="append", index=False)
Filthy Fowl
resultDf.to_sql('table_name', engine, schema="schema_name", if_exists="append", index=False)
from pandas import DataFrame
boxes = {'Color': ['Green','Green','Green','Blue','Blue','Red','Red','Red'],
'Shape': ['Rectangle','Rectangle','Square','Rectangle','Square','Square','Square','Rectangle'],
'Price': [10,15,5,5,10,15,15,5]
}
df = DataFrame(boxes, columns= ['Color','Shape','Price'])
select_color = df.loc[df['Color'] == 'Green']
print (select_color)
df1 = df.iloc[:,0:2] # Remember that Python does not slice inclusive of the ending index.
How to add index to the DataFrame at runtime
df["patient"] = ["patient-" + str( i ) for i in range( max( df.index ) + 1 )]
df.set_index( "patient", inplace=True )
---------------------------------------------------------------------
patient = pandas.Series( ["patient-" + str( i ) for i in range( max( df.index ) + 1 )] )
df.index = patient
---------------------------------------------------------------------
df.index = ["patient-" + str( i ) for i in range( max( df.index ) + 1 )]
df.set_index('month')
year sale
month
1 2012 55
4 2014 40
7 2013 84
10 2014 31