pandas to sql index
resultDf.to_sql('table_name', engine, schema="schema_name", if_exists="append", index=False)
pandas to sql index
resultDf.to_sql('table_name', engine, schema="schema_name", if_exists="append", index=False)
select rows from dataframe pandas
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)
select columns pandas
df1 = df.iloc[:,0:2] # Remember that Python does not slice inclusive of the ending index.
slicing in pandas
# iloc[row slicing, column slicing]
surveys_df.iloc[0:3, 1:4]
pandas 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 )]
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