Crystal clear thanks!
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SQLAlchemy -
The Python SQL Toolkit and Object Relational Mapper
http://www.sqlalchemy.org/
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On Sun, Oct 27, 2019, at 2:48 PM, Soumaya Mauthoor wrote:
> With a dataframe you can do df.columns to get the column labels and
> df[["col1","col2"]] to extract column1 and column2
I'm going to guess this means that you're getting the col1/col2 from multiple
rows at once.
In python we use a
With a dataframe you can do df.columns to get the column labels and
df[["col1","col2"]] to extract column1 and column2
rowProxy has similar functionality as explained before
However if I use s= fetchmany() I return a string and it's not possible to
do the equivalent s.keys() and s["col1"].
On Su
On Sun, Oct 27, 2019, at 7:06 AM, sumau wrote:
> RowProxy have useful functionality like row.keys() and row['column']
>
> If I use fetchmany/fetchall I return a list of RowProxies. Is the best way of
> keeping the functionality of RowProxies to convert the list to a pandas data
> frame? Are th
RowProxy have useful functionality like row.keys() and row['column']
If I use fetchmany/fetchall I return a list of RowProxies. Is the best way of
keeping the functionality of RowProxies to convert the list to a pandas data
frame? Are there any plans to create "Table"Proxy equivalent to RowProxy
