Column Template

In measures you always have to use aggregator functions, like sum(), count(), min() around a column. The statement has been terminated. Select continent from network.countries where continent is not null and continent <> '' limit 5 Exception in thread main org.postgresql.util.psqlexception: 8 the query that has been run is the following:

I created the column i needed id_foreign, allowing nulls. Looping over column names has always been and should remain a perfectly acceptable thing to do, tidiness be damned. These two options are the best: Set identity_insert notes on insert into notes /*note the column list is required here, not optional*/ (noteid, notetitle,notedescription) select noteid, notetitle,notedescription from notes_temp set identity_insert notes.

Column does not allow nulls. Column continent does not exist hint: The idea of a measure is to aggregate values in vertical direction, in a column, whereas a calculated column does calculations in horizontal direction, row by row. Cannot insert the value null into column 'id_foreign', table 'mydatabase.dbo.tmp_thistable'; Lists, iterators).*df.apply will yield n (n=len(df)) iterables, each iterable with 2 elements;

Perhaps you meant to reference the column countries.continent. This only exists in a calculated column, not in a measure. It is not ideal because the 'btime' column was first selected as a series, then.iat was used to index into that series. Zip will iterate over the n rows simultaneously, so that it instead yields 2 iterables of n elements. Import.

Use the where clause to hide columns we don't want to see. Df.iat[0, 4] # get the value in the zeroth row, and 4th column using labels: This is needed because we don't know the column names at compile time. Another way to set the column types is to first construct a numpy record array with your desired types, fill.