@@ -253,6 +253,17 @@ Ideally, `best_neighbour_multiplicity` should be 1 and `number_of_mates`
253253should be 0; in that case, there is a one-to-one match between the
254254source in Gaia and the corresponding source in Pan-STARRS.
255255
256+ ::::::::::::::::::::::::::::::::::::::::: callout
257+
258+ ## Number of neighbors
259+
260+ The table also contains ` number_of_neighbours ` which is the
261+ number of stars in Pan-STARRS that match in terms of position, before
262+ using other criteria to choose the most likely match. But we are more
263+ interested in the final match, using both criteria.
264+
265+ ::::::::::::::::::::::::::::::::::::::::::::::::::
266+
256267Here is a query that selects these columns and returns the first 5 rows.
257268
258269``` python
@@ -947,18 +958,6 @@ dtype: float64
947958All values in this column are ` 0 ` , which means that for each match we
948959found in Pan-STARRS, there are no other stars in Gaia that also match.
949960
950- ::::::::::::::::::::::::::::::::::::::::: callout
951-
952- ## Number of neighbors
953-
954- The table also contains ` number_of_neighbours ` which is the
955- number of stars in Pan-STARRS that match in terms of position, before
956- using other criteria to choose the most likely match. But we are more
957- interested in the final match, using both criteria.
958-
959-
960- ::::::::::::::::::::::::::::::::::::::::::::::::::
961-
962961## Saving the DataFrame
963962
964963We can make a ` DataFrame ` from our Astropy ` Table ` and save our results so we can pick up where we left off
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