In CSS when using a selector list, if any of the selectors are invalid then the whole list is deemed invalid. When using :is() or :where() instead of the whole list of selectors being deemed invalid if one fails to parse, the incorrect or unsupported selector will be ignored and the others used.
The where method is an application of the if-then idiom. For eachelement in the calling DataFrame, if cond is True theelement is used; otherwise the corresponding element from the DataFrameother is used. If the axis of other does not align with axis ofcond Series/DataFrame, the misaligned index positions will be filled withFalse.
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When only condition is provided, this function is a shorthand fornp.asarray(condition).nonzero(). Using nonzero directly should bepreferred, as it behaves correctly for subclasses. The rest of thisdocumentation covers only the case where all three arguments areprovided.
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In this example, assume you have a list of products and you want to show your kitchen products separately. Using where, you can create an array containing only the products that have a "type" of "kitchen".
Say instead you have a list of products and you only want to show those that are available to buy. You can where with a property name but no target value to include all products with a truthy "available" value.
There are many restrictions on where the (+) annotation can appear; FROM clause outer joins are more expressive. Snowflake suggests using the(+) notation only when porting code that already uses that notation.New code should avoid that notation.
The where clause also supports some more complex string comparison operators. These operators take two strings as arguments; any non-string arguments (for example, dates or numbers) will be converted to strings before comparison. String matching is case sensitive (you can use upper() or lower() scalar functions to work around that).
Using pivot together with group by can be even more useful, since it creates a table where each cell contains the result of the aggregation for the relevant row and the relevant column. For example, running the following query on the example table:
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