3 If being able to filter multiple elements is important, how about using reduce to iterate over the array and sort them into filtered and unfiltered categories. This has the upside of not iterating over the array more than once before processing the results.
I find the list comprehension much clearer than filter + lambda, but use whichever you find easier. There are two things that may slow down your use of filter. The first is the function call overhead: as soon as you use a Python function (whether created by def or lambda) it is likely that filter will be slower than the list comprehension.
FILTER() will often return a 0 for blank rows, even when a return string is specified. Using filter() I am often getting a 0 return value for empty cells. Assume these 6 rows of data in column A: abc xyz abc xyz abc If I use FILTER(A10:A15, A10:A15 <> "xyz", "") I get back the following (sometimes): abc abc 0 abc This seems to be somewhat ...
11 Actually for some reason wireshark uses two different kind of filter syntax one on display filter and other on capture filter. Display filter is only useful to find certain traffic just for display purpose only. its like you are interested in all trafic but for now you just want to see specific.
Setting the value of the filter query-string parameter to a string using those delimiters creates a list of name/value pairs which can be parsed easily on the server-side and utilized to enhance database queries as needed.
ECMAScript 5 has the filter() prototype for Array types, but not Object types, if I understand correctly. How would I implement a filter() for Objects in JavaScript? Let's say I have this object...
You can filter by multiple columns (more than two) by using the np.logical_and operator to replace & (or np.logical_or to replace |) Here's an example function that does the job, if you provide target values for multiple fields.
You create your filter over A:G by condition of K:K, like you had and you filter the result for the columns in your filtered range being equal to the given columns.
The shape of the filter_list was only a suggestion, so that it is readable. I wouldn't call the filters filter_1, filter_2, etc. but in such a way, that it's clear what the purpose of the filter is. Within each filter it should be clear what column of the data.frame is targeted and what values are selected.
The -Filter parameter can do more than just match on everything, which is effectively what -Filter * does. The -Filter string is very much like Powershell syntax (not quite, but most of the way there). You can use most of the same logical operators that Powershell supports, and they work much in the same way that Powershell operators do.
