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.

Feb 1, 2017 · The login form does not require a JWT token because you are going to validate the user credential. Keep the form out of the scope of the filter. Issue the JWT after successful authentication and apply the authentication filter to the rest of services. Then the filter should intercept all requests except the login form, and check: if user ...

May 18, 2015 · This more like a "filter", because the generator only references the values in the original dict instead of making a subset copy; and hence is more efficient than creating a new dictionary : filtered = ((k, v) for (k, v) in d.iteritems() if v > 0) print filtered # <generator object <genexpr> at 0x034A18F0> for k, v in filtered: print k, v ...

Dec 1, 2016 · Use Where clause to filter a sequence . var tlistFiltered = tlist.Where(item => item.suburb == "brisbane") LINQ expressions like Where return IEnumerable<T>. I usually capture the result with var but you could use ToList() to project the result to a list as well. Just depends what you need to do with the list later.

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.

Feb 28, 2014 · Args: df (pd.DataFrame): dataframe filter_values (None or dict): Dictionary of the form: `{<field>: <target_values_list>}` used to filter columns data. """ import numpy as np if filter_values is None or not filter_values: return df return df[ np.logical_and.reduce([ df[column].isin(target_values) for column, target_values in filter_values.items

Feb 2, 2015 · Well, how would you filter a series upon a given condition? – user554546. Commented Feb 2, 2015 at 6:23.

Jan 16, 2015 · df.set_index('ids').filter(like='ball', axis=0) which gives. vals ids aball 1 bball 2 fball 4 ballxyz 5 But filter also allows you to pass a regex, so you could also filter only those rows where the column entry ends with ball. In this case you use

Here are the two main approaches. I prefer this one for its readability: bar <- subset(foo, location == "there")

See if the below code works, where we insert the if-else condition in the filter statement. This makes sense because the latter statements accepts a logical statement as its input -- we just use the former statement to control the value of the input.