Is there an elegant way of combining the Python vars() and filter() functions to display the values of a subset of variables?

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Is there a way of displaying the names and values of a subset of variables in a string?

The following filters the names of certain variables, but is there an elegant way, within one line, to show the values of the variables too?

>>> result=list(filter(lambda x : x in ['a'], vars()))
>>> result

Yes, it can be done:

>>> a = 123
>>> result = list(filter(lambda x: x[0] in {'a'}, vars().items()))
>>> result
[('a', 123)]

But imo a much more elegant way is to use a list comprehension:

>>> a = 123
>>> result = [(name, value) for name, value in vars().items() if name in {'a'}]
>>> result
[('a', 123)]

Python2 Tutorial: Lambda Operator, filter , Introduction into the Lambda Operator and the functions map, filter and reduce. way to do it, because he doesn't like Lambda, map, filter and reduce either. Lambda functions are mainly used in combination with the functions filter(), map() We can see in the example above that the parameter x gets its values from the � vars() method takes only one parameter and that too is optional. It takes an object as a parameter which may be can a module, a class, an instance, or any object having __dict__ attribute. The method returns the __dict__ attribute for a module, class, instance, or any other object if the same has a __dict__ attribute.

Use vars().items() to get the keys and values.

But you can't use filter() becau

result = list(filter(lambda x: x[0] in ['a'], vars().items()))

This will return

[('a', 'value_of_a')]

Selecting Subsets of Data in Pandas: Part 3 | by Ted Petrou, This is part three of a four-part series on how to select subsets of data from For instance, to assign the value 5 to the variable x in Python, we do There are multiple ways of doing so, but we will begin by using just completely different methodology for combining two pandas objects. df_orig = df.copy(). 1 Is there an elegant way of combining the Python vars() and filter() functions to display the values of a subset of variables? Jan 16 0 Enter a value in a non-standard HTML textbox Aug 14 '15

Best thing I've managed so far:

foodict = {k: v for k, v in vars().items() if k in ['a']}

Working With JSON Data in Python – Real Python, Not so surprisingly, JavaScript Object Notation was inspired by a subset of I'm about to show you some real life JSON—just like you'd see out there in Accordingly, the json library exposes the dump() method for writing data to files. Define a function to filter out completed TODOs # of users with max attrs = vars(elf) The vars() function returns the __dict__ attribute of the given object. In this tutorial, we will learn about Python vars() with the help of an example.

Pandas GroupBy: Your Guide to Grouping Data in Python – Real , Using Lambda Functions in .groupby(); Improving the Performance of Once you've downloaded the .zip , you can unzip it to your current One useful way to inspect a Pandas GroupBy object and see the You can use read_csv() to combine two columns into a timestamp while using a subset of the� Example. Filter the array, and return a new array with only the values equal to or above 18:

Lambda and filter in Python Examples, The filter() function in Python takes in a function and a list as arguments. This offers an elegant way to filter out all the elements of a sequence “sequence”, for which the result = list ( filter ( lambda x: (x = = "".join( reversed (x))), my_list)) Given a list of strings and a string str, print all anagrams of str. Python filter() The filter() method constructs an iterator from elements of an iterable for which a function returns true. In simple words, filter() method filters the given iterable with the help of a function that tests each element in the iterable to be true or not.

Built-in Functions — Python 3.8.5 documentation, The Python interpreter has a number of functions and types built into it that are always available. Its only instances are False and True (see Boolean Values). or __getattribute__() function to customize the way dir() reports their attributes. Note that filter(function, iterable) is equivalent to the generator expression (item � Difference Between Two Lists in Python. Using lambda expression with filter() Python lambda expression also works as an inline function. Hence, we can specify it instead of a function argument in the filter() call. In this way, we can get away from writing a dedicated function for the filtering purpose.

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