If you mean a jagged array (T[][]), SelectMany is your friend. If, however, you mean a rectangular array (T[,]), then you can just enumerate the date data via foreach – or: int[,] from = new int[,] {{1,2},{3,4},{5,6}}; int[] to = from.Cast<int>().ToArray();
Using generator functions can make your example easier to read and improve performance. Python 2 Using the Iterable ABC added in 2.6: from collections import Iterable def flatten(xs): for x in xs: if isinstance(x, Iterable) and not isinstance(x, basestring): for item in flatten(x): yield item else: yield x Python 3 In Python 3, basestring is … Read more
$data = array( 0 => array( 0 => ‘1’, 1 => ‘a’, 2 => ‘3’, 3 => ‘c’, ), 1 => array( 0 => ‘2’, 1 => ‘b’, ), ); $newArray = array(); $mi = new MultipleIterator(MultipleIterator::MIT_NEED_ANY); $mi->attachIterator(new ArrayIterator($data[0])); $mi->attachIterator(new ArrayIterator($data[1])); foreach($mi as $details) { $newArray = array_merge( $newArray, array_filter($details) ); } var_dump($newArray);
Here is a relatively simple recursive version which will flatten any depth of list l = [35,53,[525,6743],64,63,[743,754,757]] def flatten(xs): result = [] if isinstance(xs, (list, tuple)): for x in xs: result.extend(flatten(x)) else: result.append(xs) return result print flatten(l)
[(a, b, c) for a, (b, c) in l] Tuple packing and unpacking solves the problem.
Something like this should work: function flatten($array, $prefix = ”) { $result = array(); foreach($array as $key=>$value) { if(is_array($value)) { $result = $result + flatten($value, $prefix . $key . ‘.’); } else { $result[$prefix . $key] = $value; } } return $result; } DEMO
If you are looking for a more general way to unfold multiple hierarchies from a json you can use recursion and list comprehension to reshape your data. One alternative is presented below: def flatten_json(nested_json, exclude=[”]): “””Flatten json object with nested keys into a single level. Args: nested_json: A nested json object. exclude: Keys to exclude … Read more
The reset_index() is a pandas DataFrame method that will transfer index values into the DataFrame as columns. The default setting for the parameter is drop=False (which will keep the index values as columns). All you have to do call .reset_index() after the name of the DataFrame: df = df.reset_index()
You can use Array.concat like bellow:- var arr = [[‘object1’, ‘object2’],[‘object1’],[‘object1′,’object2′,’object3’]]; var flattened = [].concat.apply([],arr); flattened will be your expected array. ES 2020 gives the flat, also flatMap if you want to iterate over, to flat lists of lists: [[‘object1’], [‘object2’]].flat() // [‘object1’, ‘object2’]
itertools.chain is the best solution for flattening any nested iterable one level – it’s highly efficient compared to any pure-python solution. That said, it will work on all iterables, so some checking is required if you want to avoid it flattening out strings, for example. Likewise, it won’t magically flatten out to an arbitrary depth. … Read more