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numpy parse int into bit groupings


numpy parse int into bit groupings

By : Ardee
Date : November 17 2020, 11:58 AM
seems to work fine A one-liner, using broadcasting, for the four bit lower and upper nibbles:
code :
In [38]: a
Out[38]: array([  1,  15,  16,  17, 127, 128, 255], dtype=uint8)

In [39]: (a.reshape(-1,1) & np.array([0xF, 0xF0], dtype=np.uint8)) >> np.array([0, 4], dtype=np.uint8)
Out[39]: 
array([[ 1,  0],
       [15,  0],
       [ 0,  1],
       [ 1,  1],
       [15,  7],
       [ 0,  8],
       [15, 15]], dtype=uint8)
In [41]: masks = np.array([0b11000000, 0b00111000, 0b00000111], dtype=np.uint8)

In [42]: shifts = np.array([6, 3, 0], dtype=np.uint8)

In [43]: a
Out[43]: array([  1,  15,  16,  17, 127, 128, 255], dtype=uint8)

In [44]: (a.reshape(-1,1) & np.array(masks, dtype=np.uint8)) >> np.array(shifts, dtype=np.uint8)
Out[44]: 
array([[0, 0, 1],
       [0, 1, 7],
       [0, 2, 0],
       [0, 2, 1],
       [1, 7, 7],
       [2, 0, 0],
       [3, 7, 7]], dtype=uint8)


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How to parse a numpy array?

How to parse a numpy array?


By : user3416218
Date : March 29 2020, 07:55 AM
Hope this helps When you see a numpy array printed without commas, you are just looking at its string representation. If you want it printed with commas, you could convert it to a Python list:
code :
In [45]: print(arr)
[[12 13 14]
 [15 16 17]
 [18 19 20]]

In [46]: arr_list = arr.tolist()

In [47]: print(arr_list)
[[12, 13, 14], [15, 16, 17], [18, 19, 20]]
Can a view be based upon logical groupings and not visual groupings?

Can a view be based upon logical groupings and not visual groupings?


By : Iceman
Date : March 29 2020, 07:55 AM
may help you . Backbone views conventionally manage one DOM element, and take one model. You can make them work otherwise, but it's not a good idea. It's nice when your models line up with the nouns in your project, but it's not a requirement. In this case it sounds like your Accounts table mostly lines up with a User model - it's got attributes like their name, their avatar, etc - even if it does have some extra metadata attached. I think that would translate into an Account model nicely.
However, I'd recommend against insisting on a 1-to-1 mapping between models and views. A large benefit of Backbone is that you can show the same data in your app in a number of different ways, and Backbone will keep them all up to date. Rather than try to construct a giant View that manages the whole page, it's better to think of Backbone views as "partials" or small components that do one thing well. It's common to use a Backbone router to transition the state of your pages, and you may have some Backbone views that have no model, and simply render a bunch of sub-views.
Numpy efficient way to parse array of string

Numpy efficient way to parse array of string


By : user2187414
Date : March 29 2020, 07:55 AM
I wish this help you So I have this array of strings, that I got from a database query , You can use the following one-liner:
code :
np.vstack(np.char.split(dat).sum(axis=1)).astype(np.float)
Numpy parse dates with genfromtext

Numpy parse dates with genfromtext


By : user2637242
Date : March 29 2020, 07:55 AM
I hope this helps you . As @hpaulj commented, changing the datatype to datetime64[us] solves it:
code :
import numpy as np
import datetime as dt

parse_time  = lambda x: dt.datetime.strptime(x.decode('utf-8'), "%Y-%m-%dT%H:%M:%S.%fZ")
parse_time2 = lambda x: np.datetime64(dt.datetime.strptime(x.decode('utf-8'), '%Y-%m-%dT%H:%M:%S.%fZ'))
col_names = ['Time','Temperature','Humidity']
lines = ['2018-10-03T11:28:35.325Z;23.0;17.0', '2018-10-03T11:28:35.325Z;23.0;17.0']

np.genfromtxt(lines, delimiter=';',dtype=[('Time',"datetime64[us]"),('Temperature','f'),('Humidity','f')], converters={"Time": parse_time2},names=col_names)
What is the best way to group groupings of groupings?

What is the best way to group groupings of groupings?


By : user3331718
Date : March 29 2020, 07:55 AM
fixed the issue. Will look into that further NetMage and Theodor's answers were exactly what I was looking for as per the question. However, due to an oversite in my example code, I neglected to mention that sometimes the answer would return with more than just true or false and instead would return 3 or 4 values (and in very rare occasions one of the return values needs to be grouped and iterated over). This is not a fault of their own, and their work is actually very good and serves good use, but it was an oversite on my part. Due to this of this I decided to go with Ian's and Kyles answers based on the comments and came up with this:
While it's not perfect, it does allow me to return as many values as I want, group by if I need to (defined in the case statements), and if I only need to filter by 2 and not all 3 or need to change the order, I can add them to the conditions array as I need them.
code :
Random rand = new Random();
List<int> ints = new List<int>();
for (int i = 0; i < 10000000; i++)
{
   ints.Add(rand.Next(0, 10000001));
}
string[] conditions = new string[] { "even", "div3", "div5" };
var dynamicSort = new Sorted(ints);

public class Sorted
{
    public List<List<int>> returnVal { get; set; }
    public static List<int> Odd(List<int> ints)
    {
        return ints.Where(x => x % 2 != 0).ToList();
    }
    public static List<int> Even(List<int> ints)
    {
        return ints.Where(x => x % 2 == 0).ToList();
    }
    public static List<int> DivThree(List<int> ints)
    {
        return ints.Where(x => x % 3 == 0).ToList();
    }
    public static List<int> NotDivThree(List<int> ints)
    {
        return ints.Where(x => x % 3 != 0).ToList();
    }
    public static List<int> DivFive(List<int> ints)
    {
        return ints.Where(x => x % 5 == 0).ToList();
    }
    public static List<int> NotDivFive(List<int> ints)
    {
        return ints.Where(x => x % 5 != 0).ToList();
    }

    public Sorted(List<int> ints, string[] conditions)
    {
        returnVal = GetSorted(ints, conditions, 0);
    }
    public List<List<int>> GetSorted(List<int>ints, string[] conditions, int index)
    {
        var sortReturn = new List<List<int>>();
        switch (conditions[index].ToLower()) 
        {
            case "even":
            case "odd":
                {
                    if (index == conditions.Length - 1)
                    {
                        sortReturn.Add(Odd(ints));
                        sortReturn.Add(Even(ints));
                    }
                    else
                    {
                        var i = ++index;
                        sortReturn.AddRange(GetSorted(Odd(ints), conditions, i));
                        sortReturn.AddRange(GetSorted(Even(ints), conditions, i));
                    }
                    break;
                }
            case "div3":
            case "notdiv3":
                {
                    if (index == conditions.Length - 1)
                    {
                        sortReturn.Add(DivThree(ints));
                        sortReturn.Add(NotDivThree(ints));
                    }
                    else
                    {
                        var i = ++index;
                        sortReturn.AddRange(GetSorted(DivThree(ints), conditions, i));
                        sortReturn.AddRange(GetSorted(NotDivThree(ints), conditions, i));
                    }
                    break;
                }
            case "div5":
            case "notdiv5":
                {
                    if (index == conditions.Length - 1)
                    {
                        sortReturn.Add(DivFive(ints));
                        sortReturn.Add(NotDivFive(ints));
                    }
                    else
                    {
                        var i = ++index;
                        sortReturn.AddRange(GetSorted(DivFive(ints), conditions, i));
                        sortReturn.AddRange(GetSorted(NotDivFive(ints), conditions, i));
                    }
                    break;
                }
        }
        return sortReturn;
    }
}
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