addition

What's the difference between [a] + [b] and [a].extend([b])?

强颜欢笑 提交于 2019-12-23 07:02:59
问题 There are 2 ways to merge lists together in Python: ['a', 'b', 'c'] + ['x', 'y', 'z'] ['a', 'b', 'c'].extend(['x', 'y', 'z']) What's the difference between the 2 methods? What's the more Pythonic way of concatenating more than 2 lists? ['a', 'b', 'c'] + [1, 2, 3] + ['x', 'y', 'z'] gucci_list = ['a', 'b', 'c'] gucci_list.extend([1, 2, 3]) gucci_list.extend(['x', 'y', 'z']) How about combining both? ['a', 'b', 'c'].extend([1, 2, 3] + ['x', 'y', 'z']) 回答1: The first statement creates a new list

C# multiline calculation

﹥>﹥吖頭↗ 提交于 2019-12-23 05:16:08
问题 I'm starting on C# now. I had a problem in tackling a question my lecturer asked me to do. Below is the GUI. http://i.share.pho.to/daa36a24_c.png This is the code i did but i didn't manage to code part the i mentioned below using System; using System.Collections.Generic; using System.ComponentModel; using System.Data; using System.Drawing; using System.Linq; using System.Text; using System.Windows.Forms; namespace WindowsFormsApplication1 { public partial class Form1 : Form { public Form1() {

Non-restoring division algorithm

ぐ巨炮叔叔 提交于 2019-12-20 21:56:41
问题 Does anyone know the steps for dividing unsigned binary integers using non-restoring division? It's hard to find any good sources online. i.e if A = 101110 and B = 010111 how do we find A divided by B in non-restoring division? What do the registers look like in each step? Thanks! 回答1: (My answer is a little late-reply. But I hope it will be useful for future visitors) Algorithm for Non-restoring division is given in below image : In this problem, Dividend (A) = 101110, ie 46, and Divisor (B)

Non-restoring division algorithm

 ̄綄美尐妖づ 提交于 2019-12-20 21:56:12
问题 Does anyone know the steps for dividing unsigned binary integers using non-restoring division? It's hard to find any good sources online. i.e if A = 101110 and B = 010111 how do we find A divided by B in non-restoring division? What do the registers look like in each step? Thanks! 回答1: (My answer is a little late-reply. But I hope it will be useful for future visitors) Algorithm for Non-restoring division is given in below image : In this problem, Dividend (A) = 101110, ie 46, and Divisor (B)

How to perform addition in text file bypassing strings

China☆狼群 提交于 2019-12-20 06:26:47
问题 I converted my csv file to text file and I want to add the numbers inside the text file. When I run my code get an error. Assuming the error code I want to write logic that would bypass my strings and just add the numeric values. `import csv csv_file = 'Annual Budget.csv' txt_file = 'annual_budget.txt' with open(txt_file, 'w') as my_output_file: with open(csv_file, 'r') as my_input_file: reader = csv.reader(my_input_file) for row in reader: my_output_file.write(" ".join(row)+'\n') data = []

Excel VBA Double Addition Error

泄露秘密 提交于 2019-12-20 04:37:23
问题 I'm having a hard time explaining this one. The following function is being used as a worksheet formula. A value of "empty" simply means that the cell was empty and, therefore, there is no value. Given the values {empty, empty, 0.8, 0.2}, the following function is sometimes returning off the wall values like 5.55111512312578E-17. In the debugger, it looks like everything is correct until the last value in the ParamArray (in this case 0.2) is processed. Any thoughts? Private Function

Summing up more than two dataframes with the same indexes in Pandas

青春壹個敷衍的年華 提交于 2019-12-20 02:26:11
问题 I want to add values of 4 Dataframes with the same indexes in Pandas. If there are two dataframes, df1 and df2, we may write: df1.add(df2) and for 3 dataframes: df3.add(df2.add(df1)) I wonder if there is a more general way to do so in Python. 回答1: Option 1 Use sum sum([df1, df2, df3, df4]) Option 2 Use reduce from functools import reduce reduce(pd.DataFrame.add, [df1, df2, df3, df4]) Option 3 Use pd.concat and pd.DataFrame.sum with level=1 This only works if there is a single level to the

What exactly does tf.expand_dims do to a vector and why can results be added together even when matrix shapes are different?

老子叫甜甜 提交于 2019-12-19 20:47:52
问题 I'm adding two vectors that I thought were 'reshaped' together and getting a 2d matrix as a result. I expect some type of error here, but didn't get it. I think I understand what's happening, it treated them as if there were two more sets of each vector horizontally and vertically, but I don't understand why the results of a and b aren't different. And if they're not meant to be, why does this work at all? import tensorflow as tf import numpy as np start_vec = np.array((83,69,45)) a = tf

Construction a vector from the concatenation of 2 vectors

偶尔善良 提交于 2019-12-19 19:44:12
问题 Is there a way to construct a vector as the concatenation of 2 vector s (Other than creating a helper function?) For example: const vector<int> first = {13}; const vector<int> second = {42}; const vector<int> concatenation = first + second; I know that vector doesn't have an addition operator like string , but that's the behavior that I want. Such that concatenation would contain: 13 and 42. I know that I can initialize concatenation like this, but it prevents me from making concatenation

Loss of precision on adding doubles?

亡梦爱人 提交于 2019-12-19 11:21:34
问题 folks! I've encountered a little problem: I'm doing a simple addition with three double values. The result has a smaller precision than the used values. double minutes = 3; minutes = minutes / (24.0*60.0); // contains 0.00208333 double hours = 3; hours = hours / 24.0; // contains 0.125 double days = 3; // contains 3 double age = days + hours + minutes; // result is 3.12708 I found no way to avoid this behaviour. 回答1: Nothing seems to be wrong with the calculation as what the comments on your