division

问题 I need to divide every element in a specific column in a Pandas DataFrame by 100. By default, the .div() function in Pandas divides all elements across all columns, and attempting to specify columns to divide leaves me with only those columns. d = { 'SYMBOL':['AAAAA','BBBBB','CCCCC'], 'ASSETS':[5, 21, 74]} data = pd.DataFrame(d,columns=['SYMBOL','ASSETS']) data = data['ASSETS'].div(100) So, starting with 0 AAAAA 5 1 BBBBB 21 2 CCCCC 74 I end up getting 0 0.05 1 0.21 2 0.74 When I want 0 AAAAA

问题 i wrote a program to evaluate what numbers in a certain range are divisble by only certain numbers (in the range 1 to 9 ). So far the code seems to work but i tested the steps it takes through at pythontutor http://www.pythontutor.com/visualize.html#mode=edit and something odd happened. In the second loop, the code doesnt always check all values (k) for its divisibility but sometimes leaves out the last value (k) . Better to give you an example: Liste = [] for i in range (1500, 1700): if i%5

问题 I recieved a crash report from MadExcept from a user. The Exception was Invalid floating point operation. The odd part though is that the callstack dies at @FSafeDivide. I did a google and found out that this was a check for certain pentium chips which didn't do division correctly. If the test failed all the divisions would be done in software rather than hardware. I have the Pentium-Safe FDIV option turned on in my compiler settings. Could this have caused the error? I also read somewhere

问题 My problem is limited to unsigned integers of 256 bits. I have a value x , and I need to descale it by the ratio n / d , where n < d . The simple solution is of course x * n / d , but the problem is that x * n may overflow. I am looking for any arithmetic trick which may help in reaching a result as accurate as possible. Dividing each of n and d by gcd(n, d) before calculating x * n / d does not guarantee success. Is there any process (iterative or other) which i can use in order to solve

问题 I have a class called Time , and I need to implement a Frequency class. How can I implement dividing int s or float s by an instance of Time to get an instance of Frequency ? I already know about __div__ , __truediv__ , __floordiv__ and other Python special methods, and I already use them in my code to divide instances of classes by numbers or instances of other classes, but I cannot find a way to divide a number by an instance of my class. Is it possible to implement dividing a number by an

问题 I have a class called Time , and I need to implement a Frequency class. How can I implement dividing int s or float s by an instance of Time to get an instance of Frequency ? I already know about __div__ , __truediv__ , __floordiv__ and other Python special methods, and I already use them in my code to divide instances of classes by numbers or instances of other classes, but I cannot find a way to divide a number by an instance of my class. Is it possible to implement dividing a number by an

问题 I have the following table in which I have two sales orders and each sales order has a different number of transactions. SaleOrder Transaction Amount S1 T1 20 S1 T2 20 S2 T1 15 S2 T2 15 S2 T3 15 The problem is I am getting the total sales order amount against each transaction in SQL Server table when in fact they need to be divided equally among the number of transactions like this: SaleOrder Transaction Amount S1 T1 10 S1 T2 10 S2 T1 5 S2 T2 5 S2 T3 5 I've written the following query: SELECT

问题 I have a simple division: 72 / 193 Excel is giving me result of 0.373056994818653 While PHP round it up to 0.373056994819 My question is - how can I make PHP to give me the exact number instead of a rounded up one? 回答1: It isn't a question of being 'exact' or not, it is about precision. Wolfram Alpha has a much larger precision for your answer. You need to change the precision of your php configuration to suit how many units you need after the decimal. I cannot find the largest precision PHP

问题 I have a situation where I have invoice spreadsheets incoming with single rows that span multiple months with a quantity column containing the summation of the quantity for all months spanned. In order to run month-by-month analytics, we need to split the total quantity into equal(ish) quantities across n rows where n is the number of months spanned. These numbers can be off by one or two, but the smaller the difference between each element the better. I have a rough mockup I did in python

问题 I have a situation where I have invoice spreadsheets incoming with single rows that span multiple months with a quantity column containing the summation of the quantity for all months spanned. In order to run month-by-month analytics, we need to split the total quantity into equal(ish) quantities across n rows where n is the number of months spanned. These numbers can be off by one or two, but the smaller the difference between each element the better. I have a rough mockup I did in python