inequality

来源： https://stackoverflow.com/questions/33948574/inequalities-and-parenthesis-in-python

来源： https://stackoverflow.com/questions/63894225/using-fill-between-and-min-max-to-represent-inequalities

问题 Is there anyway i can escape GeoPoint as first order in this postion? If i remove GeoPoint from orderby it triggered the below error and if i put the GeoPoint as first orderby, as instructed as below, it mislead the second orderby priceSort.. Uncaught Error: Invalid query. You have a where filter with an inequality (<, <=, >, or >=) on field 'GeoPoint' and so you must also use 'GeoPoint' as your first Query.orderBy(), but your first Query.orderBy() is on field 'priceSort' instead. const

问题 Im trying to display rows which does not exist from the other table using LINQ. can anyone help me? Here is the sql im using. select * from table1 left join table2 on table1.col1 = table2.col1 and table1.col2 = table2.col2 where table2.col1 is null and table2.col2 is null Already searched and found some solution. Here is what i did so far. from t1 in table1 where !(from t2 in table1 join t3 in table2 on new { t2.col1, t2.col2 } equals new { t3.col1, t3.col2 } select t2.PK).Contains(t1.PK)

问题 I would like to subset my data based on multiple inequality conditions using the data.table package. The examples in the data.table manual show how to do this with character variables, but not with numeric inequalities. I also see how to do this using the subset function. But I really would like to take advantage of the data.table binary search speed. Below is an example of what I am trying to do. library(data.table) data <- data.table(X=seq(-5,5,1), Y=seq(-5,5,1), Z=seq(-5,5,1)) data setkey

问题 I am trying to implement Theil's index (http://en.wikipedia.org/wiki/Theil_index) in Python to measure inequality of revenue in a list. The formula is basically Shannon's entropy, so it deals with log. My problem is that I have a few revenues at 0 in my list, and log(0) makes my formula unhappy. I believe adding a tiny float to 0 wouldn't work as log(tinyFloat) = -inf, and that would mess my index up. [EDIT] Here's a snippet (taken from another, much cleaner -and freely available-,

问题 I want to plot some Inequalities with matlab. I am using this code: figure; plot(plot::Inequality(x^2 + y^2 < 1, x = -1.5..1.5, y = -1.5..1.5)); But i am getting this error: plot(plot::Inequality(x^2 + y^2 < 1, x = -1.5..1.5, y = -1.5..1.5)) | Error: Unexpected MATLAB operator. I have read this manual. and something more: >> version ans = 8.0.0.783 (R2012b) 回答1: plot::Inequality is part of Matlab's symbolic toolbox and is invoked from within MuPAD. You cannot use it like a regular command. 来源

问题 According to the Python docs: "when defining __eq__() , one should also define __ne__() so that the operators will behave as expected". However, it appears that Python computes __ne__ as not __eq__ automatically: In [8]: class Test: def __eq__(self, other): print("calling __eq__") ...: return isinstance(other, Test) ...: In [9]: a = Test() In [10]: b = Test() In [11]: a == b calling __eq__ Out[11]: True In [12]: a != b calling __eq__ Out[12]: False In [13]: a == 1 calling __eq__ Out[13]:

问题 I need to pass inequalities to a function for evaluation within the function. Is there a way to evaluation the inequality if passed as a string? Or must I pass a representation of the inequality and use if/else statements to generate the sign? 回答1: Your question is a little vague, but it sounds like you want to evaluate a string containing an expression (such as x > 5 ). Rather than doing that, which is unnecessarily complex, and potentially a security hazard, just define a function, either

问题 I have a (simplified) table that is structured like so: Table: ItemData PK | ItemID | StoreFK | Retail 1 | 100101 | 1 | 4.99 4 | 100101 | 2 | 4.99 7 | 100101 | 3 | 0.99 2 | 100102 | 1 | 6.99 5 | 100102 | 2 | 6.99 8 | 100102 | 3 | 6.99 3 | 100103 | 1 | 7.99 6 | 100103 | 2 | 8.99 9 | 100103 | 3 | 9.99 I would like to return all the items that have a different retail at one or more stores: Returns: ItemID 100101 100103 Item 100101 has a lower retail at store 3 then at store 1 & 2 it is returned.