loops

问题 Program finds integeres between commas like "2,33,5" -> 2 33 5. The problem is why is it working if I put for example string like "0,12,4". shouldn't the stringstream put 0 into tmp so the loop was like while(0) at the beginning? vector<int> parseInts(string str) { stringstream ss(str); //getting string vector<int> result; char ch; int tmp; while(ss >> tmp) { //while(IS IT INTEGER ALREADY OR NOT?) result.push_back(tmp); ss >> ch; } return result; 回答1: shouldn't the stringstream put 0 into tmp

问题 I have an optimization model and I try to solve this model for different input files which I exactly call as "solve the model under different scenarios". For that reason, I need a loop to read the data from excel for each different sheet. Let me make myself clear: For example, in the image below we have a data with 4 scenarios and the sheet names are increasing one by one for each scenario This data has to be read as a table for each scenario, like in the excel file. I try to read the data

问题 I have a time series that looks like this (a slice): Date 3 7 10 2015-02-13 0.00021 -0.00078927 0.00407473 2015-02-16 0.0 -0.00343163 0.0 2015-02-17 0.0 0.0049406 0.00159753 2015-02-18 0.00117 -0.00123565 -0.00031423 2015-02-19 0.00091 -0.00253578 -0.00106207 2015-02-20 0.00086 0.00113476 0.00612649 2015-02-23 -0.0011 -0.00403307 -0.00030327 2015-02-24 -0.00179 0.00043229 0.00275874 2015-02-25 0.00035 0.00186069 -0.00076578 2015-02-26 -0.00032 -0.01435613 -0.00147597 2015-02-27 -0.00288 -0

问题 I have a time series that looks like this (a slice): Date 3 7 10 2015-02-13 0.00021 -0.00078927 0.00407473 2015-02-16 0.0 -0.00343163 0.0 2015-02-17 0.0 0.0049406 0.00159753 2015-02-18 0.00117 -0.00123565 -0.00031423 2015-02-19 0.00091 -0.00253578 -0.00106207 2015-02-20 0.00086 0.00113476 0.00612649 2015-02-23 -0.0011 -0.00403307 -0.00030327 2015-02-24 -0.00179 0.00043229 0.00275874 2015-02-25 0.00035 0.00186069 -0.00076578 2015-02-26 -0.00032 -0.01435613 -0.00147597 2015-02-27 -0.00288 -0

问题 I have a time series that looks like this (a slice): Date 3 7 10 2015-02-13 0.00021 -0.00078927 0.00407473 2015-02-16 0.0 -0.00343163 0.0 2015-02-17 0.0 0.0049406 0.00159753 2015-02-18 0.00117 -0.00123565 -0.00031423 2015-02-19 0.00091 -0.00253578 -0.00106207 2015-02-20 0.00086 0.00113476 0.00612649 2015-02-23 -0.0011 -0.00403307 -0.00030327 2015-02-24 -0.00179 0.00043229 0.00275874 2015-02-25 0.00035 0.00186069 -0.00076578 2015-02-26 -0.00032 -0.01435613 -0.00147597 2015-02-27 -0.00288 -0

问题 I have a large list of longitude and latidue data corresponding to fast food places in the U.S. For each fast food place, I want to know how many other fast food places are within 5 miles. I could calculate this in Pandas using Geopy like so (each row in the DataFrame is a different fast food place): import pandas as pd import geopy.distance df = pd.DataFrame({'Fast Food Place':[1,2,3], 'Lat':[33,34,35], 'Lon':[42,43,44]}) for index1, row1 in df.iterrows(): num_fastfood = 0 for index2, row2

问题 I have a large list of longitude and latidue data corresponding to fast food places in the U.S. For each fast food place, I want to know how many other fast food places are within 5 miles. I could calculate this in Pandas using Geopy like so (each row in the DataFrame is a different fast food place): import pandas as pd import geopy.distance df = pd.DataFrame({'Fast Food Place':[1,2,3], 'Lat':[33,34,35], 'Lon':[42,43,44]}) for index1, row1 in df.iterrows(): num_fastfood = 0 for index2, row2

问题 I met a problem of running a t-test for some data stored in a data frame. I know how to do it one by one but not efficient at all. May I ask how to write a loop to do it? For example, I have got the data in the testData: testData <- dput(testData) structure(list(Label = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L ), .Label = c("Bad", "Good"), class = "factor"), F1 = c(0.647789237, 0.546087915, 0.461342005, 0.794212207, 0.569199511, 0

问题 I met a problem of running a t-test for some data stored in a data frame. I know how to do it one by one but not efficient at all. May I ask how to write a loop to do it? For example, I have got the data in the testData: testData <- dput(testData) structure(list(Label = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L ), .Label = c("Bad", "Good"), class = "factor"), F1 = c(0.647789237, 0.546087915, 0.461342005, 0.794212207, 0.569199511, 0

问题 I met a problem of running a t-test for some data stored in a data frame. I know how to do it one by one but not efficient at all. May I ask how to write a loop to do it? For example, I have got the data in the testData: testData <- dput(testData) structure(list(Label = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L ), .Label = c("Bad", "Good"), class = "factor"), F1 = c(0.647789237, 0.546087915, 0.461342005, 0.794212207, 0.569199511, 0