multiple-conditions

问题 I am new to R. I'm trying to filter rows from a data.frame (df) based on multiple conditions: An example of my data.frame: image of my df df: SNPA SNPB value block1 block2 score_T A1 A22 0.379927 A1|A2|A3|A4|A5|A6 A22|A23|A24|A25 12 A2 A23 0.449074 A1|A2|A3|A4|A5|A6 A22|A23|A24|A25 25 A3 A24 0.464135 A1|A2|A3|A4|A5|A6 A22|A23|A24|A25 584 A4 A22 0.328866 A1|A2|A3|A4|A5|A6 A22|A23|A24|A25 51 A5 A22 0.326026 A1|A2|A3|A4|A5|A6 A22|A23|A24|A25 64 A22 A27 0.57169 A22|A23|A24|A25 A27|A28|A29|A30|A31

问题 For loops and multiple variables and conditions. I am using a for loop to set source and destination indexes to copy items in an array. for(int src = 0, dst = 8; src < 8, dst >= 0; src ++, dst --) { arr2[dst] = arr1[src]; } Something like that anyway. (AND) || (||) My question is about the exit conditions. There are two here. src < 8 and dst >= 0 . Are these conditions AND-ed ( && ) or OR-ed ( || ). To further explain, are the conditions evaluated like this: (src < 8) && (dst >= 0) Or are

来源： https://stackoverflow.com/questions/62555995/multiple-conditions-on-pandas-dataframe

问题 Suppose I have two dataframes - conditions and data. import pandas as pd conditions = pd.DataFrame({'class': [1,2,3,4,4,5,5,4,4,5,5,5], 'primary_lower': [0,0,0,160,160,160,160,160,160,160,160,800], 'primary_upper':[9999,9999,9999,480,480,480,480,480,480,480,480,4000], 'secondary_lower':[0,0,0,3500,6100,3500,6100,0,4800,0,4800,10], 'secondary_upper':[9999,9999,9999,4700,9999,4700,9999,4699,6000,4699,6000,3000], 'group':['A','A','A','B','B','B','B','C','C','C','C','C']}) data = pd.DataFrame({

问题 Here's my code var something = "four"; if( something == "one" || something == "two" || something == "three" || something == "five" || something == "six" || something == "seven" ){ document.body.innerHTML = "<h1>yes</h1>"; }else{ document.body.innerHTML = "<h1>no</h1>"; } Is there a way to simplify the IF statement given that all the conditions regard the same variable? DEMO 回答1: Try this: var something = 4; if([1,2,3,5,6,7].indexOf(something) > -1) { document.body.innerHTML = "<h1>yes</h1>";

问题 This question already has answers here : How to sum a variable by group (13 answers) Closed 4 years ago . I have a dataframe that contains a plot ID (plotID), tree species code (species), and a cover value (cover). You can see there are multiple records of tree species within one of the plots. How can I sum the "cover" field if there are duplicate "species" rows within each plot? For example, here is some sample data: # Sample Data plotID = c( "SUF200001035014", "SUF200001035014",

问题 My original input files is a booking transaction list. I am interested in the lines that are in the two sections: a) transactions and b) refunds. These are always at the bottom of the CSVs and structured. I can skip all lines above section transaction via regex condition /transaction/ {print}. I would like to add a column with strings "transaction or refunds" depending on the section in the csv. So I know if a cloumn is a transactions or refund. something like IF ($2 = "transaction" || " " !=

问题 I have a situation where I need to apply several "value boundaries" to several different "starting positions" and then subsequently output the "ongoing position". The "value boundaries" are: <500, >=500<750, >750<=850 and >850 The "starting positions" are "Basic", "Standard", "Standard+", and "Platinum", The value boundaries are then applied and the "ongoing position" outputted, e.g. a person starting at "Basic" achieves 600 and then moves to "standard", or someone at "Platinum" gets 700 so

问题 I need help with an "IF" formula in excel using multiple conditions. This is what I need: IF (cell) is <201, then *$2, if (cell) is 201-400, then *$1.15, if (cell) is >400, then *$1) I am trying to create a "settlement" spreadsheet. 回答1: You may try this: =IF(A1<201,"2",IF(AND(A1>201,A1<400),"1.15",1)) However, you've not mentioned what do you want to do when cell value is 201. If you want it to result in $2 then change formula to A1<=201 or else if you want it to result in $1.15 then write

问题 This question is related to my previous post: Consecutive exceedance above a threshold and additional conditions in R Here's the data: dat <- structure(list(V1 = c(-3.85326, -2.88262, -4.1405, -3.95193, -6.68925, -2.04202, -2.47597, -4.91161, -2.5946, -2.82873, 2.68839, -4.1287, -4.50296, -0.143476, -1.12174, -0.756168, -1.67556, -1.92704, -1.89279, -2.37569, -5.71746, -2.7247, -4.12986, -2.29769, -1.52835, -2.63623, -2.31461, 2.32796, 4.14354, 4.47055, -0.557311, -0.425266, -2.37455, -5