grouping

问题 I have a dataframe : df = pd.DataFrame.from_dict({ 'product': ('a', 'a', 'a', 'a', 'c', 'b', 'b', 'b'), 'sales': ('-', '-', 'hot_price', 'hot_price', '-', 'min_price', 'min_price', 'min_price'), 'price': (100, 100, 50, 50, 90, 70, 70, 70), 'dt': ('2020-01-01 00:00:00', '2020-01-01 00:05:00', '2020-01-01 00:07:00', '2020-01-01 00:10:00', '2020-01-01 00:13:00', '2020-01-01 00:15:00', '2020-01-01 00:19:00', '2020-01-01 00:21:00') }) product sales price dt 0 a - 100 2020-01-01 00:00:00 1 a - 100

问题 I need to group my multidimensional array by dates. For example: Array ( [0] => Array ( [product_id] => 52 [date] => 2017-07-28 ) [1] => Array ( [product_id] => 53 [date] => 2017-07-30 ) [2] => Array ( [product_id] => 123 [date] => 2017-07-30 ) ) I need this result: Array ( [2017-07-30] => Array ( [0] => Array ( [product_id] => 123 [date] => 2017-07-30 ) [1] => Array ( [product_id] => 53 [date] => 2017-07-30 ) ) [2017-07-28] => Array ( [product_id] => 52 [date] => 2017-07-28 ) ) This is my

问题 How can I group by Source and date then SUM Pageviews and revenue this array below Array ( [0] => Array ( [Source] => Analytics [Date] => 2017-10-31 [Source] => Google [visits] => 6000 [Pageviews] => 12,214 [Revenue] => 25 ) [1] => Array ( [Source] => Analytics [Date] => 2017-10-31 [Source] => Google [visits] => 600 [Pageviews] => 1015 [Revenue] => 10 ) [2] => Array ( [Source] => Analytics [Date] => 2017-10-31 [Source] => Facebook [visits] => 600 [Pageviews] => 1144 [Revenue] => 40 ) [3] =>

问题 Is there a way to increase the spacing between the yellow and red boxes within this box plot? set.seed(40) df <- data.frame( Outcome = runif(60), Fruit = rep(1:3, each = 10), Freshness = rep(c(0, 0.5), each = 30), Farm = factor(rep(c("A", "B"), each = 5)) ) %>% transform( Outcome = Outcome*Fruit+Freshness, Fruit = as.factor(Fruit), Freshness = as.factor(Freshness) ) ggplot(data = df, aes(Farm, Outcome, col = Freshness, fill = Fruit)) + geom_boxplot() + scale_color_manual(values = c(

问题 I have this data: Id Name amount Comments ------------------------------- 1 n1 421762 Hello 2 n2 421 Bye 3 n2 262 null 4 n2 5127 '' Each name may or may not have extra rows with null or empty comments. How can I group by name and sum(amount) such that it ignores/absorbs the null or empty comments in the grouping and shows me only 2 groups. Output I want: Id Name sum(amount) Comments ------------------------------------ 1 n1 421762 Hello 2 n2 5180 Bye I can't figure this out. I hoped that

问题 I have this data: Id Name amount Comments ------------------------------- 1 n1 421762 Hello 2 n2 421 Bye 3 n2 262 null 4 n2 5127 '' Each name may or may not have extra rows with null or empty comments. How can I group by name and sum(amount) such that it ignores/absorbs the null or empty comments in the grouping and shows me only 2 groups. Output I want: Id Name sum(amount) Comments ------------------------------------ 1 n1 421762 Hello 2 n2 5180 Bye I can't figure this out. I hoped that

问题 I have tried some of the examples here, but I still can't get the correct output. I haven't worked much with XSLT before. I want to group on the "Detail" element and get all the "Data" elements matching that group as children to the "Detail" element. Example: input <?xml version="1.0" encoding="utf-8"?> <File> <Detail type="A" group="1" > <Data> <Nr>1</Nr> </Data> <Data> <Nr>2</Nr> </Data> </Detail> <Detail type="B" group="1"> <Data> <Nr>3</Nr> </Data> <Data> <Nr>4</Nr> </Data> </Detail>

问题 Here is my List fooList class Foo { private String name; private int code; private int account; private int time; private String others; ... constructor, getters & setters } e.g.(all the value of account has been set to 1) new Foo(First, 200, 1, 400, other1), new Foo(First, 200, 1, 300, other1), new Foo(First, 201, 1, 10, other1), new Foo(Second, 400, 1, 20, other2), new Foo(Second, 400, 1, 40, other2), new Foo(Third, 100, 1, 200, other3), new Foo(Third, 101, 1, 900, other3) I want to

问题 I am trying to add p_values to my graph using "stat_signif" function. The problem is that my boxplots are grouped box plots where I want to compare every 2 box plots of the same category and stat_signif function requires the x-axis values for comparing. This is my code: p <- ggplot(plot.data, aes(x = Element, y = Value, fill = Group)) + #Define the elements for plotting - group by "strandness". geom_boxplot(outlier.shape = NA, colour = "black") + scale_fill_manual(values = c("goldenrod",

问题 I am currently working on UI Integration tests using Cypress. I am looking for ways to add test case grouping in cypress similar to the standard TestNG. I was not able to find any grouping features in cypress documentation. I did find this post: link where grouping is done using tags. I am looking for a simpler way for test case grouping. Here is my use case: I have tests for different features like feature1,2,3 in below example and each feature has different test cases. I would like to run