multiple-columns

问题 I have problem with speed of my algorithm, is too slow. I have a big dataframe and wanna create columns depends on the name and value in other. I am looking for a solution maybe in Pandas. Before running I don't know the size of the future columns. Here is a simple schema. "column"<==>"value"<br>"column"<==> "value"<br>... my data frame id | params | ---|----------------- 0 |currency<=>PLN<br>price<=>72.14<br>city<==>Berlin ---|----------------- 1 |price<=>90<br>area<=>72.14<br>city<==>San

问题 Supposing I have the following DataFrame df df = pd.DataFrame({"a" : [1,2,2,2,2,2,2,2,2,3,3,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,5,5,5], "b" : [3,3,3,3,3,3,3,4,4,4,4,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,6,6,7,7], "c" : [4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,5,5,5,1,2,2,2,2,2,2,2,2,3,3]}) And I wish to replace number 4's which repeat more than 10 times in a row, in any column (there could be hundreds of columns), with 10 4's and the remainder 5's. So for example, 12 consecutive 4's would be replaced

问题 I tried the link. But it doesnt work for my example given below. I tried the loc[0] for the output. I tried .item(). But none of these help me. >>> df2 = pd.DataFrame({ 'Item':['[Phone]', '[Watch]', '[Pen]', '[Pencil]', '[Knife]'], 'RelatedItem': ['[Phone cover]', '[Watch strap]', '[Pen cap]', '[Pencil lead]', '[fork]'], 'CountinInventory':['20','50','40','80','90']}) >>> df2 Item RelatedItem CountinInventory 0 [Phone] [Phone cover] 20 1 [Watch] [Watch strap] 50 2 [Pen] [Pen cap] 40 3 [Pencil

问题 I tried the link. But it doesnt work for my example given below. I tried the loc[0] for the output. I tried .item(). But none of these help me. >>> df2 = pd.DataFrame({ 'Item':['[Phone]', '[Watch]', '[Pen]', '[Pencil]', '[Knife]'], 'RelatedItem': ['[Phone cover]', '[Watch strap]', '[Pen cap]', '[Pencil lead]', '[fork]'], 'CountinInventory':['20','50','40','80','90']}) >>> df2 Item RelatedItem CountinInventory 0 [Phone] [Phone cover] 20 1 [Watch] [Watch strap] 50 2 [Pen] [Pen cap] 40 3 [Pencil

问题 I need to sum the values of several columns, if other cells in the same row match a predefined criteria. The working formula for only 3 columns is the following: =SUM(SUMIFS(‘Sheet1'!W:W; ‘Sheet1'!$B:$B;"Sales";‘Sheet1'!$C:$C;">=4");SUMIFS(‘Sheet1'!X:X; ‘Sheet1'!$B:$B;"Sales";‘Sheet1'!$C:$C;">=4");SUMIFS(‘Sheet1'!Y:Y; ‘Sheet1'!$B:$B;"Sales";‘Sheet1'!$C:$C;">=4")) I will need to use the formula for several cells (and sum more than 10 columns per time) and I will need to change the columns

问题 I have a data table where the last column is a column of lists. Below is how it looks: Col1 | Col2 | ListCol -------------------------- na | na | [obj1, obj2] na | na | [obj1, obj2] na | na | [obj1, obj2] What I want is Col1 | Col2 | Col3 | Col4 -------------------------- na | na | obj1 | obj2 na | na | obj1 | obj2 na | na | obj1 | obj2 I know that all the lists have the same amount of elements. Edit: Every element in ListCol is a list with two elements. 回答1: Here is one approach, using

问题 I have a data table where the last column is a column of lists. Below is how it looks: Col1 | Col2 | ListCol -------------------------- na | na | [obj1, obj2] na | na | [obj1, obj2] na | na | [obj1, obj2] What I want is Col1 | Col2 | Col3 | Col4 -------------------------- na | na | obj1 | obj2 na | na | obj1 | obj2 na | na | obj1 | obj2 I know that all the lists have the same amount of elements. Edit: Every element in ListCol is a list with two elements. 回答1: Here is one approach, using

问题 I am a novice to Sublime text. Previously I used notepad++. I use column selection frequently. In notepad++ it comes to me handy with alt + left mouse click which I can drag up to my wished selection. In Sublime text, it is shift + right mouse click and drag up to wished selection for Windows. I want to change it to alt + left mouse click as I have used it in notepad++. I tried searching in preferences > key bindings in sublime text. But couldn't find mouse-key mappings there. I am using

问题 I am a novice to Sublime text. Previously I used notepad++. I use column selection frequently. In notepad++ it comes to me handy with alt + left mouse click which I can drag up to my wished selection. In Sublime text, it is shift + right mouse click and drag up to wished selection for Windows. I want to change it to alt + left mouse click as I have used it in notepad++. I tried searching in preferences > key bindings in sublime text. But couldn't find mouse-key mappings there. I am using

问题 Is there a short way to test for identity over multiple columns? For example, over this input data=data.table(one=c(1,2,3,4), two=c(7,8,9,10), three=c(1,2,3,4), four=c(1,2,3,4) ) Is there something that would return all the columns that are identical to data$one? Something like allcolumnsidentity(data$one, data) # compares all columns with respect to data$one Should return (TRUE, FALSE, TRUE, TRUE) since data$three and data$four are identical to data$one. I saw the identical() and comapre()