multiple-columns

I am new to python and have a pretty simple (hopefully straightforward!) question. Say that I have a data frame with 3 columns: time (which is in the format YYYY-MM-DDTHH:MM:SSZ), device_id, and rain but I need the first column, "time", to become three columns of "day", "month", and "year" with values from the timestamp. So the original data frame looks something like this: time device_id rain 2016-12-27T00:00:00Z 9b839362-b06d-4217-96f5-f261c1ada8d6 NaN 2016-12-28T00:00:00Z 9b839362-b06d-4217-96f5-f261c1ada8d6 0.2 2016-12-29T00:00:00Z 9b839362-b06d-4217-96f5-f261c1ada8d6 NaN 2016-12-30T00:00

I am trying to use css3 columns with a list ( <li> ). I am having trouble making it work. I defined a div that wraps the <ul> div.ul-container { -moz-column-width: 310px; -moz-column-gap: 10px; -webkit-column-width: 310px; -webkit-column-gap: 10px; column-width: 310px; column-gap: 10px; } This works fine when I have three <li> s or above. But when I have less than that (2 or 1) it seems to cut off the <li> . I tried defining a min-height which didn't work as well (it treated it as height). screenshot: any ideas? Lucía Amado This thread is a bit old, but I had the same issue recently and used

This question already has an answer here: Reshaping multiple sets of measurement columns (wide format) into single columns (long format) 7 answers I am trying to convert a data frame from wide to long format by gathering specific pairs of columns of which example is shown below: An example of data frame df <- data.frame(id=c(1,2,3,4,5), var=c("a","d","g","f","i"),a1=c(3,5,1,2,2), b1=c(2,4,1,2,3), a2=c(8,1,2,5,1), b2=c(1,6,4,7,2), a3=c(7,7,2,3,1), b3=c(1,1,4,9,6)) Initial table: id var a1 b1 a2 b2 a3 b3 1 1 a 3 2 8 1 7 1 2 2 d 5 4 1 6 7 1 3 3 g 1 1 2 4 2 4 4 4 f 2 2 5 7 3 9 5 5 i 2 3 1 2 1 6

Is there a way to make columns in a text? I have one big string with the text i have to display, and i have a fixed height of the textblock, and have to make the text display in column. like this image: Thanks! Have you looked in the "common" folder of the default solution templates? IIRC there is a control named something like ColumnTextBlock (or something similar) in there that does this for you. If it isn't in the default template you use, try creating a new grid application and look in there - it gets used in the item detail XAML page. HTH The component is called RichTextColumns which

Roughly speaking, attempting to build a four-column layout, I've got this HTML: <div> <div>A column</div> <div>A column</div> <div>A column</div> <div>A column</div> </div> And I've got this CSS: div { background: #ccc; } div div { background: #eee; display: inline-block; width: 25%; } -> Fiddle me this <- When rendered in the browser (Currently, I have been testing with Chrome only) the whitespace between the nested div elements (in this example the whitespace is caused by line breaks) is rendered, thus throwing my layout out. Clearly, I can float my nested divs... div { background: #ccc; }

I'm trying to figure out if there is a way to rename Pandas columns when you try to reset the index. I see in the documentation that you can use the "name" parameter to set the column name of a reset index if there is only one column, but I'm curious if there is a way to do this for multiple columns. For example: df1 = pd.DataFrame({ 'A' : ['a1', 'a1', 'a2', 'a3'], 'B' : ['b1', 'b2', 'b3', 'b4'], 'D1' : [1,0,0,0], 'D2' : [0,1,1,0], 'D3' : [0,0,1,1], }) df1.set_index(['B','A']).stack().reset_index() The result leaves you with: Out[82]: B A level_2 0 0 b1 a1 D1 1 1 b1 a1 D2 0 2 b1 a1 D3 0 3 b2

I wish to achieve a layout where an element (in my case a <ul> ) expands to 2 (or more) columns when the height reaches a certain limit. So for example, if the height is only enough for 3 items, and I have 5, the 4th and 5th item go to the second column, which is only created if needed. I tried to do this by setting the max-height as suggested here with column-count and column-width set to auto via the columns (I tried setting them separately too, same behaviour). If on the other hand I change the column-count to a fixed integer, it works and balances the items, but this is not dynamic as I

I am trying to achieve something similar to this question but with multiple values that must be replaced by NA, and in large dataset. df <- data.frame(name = rep(letters[1:3], each = 3), foo=rep(1:9),var1 = rep(1:9), var2 = rep(3:5, each = 3)) which generates this dataframe: df name foo var1 var2 1 a 1 1 3 2 a 2 2 3 3 a 3 3 3 4 b 4 4 4 5 b 5 5 4 6 b 6 6 4 7 c 7 7 5 8 c 8 8 5 9 c 9 9 5 I would like to replace all occurrences of, say, 3 and 4 by NA, but only in the columns that start with "var". I know that I can use a combination of [] operators to achieve the result I want: df[,grep("^var[