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Questions tagged [multiple-columns]

Multiple-columns are when text is split into a number of parallel text columns, rather than one column of text. For CSS Multicolumn layout, use the [css-multicolumn-layout] tag.

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Convert multiple columned dataframe to 3D matrix in R

I have a dataframe similar to the one below: trial Card1_colour Card1_number Card1_shape Card2_colour Card2_number Card2_shape ...... 1 1 1 0 0 1 ...
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1answer
28 views

How do I create 3 columns with responsive text and images? [closed]

HTML/CSS beginner here... I have an image with text directly below it. I need to put 3 images with text below next to each other (see example below). I would like there to be equal amounts of space ...
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2answers
44 views

How to calculate totals in dataframe by pandas

I have got this dataframe: Date Trader1 Trader2 Trader3 01/04/2020 4 6 8 02/04/2020 4 6 8 03/04/2020 4 7 8 04/04/2020 4 7 8 05/04/2020 3 5 7 06/04/2020 2 4 7 07/04/2020 ...
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1answer
29 views

Copying and Paste multiple rows into next empty Row on another sheet

I have the following script: function onEdit(event) { // assumes source data in sheet named Needed // target sheet of move to named Acquired // test column with yes/no is col 5 or E var ss = ...
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1answer
28 views

woocommerce related products 2 column issues for mobile

Morning all, I can't seem to get my Woocommerce related products to show in a 2 column, side by side format. When viewed on mobile device You will see on this page that the related products are one ...
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0answers
24 views

Linebreak on multiples columns

.multiplecolonnes { width:250px; -moz-column-width:300px; -webkit-column-width:300px; column-width:300px; height:45em; } .multiplecolonnes { padding:-1000; counter-reset:...
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How to update two columns(pandas df) at once result of apply function [duplicate]

ns.loc[:,'home_' + attr[2] + '_pre_game'], ns.loc[:,'away_' + attr[2] + '_pre_game'] =pd.Series(None, index=ns.index),pd.Series(None, index=ns.index) ns.loc[:,['home_' + attr[2] + '_pre_game','...
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17 views

Multiple values from an API call through SQL Server function

I am trying to write a SQL Server function that will allow me to pass in an address value, query the Google Places API, then write back the values that are returned to a table (place_id, name, address)...
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1answer
39 views

Split into new columns

In order to split cell into new columns, I use the following code: | Column1 | Column2 | a;b;c;d;e;f | 1;2;3;4 df = pd.read_excel('FileName.xlsx') new = df["Column1"].str.split(";", n=...
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2answers
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Is there an R function that reads a specific value and move to the next column?

I would like to know if R could read a specific value by column in the matrix (the value will only read one specific value (more than x) before moving to the next column). This values can only be ...
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1answer
19 views

Replacing Column headings

I want to replace multi-columns heading with specific words. I know I can create a dictionary for T1_A to A, T1_B to B and so on However, is there any method like find and replace? What if my ...
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Merging 2 dataframes with 2 different column names not working [duplicate]

I have the following 2 dfs i.e. sensex and database respectively: Date Sensex Value 2013-01 19894.98 2013-02 18861.54 2013-03 18835.77 Policy No Commencement Date 001 2013-01 ...
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1answer
30 views

Expanding all columns simultaneously in Power Query

Need help expanding all columns in a spreadsheet simultaneously using Power Query. I have transposed the spreadsheet from this: to this: Each table is a long column of values (9,000+ rows). I would ...
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1answer
43 views

Multicolumn in bootstrap - Remove padding that overflows from one column to the next

I'm trying to set up an image and text so that for very wide viewports the text is set in two columns with the image floated in the first column. It all works fine when there is plenty of text, but ...
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1answer
26 views

Append web-scrapped data to same excelsheet

I want to fetch a column from web using a for loop (date_range) and append the column to the same sheet, with each iteration, next to each other. import pandas as pd import datetime as dt import ...

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