Split cell into multiple rows

Home » Python » Python Programs Given a pandas dataframe, we have to split cell into multiple rows in it. By Pranit Sharma Last updated : October 02, 2023 Pandas is a special tool that allows us to perform complex manipulations of data effectively and efficiently. Inside pandas, we mostly deal with a dataset in the form of DataFrame. DataFrames are 2-dimensional data structures in pandas. DataFrames consist of rows, columns, and data. Problem statement Suppose, we have a DataFrame with multiple columns and a column containing multiple values and we want to split all these values and add them in a new row. Splitting cell into multiple rows For this purpose, we will use DataFrame.explode() method. It will allow us to convert all the values of a column into rows in pandas DataFrame. pandas.DataFrame.explode() The method is used to convert each element of a list-like to a row, replicating index values.Syntax:DataFrame.explode( column, ignore_index=False ) We will first set the index which we do not want to change and will use the apply method to use explode method. Let us understand with the help of an example, Python program to split cell into multiple rows in pandas dataframe# Importing pandas packageimport pandas as pd# Importing display attribute from Ipythonfrom IPython.display import display# Creating a dictionaryd = { "Product_id":[1,3,7], "Product_code":["#101,#102,#103","#104","#105,#106"], "Manufacturing_date":["22/6/2018","21/8/2019","27/11/2020"], "Cities":["c1,c2,c3","c4","c5,c6"]}# Creating a DataFramedf = pd.DataFrame(d)# Display Original DataFramesprint("Created DataFrame:\n",df,"\n")# splitting cities columnres = df.set_index(['Product_id', 'Product_code']).apply(lambda x: x.str.split(',').explode()).reset_index()# Display resultprint("Result:\n",res) Output The output of the above program is: Python Pandas Programs » Advertisement Advertisement

I have used the following guide to split the images from .png files into sizes less than 30000 characters: Everything goes perfect and I get to split the images into base64 into multiple rows with the same name but changing indexes. However, when I try to gather the rows into a single row using the second part of the guide, where you use the function "concatenatex" in measure, It does not concatenate the rows based on the name and index as it should. instead every row shows the value of PIC based on the Name column and index. instead of just concatenating them.see the picture below: The whole idea is that in dax we have larger cell capacity and thus the splittet text from query should be able to be gathered into 1 and used to reconvert into the real image. See the link above for the intended use.However it all works until the concatenation, which is not working as intended.

IntroductionWhen it comes to organizing data and information in Excel, being able to paste multiple paragraphs into a single cell can be incredibly useful. Whether you're creating a report, writing a note, or inputting text from another source, this feature allows you to keep all the information in one place, making it more manageable and visually appealing. In this blog post, we will explore the steps to easily paste multiple paragraphs into a single cell in Excel, enabling you to optimize your data organization and productivity.Key TakeawaysPasting multiple paragraphs into a single cell in Excel can save time and make data organization more manageable and visually appealing.By using the "Paste Special" option and selecting the "Text" option, you can maintain the formatting and structure of the pasted text.To deal with formatting issues, you can use the "Wrap Text" feature, adjust column width, or modify font size and formatting as needed.For managing long paragraphs, you can use the "AutoFit Row Height" feature, split the text into multiple cells using "Text to Columns," or insert line breaks within the cell by pressing Alt+Enter.After pasting, you can remove blank rows by selecting the column, opening the Go To dialog box, selecting "Blanks," and deleting the selected rows.Benefits of Pasting Multiple ParagraphsWhen working with large amounts of text in Excel, it can be cumbersome and time-consuming to enter multiple paragraphs into separate cells. However, by pasting multiple paragraphs into a single cell, you can enjoy several benefits that streamline your workflow and enhance your data organization. In this article, we will explore the advantages of pasting multiple paragraphs in Excel.Save time by combining related information into one cellBy pasting multiple paragraphs into a single cell, you can consolidate related information in one place. This saves you the hassle of navigating through numerous cells to find relevant data. Instead, you can easily view and access all the necessary details within a single cell, allowing for more efficient data analysis and decision-making.Maintain formatting and structure of textWhen you copy and paste multiple paragraphs into a single cell, Excel retains the formatting and structure of the text.

Data relevant to that particular region from the master sheet.Using the FILTER functionThe FILTER function allows you to return a filtered version of a source range, returning only the rows that meet a certain set of conditions.Here’s how to use the FILTER function to sort your data into multiple sheets:Step 1Open your Google Sheets document containing the data you want to filter.Identify the range of data (including headers) that you will be working with.In our current example, we have a dataset containing sales data that we want to split by region.Specifically, we want to create two separate sheets for the Los Angeles region and Dallas region.Step 2We’ll create new sheets in our document to hold our filtered data.In this example, we’ll add two new sheets by clicking the Add Sheet button (+).We’ll rename them to identify what type of data we want to place there.Step 3In our current example, rows from the original data that match the region “Dallas” will now be displayed.We’ll repeat the previous steps to create a similar formula for the rest of the sheets.We’ll just replace the criteria of our FILTER function to match the data you want to show in the sheet.Using the QUERY functionSimilar to the FILTER function, we can use the QUERY function to split our original data into multiple tables and sheets.However, one advantage of the QUERY function is that it also allows us to handle header rows automatically and can even allow us to apply sorting to our output.Here’s how to use the QUERY functionStep 1Open your Google Sheets document that contains the master sheet with the data you want to split and sort.Step 2Create new sheets within the same document for each category you want to filter by.Go to the first new sheet and select the cell where you want to start displaying the filtered data.Step 3We’ll use the QUERY function to return all data in the original sheet that fits a specific condition.The first argument of the query function should be the cell range containing the original data.The second argument must be a string containing the query that will filter through your data.In our example, if you want to select all rows where the region is Dallas, we can use the formula =QUERY(‘Source Data’!A:C,”SELECT * WHERE B=’Dallas'”).We’ll then use a similar formula to fill out the remaining sheets. We’ll just need to adjust the WHERE section of our query to change the condition.13. Reverse sort data in Google SheetsReversing a sorted range is quite simple. We just need to change the sorting from ascending order to descending order or vice versa.For example, when sorting with the SORT function, we can simply adjust the third argument (is_ascending) to either TRUE or FALSE to reverse the sort order.However, if you wish to reverse the order of an unsorted list, we’ll need to use another method.Here’s how to return a dataset in reverse order in Google sheets:Step 1First, identify the range you want to sort and select the cell where you want