About 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
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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.
