I would like to connect specific rows in a Pandas dataframe.
I have a column „text“ and another column „name“. Each entry of the column „text“ has a string. Some entries of the column „name“ are empty so I would like to connect the row n, that has an empty entry in the column „name“ with the row (n-1). If the row (n-1) has also an empty entry in the column „name“, the rows should connect both to the next row that has an entry in the column „name“.
For example:
Input:
Text=["Abc","def","ghi","jkl","mno","pqr","stu"]Name=["a","b","c",““,““,"f","g"]Expected Output:
Text= ["Abc","def","ghijklmno","pqr","stu"]Name = ["a","b","c","f","g"]I'd like to make my question more understandable:
I have two lists:
index = [3,6,8,9,10,12,15,17,18,19]text = ['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z']new = []for i in range(0,len(text)): if i not in index: if i+1 not in index: new.append(text[i]) if i in index: new.append(text[i-1]+''+ text[i])The list index shows the false splits of the text (when column name has no value).Therefore, I'd like to append e.g. text[3] to text[2]. So I'll get a new entry 'c d'.
Finally, the output should be:
new = ['a','b,'c d','e','f g','hijk','lm','n','op','qrst','u','v','w','x','y','z']These lists are just a simplified example for my large textlist. I don't know how many entries I have to connect together. My algorithm works only when I have to connect an entry n with the entry n-1. But it's also possible that I have to connect the entry n with the entries until n-10, so I get one large entry.
I hope my question is now more understandable.