By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. How to Fix the ValueError: Column Must be Same Length as Key Error in Python? How to Fix ValueError: Columns be Must be Same Length as Key in Python? ***> | To learn more, see our tips on writing great answers. Why does contour plot not show point(s) where function has a discontinuity? and how to fix it, along with practical examples. What is the ValueError: Columns Must be Same Length as Key Error in Python? ---- Replied Message ---- As a result the error ValueError: Columns must be same length as key will appear, as per the below. When you attempt to replace the values of an existing column with a DataFrame (or a list-like object) whose number of columns doesnt match the number of columns its replacing. This repository has been archived by the owner on Oct 26, 2022. You can check if all columns in a DataFrame have the same length by using the all() function and comparing the length of each column to the length of the first column. Can I general this code to draw a regular polyhedron? valueerror: 'label' must be of length 'x' - CSDN As a result the error ValueError: Columns must be same length as key will appear, as per the below. Expected Output. How about saving the world? The second (or the last) dimension must match the number of columns you're trying to assign to. The objective here is to have all the columns from the right-hand side, beside the columns from the left-hand side as follows: What we have done is make both sides equal regards the no of columns to be shown from df2Essentially we are taking the column from DF1, and then bringing in the three columns from DF2.The columna, columnb, columnc below correspond to the three columns in DF2, and will store the data from them. I hope with this we can find where is the problem..because it seems it is randomly when the scripts has got a problem with this split.. You need a bit modify solution, because sometimes it return 2 and sometimes only one column: Another possible data - all data have no whitespaces and solution working too: To solve this error, check the shape of the object you're trying to assign the df columns (using np.shape).