I am trying to build a function that will take a python data frame and check any column that is an object, then label encode and transform all the object that types and return a transformed data frame

I have a dataframe like so :

So this is my first time using pandas and the only info i can find other than unrelated issues here is in the documentation and ive read it over several times and im not sure what im doing wrong my attempt is to pull user info from a CSV file and the current program im using to figure it out simply prints the collected data but every time i run the program it pops a KeyError but my column names are number based with names and user IDs in the table but whether its a string or integer it says the same KeyError(1).

I have a dataframe like so:

I am trying to run a calculation on a Pandas Dataframe and don’t understand why the direct calculation fails and the loop calculation works. The direct calculation works if I remove the math.sqrt function.

I have a dataframe with many columns representing football match stats.

I have a simple dataset that I want to do a rolling operation on. The dataset looks like this:

I have a data frame which have three columns User Name, Designation, and Vertical Report.
User Name has a designation and to whom the username report is in Vertical Report column.

I want to expand my data frame based on numeric values in a column (index_end). My df looks like this: