Update – I think Pandas was treating the first row that I wanted, as a header. I replaced header= with skiprows= and created a header with names=, I now am getting the output I want

Update – I think Pandas was treating the first row that I wanted, as a header. I replaced header= with skiprows= and created a header with names=, I now am getting the output I want

Update – I think Pandas was treating the first row that I wanted, as a header. I replaced header= with skiprows= and created a header with names=, I now am getting the output I want

Update – I think Pandas was treating the first row that I wanted, as a header. I replaced header= with skiprows= and created a header with names=, I now am getting the output I want

I need help for my Dissertation Project. I am working on a Python project as part of my Masters Degree at my university in England, UK. I am in the midst of cleaning the dataset I have gotten through the Kaggle platform which contains over one million movies in terms of their titles, budget, box-office revenue, genres, popularity, reviews, keywords etc. Here is the weblink for clarification (I got the latest update):

I need help for my Dissertation Project. I am working on a Python project as part of my Masters Degree at my university in England, UK. I am in the midst of cleaning the dataset I have gotten through the Kaggle platform which contains over one million movies in terms of their titles, budget, box-office revenue, genres, popularity, reviews, keywords etc. Here is the weblink for clarification (I got the latest update):

I need help for my Dissertation Project. I am working on a Python project as part of my Masters Degree at my university in England, UK. I am in the midst of cleaning the dataset I have gotten through the Kaggle platform which contains over one million movies in terms of their titles, budget, box-office revenue, genres, popularity, reviews, keywords etc. Here is the weblink for clarification (I got the latest update):

I need help for my Dissertation Project. I am working on a Python project as part of my Masters Degree at my university in England, UK. I am in the midst of cleaning the dataset I have gotten through the Kaggle platform which contains over one million movies in terms of their titles, budget, box-office revenue, genres, popularity, reviews, keywords etc. Here is the weblink for clarification (I got the latest update):

I need help for my Dissertation Project. I am working on a Python project as part of my Masters Degree at my university in England, UK. I am in the midst of cleaning the dataset I have gotten through the Kaggle platform which contains over one million movies in terms of their titles, budget, box-office revenue, genres, popularity, reviews, keywords etc. Here is the weblink for clarification (I got the latest update):

Say I have a dataframe with 2 columns, how would I create all possible combinations for a specific combination size? Each row of the df should be treated as 1 item in the combination rather than 2 unique separate items. I want the columns of the combinations to be appended to the right.