I have a dataset that contains the date and the winning numbers of eurojackpot from 2012 to this date. The data looks like this (full data can be found on this link GitHub repository – CSV file):

Good morning. I’m working on a project and am having issues reading a CSV on a file with more than 36,000 rows. When I run it normally:

I have a csv dataset which I’m trying to read into a DataFrame using pd.read_csv() but the csv has a number of bad rows which can’t be type cast to the types I’m expecting. Is there a way to skip all these rows within the read_csv() function?

I want to merget 2 CSV files into one CSV and remove all duplicated rows based on a column (second column).

I have a csv file, which has couple of columns. The one I’m interested is ‘Date’ column and more specifically I’m interested by the first row of that column, the first date that appears.