I have a csv file of 8gb and I am not able to run the code as it shows memory error.
file = \"./data.csv\" df = pd.read_csv(file, sep=\"/\", header=0, dtype=str
You also might want to use the das framework and it's built in dask.dataframe. Essentially, the csv file is transformed into multiple pandas dataframes, each read in when necessary. However, not every pandas command is avaialble within dask.