How to delete columns in a CSV file?
I have been able to create a csv with python using the input from several users on this site and I wish to express my gratitude for your posts. I am now stumped and will post my first question.
I have been able to create a csv with python using the input from several users on this site and I wish to express my gratitude for your posts. I am now stumped and will post my first question.
I need to read a CSV file which has fields that have a comma, so I have double quoted the fields which contains commas, such as:
I have a very large data set and I can’t afford to read the entire data set in. So, I’m thinking of reading only one chunk of it to train but I have no idea how to do it. Any thought will be appreciated.
I am trying to write a csv file into a table in SQL Server database using python. I am facing errors when I pass the parameters , but I don’t face any error when I do it manually. Here is the code I am executing.
I have a Python script that imports a large CSV file and then counts the number of occurrences of each word in the file, then exports the counts to another CSV file.
when I do curl to a API call link http://example.com/passkey=wedsmdjsjmdd
I try to read and print the following file: txt.tsv (https://www.sec.gov/files/dera/data/financial-statement-and-notes-data-sets/2017q3_notes.zip)
I wonder how to add new DataFrame data onto the end of an existing csv file? The to_csv doesn’t mention such functionality.
I’m reading in a pandas DataFrame using pd.read_csv. I want to keep the first row as data, however it keeps getting converted to column names.
For example, i would like to transform: