I'm trying to read a .csv file into Python (Spyder) but I keep getting an error. My code: import csv data = open("C:\Users\miche\Documents\s
I get the following error with my code: Traceback (most recent call last): File "C:\Users\XXX\Sentiment Analysis-vader.py", line 34, in <module> f.pri
Pandas lets you pass an AWS S3 path directly to .to_csv() and .to_parquet(). There's a storage_options argument for passing S3 specific arguments. I would like
I'm trying to use pandas to manipulate a .csv file but I get this error: pandas.parser.CParserError: Error tokenizing data. C error: Expected 2 fields in li
I would like to know how to read a csv file using sql. I would like to use group by and join other csv files together. How would i go about this in python. exa
Currently I am getting the below Error and I am tried out the below posts: Solution 1 Solution 2 But I am not able to get the error resolved. My python code is
I have a table with 1000 columns (yes its normalized), that is storing Biiig Daaata! I need to Insert Update new data as it becomes available overnight, and f
I want to read in a very large csv (cannot be opened in excel and edited easily) but somewhere around the 100,000th row, there is a row with one extra column ca
I am writing a program that takes students scores from a csv file and needs to sort then highest to lowest score. the csv file looks like this: josh 12 john
I am writing a program that takes students scores from a csv file and needs to sort then highest to lowest score. the csv file looks like this: josh 12 john
I want to create undirected weighted graph of a given adjacency matrix by reading it from a csv. I can read it from a csv but I don't know how to draw its in gr
I have a folder with a bunch of dbf files I would like to convert to csv. I have tried using a code to just change the extension from .dbf to .csv, and these f
I'm working on a project using CloudSim simulation tool for masters. I want to know how to save the output of the printCloudletList to a csv file in NetBeans. A
I am using https://github.com/databricks/spark-csv , I am trying to write a single CSV, but not able to, it is making a folder. Need a Scala function which wil
Given a dataset with the following structure: time var1 var2 var2 var1 var3 loc1 loc1 loc2 loc2 loc1 1 11 12 13 14 15 2 21
Given a dataset with the following structure: time var1 var2 var2 var1 var3 loc1 loc1 loc2 loc2 loc1 1 11 12 13 14 15 2 21
i have this error and i don't know why i got it. I followed the steps from my Python manual and i got this. I am tryng to cleanup the file on column 8 and 9 if
Let's suppose I have a temporary table which looks like this: +----+------+ | Id | Value| +----+------+ | 1 | 1 | | 1 | 2 | | 1 | 3 | | 2 |
I'm trying to loop through a folder that has zip files in it, and only extracting the csv files that start with a certain prefix. Here is the code: for name in
I am trying to understand how to write a multiple line csv file to google cloud storage. I'm just not following the documentation Close to here: Unable to rea