I have a CSV file and I want to bulk-import this file into my sqlite3 database using Python. the command is “.import …..”. but it seems that it cannot work like this. Can anyone give me an example of how to do it in sqlite3? I am using windows just in case.
Thanks
I’m currently trying to read data from .csv files in Python 2.7 with up to 1 million rows, and 200 columns (files range from 100mb to 1.6gb). I can do this (very slowly) for the files with under 300,000 rows, but once I go above that I get memory errors. My code looks like this:
I have a long list of lists of the following form —
Is there a way to dump a NumPy array into a CSV file? I have a 2D NumPy array and need to dump it in human-readable format.
In order to test some functionality I would like to create a DataFrame from a string. Let’s say my test data looks like:
I am using below referred code to edit a csv using Python. Functions called in the code form upper part of the code.
What’s the Python way to read in a CSV file into a pandas DataFrame (which I can then use for statistical operations, can have differently-typed columns, etc.)?
I’m trying to read a csv-file from given URL, using Python 3.x:
Below is my code that I’d like some help with.
I am having to run it over 1,300,000 rows meaning it takes up to 40 minutes to insert ~300,000 rows.
I need to create a data frame by reading in data from a file, using read_csv method. However, the separators are not very regular: some columns are separated by tabs (t), other are separated by spaces. Moreover, some columns can be separated by 2 or 3 or more spaces or even by a combination of spaces and tabs (for example 3 spaces, two tabs and then 1 space).