How do you split reading a large csv file into evenly-sized chunks in Python?
In a basic I had the next process.
In a basic I had the next process.
I want to run a command which prompts me to enter yes/no or y/n or whatever. If I just run the command local("my_command") then it stops and asks me for input. When I type what is needed, script continues to work. How can I automatically respond to the prompt?
I am trying to upload a CSV file, work on it to produce results, and write back (download) a new CSV file containing the result.
I am very new to Flask and I am not able to get a “proper” csv.reader object to iterate and work upon.
Here is the code so far,
I’d like to have a python program alert me when it has completed its task by making a beep noise. Currently, I use import os and then use a command line speech program to say “Process complete”. I much rather it be a simple “bell.”
I have a DataFrame, say a volatility surface with index as time and column as strike. How do I do two dimensional interpolation? I can reindex but how do i deal with NaN? I know we can fillna(method='pad') but it is not even linear interpolation. Is there a way we can plug in our own method to do interpolation?
I’ve got an object with a short string attribute, and a long multi-line string attribute. I want to write the short string as a YAML quoted scalar, and the multi-line string as a literal scalar:
I have a textfile, let’s call it goodlines.txt and I want to load it and make a list that contains each line in the text file.
How do you store a “blob” of binary data using Django’s ORM, with a PostgreSQL backend? Yes, I know Django frowns upon that sort of thing, and yes, I know they prefer you use the ImageField or FileField for that, but suffice it to say, that’s impractical for my application.
In the documentation for xlrd and xlwt I have learned the following:
I can’t figure out what’s wrong with the following code,
The syntax IS ok (checked with SQL Management Studio), i have access as i should so that works too.. but for some reason as soon as i try to create a table via PyODBC then it stops working.