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,
Given this CSV file:
Is there a way to convert values like ‘34%’ directly to int or float when using read_csv in pandas? I want ‘34%’ to be directly read as 0.34
All I would like to do is delete a row if it has a value of ‘0’ in the third column. An example of the data would be something like:
In a text file, I want to remove , (commas) and also the " (quotes) (only if the double quotes contains numbers separated by commas).
I use a lot of grep awk sort in my unix shell to work with medium-sized (around 10M-100M lines) tab-separated column text files. In this respect unix shell is my spreadsheet.
Sometimes, I’m getting as an input tab separated list, which is not quite aligned, for instance
How can I do the following to a CSV file using sed or awk?
I have the following data (a list of R packages parsed from a Rmarkdown file), that I want to turn into a list I can pass to R to install: