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Tag: pandas

Using Functions rather than one liners Python

I am trying to use Python functions to perform data preprocessing. I want to have efficient code. I have like 8 files that I am reading to load them and do some sort of analysis. How would one achieve that using a function and the .head() to read all the CSV files? For instance instance I have loaded my data

Quarter end from today’s date

I’m trying to get a quarter end date based on today’s date, but I wanted to strip the time first. If I do that, the below code throws me an error on the last line AttributeError: ‘datetime.datetime’ object has no attribute ‘to_period’ Could you advise me, how to improve it …

What’s the most pandiastic way to join 2 instances of pd.Index?

I have 2 pandas index instances that come from different functions / a bit of a complicated mask to get to those. I would now like to combine those, i.e., define a ‘combined index’ that holds all labels contained in either of the two. My friend pd.concat() cannot be applied to 2 index instances. W…