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Tag: pandas

Python Excel styling using Pandas Library

I am coding a school project rn, where I have to analyse stocks and predict them. So now my problem is the code is finished, but I want to add colours in my Excel file. I am using the following libraries: requests bs4 pandas datetime So I looked up the whole Internet and found nothing helpful. This is my code

Connect the dots in pandas

TLDR I want to do the equivilent of an Excel VLOOKUP in pandas. The unique thing about this question is that the exact values I am looking up do not exist. I want to do a linear interpolation to look up the nearest value, so the usual .map approach does not work. Question I have a pandas series, with columns

Pandas optimize performance loc function

I’ve a dataset with > 50000 rows. Some of the data is missing, for that I’m using a nested loop and loc function to fill in the missing values. Dataset So what I’m doing basically is for the second row, I’ll find the mean of all the rating for usa and mean for all rating for 1, divide by 2

Replace an exact substring in column value

The ‘Last year (2019)’ should be replaced with ‘LY’ I tried this but it did not work. I have tried several regex attempts using ‘b’ but nothing seems to work. Any help is apprecciated Answer Following may help you here, you need to escape ( and ) to make it treat like as a literal character. Following is the testing

Create DF Columns Based on Second DDF

I have 2 dataframes with different columns: I would like to add the missing columns for the 2 dataframes – so each one will have each own columns + the other DFs columns (without column “number”). And the new columns will have initial number for our choice (let’s say 0). So the final output: What’s the best way to achieve

Transpose dataframe based on column list

I have a dataframe in the following structure: I would like to transpose – create columns from the names in cNames. But I can’t manage to achieve this with transpose because I want a column for each value in the list. The needed output: How can I achieve this result? Thanks! The code to create the DF: Answer One option

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