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Tag: pivot

Pivot matrix to time-series – Python

I’ve got a dataframe with date as first column and time as the name of the other columns. Date 13:00 14:00 15:00 16:00 … 2022-01-01 B R M M … 2022-01-02 B B B M … 2022-01-03 R B B M … How could I transform that matrix into a datetime time-series? My objective its something like this: Date Data

Python: Rows to Column in Pandas Dataframe

I have following dataframe: Out: There are different metrics at column “metric_name” with its own value. To have a better dataset for time series forecasting I want to convert my Dataframe. I want every single metric in “metric_name” as new column in the dataset. See here all different metrics in “metric_name”: Out: What can I do to solve this? I

pivot df with duplicates as new rows

Evening, I have a dataframe that I want to reshape. there are duplicate id vars for some columns, and i want the duplicate values to appear as new rows my data looks like this, and i want to have the ids as a row, with the group as column, and the choices as the values. if there are multiple choices

Non-recursive Quicksort

How do i make the bottom function non-recursive, ive tried but by creating new functions which is not the point in this problem. The first function is given and the inplace_quicksort_non_recursive is created by me. What do i need to create so the bottom function becomes non-recursive Answer The question is using a variation of Hoare partition scheme (but with

Plotting Pandas DataFrame from pivot

I am trying to plot a line graph comparing the Murder Rates of particular States through the years 1960-1962 using Pandas in a Jupyter Notebook. A little context about where I am now, and how I arrived here: I’m using a crime csv file, which looks like this: I’m only interested in 3 columns for the time being: State, Year,

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