I have a large simulation on a DataFrame df which I am trying to parallelize and save the results of the simulations in a DataFrame called simulation_results. The parallelization loop is working ju...

In python pandas, the shift function is useful to shift the rows in the dataframe forward and possible relative to the original which allows for calculating changes in time series data. What is the...

I have a csv file which looks like below, 20×2 DataFrame │ Row │ Id │ Date │ │ │ Int64 │ String │ ├─────┼───────┼────────────┤ │ 1 │ 1 │ 01-01-2010 │ │ 2 │ 2 │ 02-01-2010 │ │ 3 │ 3 │ 03-01-2010 │ │...

What's the canonical way of finding a row in a DataFrame in DataFrames.jl? For instance, given this DataFrame: │ Row │ uuid │ name │ │ String │ String ├──────┼────────────────────────────────────...

I have a df like below, I want to get dictionary from the df. df = DataFrame(id=[1, 2, 3, 4], value=["Rajesh", "John", "Jacob", "sundar"], other=[0.43, 0.42,...

I have a df which contains, nothing, NaN and missing. to remove rows which contains missing I can use dropmissing. Is there any methods to deal with NaN and nothing? Sample df: │ Row │ x │ y │ │ │ ...