I have a list that looks like this. I want to name each list element (the character vectors) with the name of the list they are in. All element of the same vector must have the same name
I am trying to clean my dataframe such that if my "Base_2007" and "Base_2011" column contains NA, then I should completely drop that county. In my case since both Counties contains NA both of them will be dropped. Thus empty dataset will be returned. Is it possible to do something...
Let's have a following datafrane: How to transform the given data.frame to one character vector without spaces?
I am trying to perform a groupby filter that is very similar to the example in this documentation: pandas groupby filter
I have a data-frame like I want to filter them in a priority like this: If colC == E then return E, after that check colB == D return D otherwise return colA The output is
I have a data set that has the following information:If the value of UniqueNumber > 0, I would like to sum the values with dplyr for each subject from rows 1 through UniqueNumber and calculate the mean. So for Subject 001, sum = 2 and mean = .67.
Given the dataif I try constructing a dataframe like thisit works fine. However, this(which I would expect to be equivalent) fails with the weird error: KeyError: 'x'. What's wrong?
I have two lists like so:How do I combine the lists into one set of tuples for a pandas dataframe?like so:
I would like to find the closest value to column x3 below.So desired output will bePlease help. Thank you
Say I have two data frames:df1:df2:I want the result to be the union of the two frames with an extra column showing the source data frame that the row belongs to. In case of duplicates, duplicates should be removed and the respective extra column should show both sources: