A multi-index (also known as a hierarchical index) allows the manipulation of higher-dimensional data in a 2-dimensional tabular structure.
Say I have a dictionary that looks like this: dictionary = {'A' : {'a': [1,2,3,4,5], 'b': [6,7,8,9,1]}, 'B' : {'a': [2,3,4,5,6], 'b': [7,8,9,1,2]}} and I want a …
python dictionary pandas dataframe multi-indexGiven a dictionary of data frames like: dict = {'ABC': df1, 'XYZ' : df2} # of any length... where each data frame has …
python pandas multi-indexI'm suspicious that this is trivial, but I yet to discover the incantation that will let me select rows from …
python pandas dataframe multi-indexI have some hierarchical data which bottoms out into time series data which looks something like this: df = pandas.DataFrame( {…
python pandas time-series multi-index hierarchical-dataI am working with pandas dataframes that are essentially time series like this: level Date 1976-01-01 409.67 1976-02-01 409.58 1976-03…
python pandas multi-indexI have a dataframe with Multiindex and would like to modify one particular level of the Multiindex. For instance, the …
python pandas immutability multi-indexI wanted to ask a questions regarding merging multiindex dataframe in pandas, here is a hypothetical scenario: arrays = [['bar', 'bar', …
python pandas merge multi-indexUsing the Pandas package in python, I would like to sum (marginalize) over one level in a series with a 3…
python pandas statistics multi-indexI have DataFrame with MultiIndex columns that looks like this: # sample data col = pd.MultiIndex.from_arrays([['one', 'one', 'one', …
python pandas multi-index hierarchicalI have a .csv file that looks like this: Male, Male, Male, Female, Female R, R, L, R, R .86, .67, .88, .78, .81 I …
csv pandas multi-index