dataframe_tables#
- beatmap.vis.dataframe_tables(bet_results, mask_results)#
Creates and populates pandas dataframes summarizing BET results.
- Parameters:
- bet_resultsnamedtuple
Contains elements that result from BET analysis. Relevant fields are:
bet_results.iso_df(DataFrame) : experimental isotherm data.bet_results.ssa(ndarray) : specific surface areas for all relp ranges.bet_results.c(ndarray) : BET constants for all relp ranges.bet_results.err(ndarray) : error values for all relp ranges.
- mask_resultsnamedtuple
Contains the results of applying the Rouquerol criteria to BET results. Relevant fields are:
mask_results.mask(MaskedArray) : object where invalid BET results are masked.
- Returns:
- ssa_tableDataFrame
Summary of BET results, highlighting the high, low, and average values of specific surface area.
- c_tableDataFrame
Summary of BET results, highlighting the high, low, and average values of the BET constant.
- ssa_stdfloat
Atandard deviation of valid specific surface area values.
- c_stdfloat
Standard deviation of valid BET constant values.