New submission from Luc <ouaga...@gmail.com>: When a list or dataframe serie contains NaN(s), the median, median_low and median_high are computed in Python 3.6.4 statistics library, however, the results are wrong. Either, it should return a NaN just like when we try to compute a mean or point the user to drop the NaNs before computing those statistics. Example: import numpy as np import statistics as stats
data = [75, 90,85, 92, 95, 80, np.nan] Median = stats.median(data) Median_low = stats.median_low(data) Median_high = stats.median_high(data) The results from above return ALL 90 which are incorrect. Correct answers should be: Median = 87.5 Median_low = 85 Median_high = 92 Thanks, Luc ---------- components: Library (Lib) messages: 313933 nosy: dcasmr priority: normal severity: normal status: open title: Computing median, median_high an median_low in statistics library type: behavior versions: Python 3.6 _______________________________________ Python tracker <rep...@bugs.python.org> <https://bugs.python.org/issue33084> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
