fix unique bin error:
duplicates='drop '
删除质量
rankyourdatawithdataframe.rank (method=“first”).therankingassignsauniquevaluetoeachelementinthedataframe ) therank whilekeepingtheorderoftheelements (exceptforidenticalvalues，whichwillberankedinordertheyappearinthearrry，seemethod=‘fithod
Example:
PD.qcut(df，nbins )-- this generates谨慎的绿草： Bin edges must be unique "
Then use this instead:
PD.qcut(df.rank ) method='first '，nbins ) )
Specify a custom quantiles range，e.g. [0， 50， 75，1.] togetunequalnumberofitemsperquantile
use pandas.cutthatchoosesthebinstobeevenlyspacedaccordingtothevaluesthemselves，while pandas.qcutchoosesthebinssothatyouathouhatyouhatyouhavathatyouhavespallllesphespathespatt
Difference between qcut and cut
qcut:保证每组数量的平均
cut:由组内的values分开，组内不一定平均