python - Classifying Data in a New Column -


i have following df:

column 1 1 2435 3345 104 505 6005 10000 80000 100000 4000000 4440 520 ...

this structure not best plot histogram, main purpose. bins don't solve problem either, @ least i've tested far. that's why create own bins in new column:

i want assign every value within range in column 1 bucket in column2, this:

column 1    column2 1           < 10000 2435        < 10000 3345        < 10000   104         < 10000 505         < 10000 6005        < 10000 10000       < 50000 80000       < 150000 100000      < 150000 4000000     < 250000 4440        < 10000 520         < 10000 ...

once there, creating plot easier.

thanks!

there pandas equivalent cut there section describing here. cut returns open closed intervals each value:

in [29]:     df['bin'] = pd.cut(df['column 1'], bins = [0,10000, 50000, 150000, 25000000]) df  out[29]:      column 1                 bin 0          1          (0, 10000] 1       2435          (0, 10000] 2       3345          (0, 10000] 3        104          (0, 10000] 4        505          (0, 10000] 5       6005          (0, 10000] 6      10000          (0, 10000] 7      80000     (50000, 150000] 8     100000     (50000, 150000] 9    4000000  (150000, 25000000] 10      4440          (0, 10000] 11       520          (0, 10000]

the dtype of column category , can used filtering, counting, plotting etc.


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