Pandas study notes, dataframe sorting problems

Data sources see the front of a few essays

Sort one of the columns

Data.high.sort_values (ascending=False) data.high.sort_values (Ascending=True) data['  High ']. Sort_values (ascending=False) data['high'].sort_values (ascending=true)

p = data.high.sort_values ()

Print (P)

Date2015-01-05    11.392015-01-06    11.662015-01-09    11.712015-01-08    11.922015-01-07    11.99Name:high, Dtype:float64

You can see that a series is returned

We can also sort the entire dataframe

t = data.sort_values (['High ' "Low'],ascending=  True)print(t)

Priority by high sort, high with same, sort by lower

Open High Close low volume Price_change P_change date 2015-01-05 11.16 11.39 11.26 10.89 46383.57 0.14 1.26 2015-01-06 11.13 11.66 11.61 11.03 59199.9  3 0.35 3.11 2015-01-09 11.68 11.71 11.23 11.19 44851.56-0.44-3.77 2015-01-08 11.70      11.92 11.67 11.64 56845.71-0.25-2.10 2015-01-07 11.58 11.99 11.92 11.48 86681.38 0.31 2.67ma5 ma10 ma20 v_ma5 v_ma10 v_ma20 turnover date 2015-01-05 11.156 11.212 11.370 58648.75 68429.87 100765.24 1.59 2015-01-06 11.182 11.155 11.382 54854.38 63401.05 98686.98 2.03 2015-01-09 11.538 11.363 11.682 58792.43 60665.93 107924.27 1.54 2015-01-08 1 1.516 11.349 11.647 57268.99 61376.00 105823.50 1.95 2015-01-07 11.366 11.251 11.543 55049.74 61628.07 10 3010.58 2.97

Pandas study notes, dataframe sorting problems