How to sort pandas data frame using values from several columns?

Question

I have the following data frame:

df = pandas.DataFrame([{\'c1\':3,\'c2\':10},{\'c1\':2, \'c2\':30},{\'c1\':1,\'c2\':20},{\'c1\':2,\'c2\':15},{\'c1\':2,\'c2\'         


        

Answer 1

DataFrame.sort is deprecated; use DataFrame.sort_values.

>>> df.sort_values(['c1','c2'], ascending=[False,True])
   c1   c2
0   3   10
3   2   15
1   2   30
4   2  100
2   1   20
>>> df.sort(['c1','c2'], ascending=[False,True])
Traceback (most recent call last):
  File "", line 1, in 
  File "/Users/ampawake/anaconda/envs/pseudo/lib/python2.7/site-packages/pandas/core/generic.py", line 3614, in __getattr__
    return object.__getattribute__(self, name)
AttributeError: 'DataFrame' object has no attribute 'sort'