Is there a way to omit some of the output from the pandas describe? This command gives me exactly what I want with a table output (count and mean of executeTime's by a simpleDate)
df.groupby('simpleDate').executeTime.describe().unstack(1)
However that's all I want, count and mean. I want to drop std, min, max, etc... So far I've only read how to modify column size.
I'm guessing the answer is going to be to re-write the line, not using describe, but I haven't had any luck grouping by simpleDate and getting the count with a mean on executeTime.
I can do count by date:
df.groupby(['simpleDate']).size()
or executeTime by date:
df.groupby(['simpleDate']).mean()['executeTime'].reset_index()
But can't figure out the syntax to combine them.
My desired output:
count mean
09-10-2013 8 20.523
09-11-2013 4 21.112
09-12-2013 3 18.531
... .. ...
Describe returns a series, so you can just select out what you want
In [6]: s = Series(np.random.rand(10))
In [7]: s
Out[7]:
0 0.302041
1 0.353838
2 0.421416
3 0.174497
4 0.600932
5 0.871461
6 0.116874
7 0.233738
8 0.859147
9 0.145515
dtype: float64
In [8]: s.describe()
Out[8]:
count 10.000000
mean 0.407946
std 0.280562
min 0.116874
25% 0.189307
50% 0.327940
75% 0.556053
max 0.871461
dtype: float64
In [9]: s.describe()[['count','mean']]
Out[9]:
count 10.000000
mean 0.407946
dtype: float64