Is there a more advanced function like the describe that the pandas has? Normally i will go on like :
r = pd.DataFrame(np.random.randn(1000), columns = ['A'])
r.describe()
and i will get a nice summary.Like this one:
A
count 1000.000000
mean 0.010230
std 0.982562
min -2.775969
25% -0.664840
50% 0.015452
75% 0.694440
max 3.101434
Can i find something a little more elaborate in statsmodels or scipy maybe?
from scipy.stats import describe
describe(r, axis=0)
It will give you the size, (min,max), mean, variance, skewness, and kurtosis
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