Advanced Describe Pandas
pandas, python, statistics
Solution
from scipy.stats import describe
describe(r, axis=0)
It will give you the size, (min,max), mean, variance, skewness, and kurtosis
Problem
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?