How can I get descriptive statistics of a NumPy array?

Question

I use the following code to create a numpy-ndarray. The file has 9 columns. I explicitly type each column:

dataset = np.genfromtxt("data.csv", delimiter=",",dtype=('|S1', float, float,float,float,float,float,float,int)) 

Now I would like to get some descriptive statistics for each column (min, max, stdev, mean, median, etc.). Shouldn't there be an easy way to do this?

I tried this:

from scipy import stats stats.describe(dataset) 

but this returns an error: TypeError: cannot perform reduce with flexible type

How can I get descriptive statistics of the created NumPy array?

Answer 1

import pandas as pd import numpy as np  df_describe = pd.DataFrame(dataset) df_describe.describe() 

please note that dataset is your np.array to describe.

import pandas as pd import numpy as np  df_describe = pd.DataFrame('your np.array') df_describe.describe()