import numpy as np
a = np.array([1, 2, np.nan, np.nan])
print(np.max(a),  np.nanmax(a))

import numpy as np
x = np.fmin([1, -5, 6], [0, np.nan, -1])
print(*x)

import numpy as np
x = np.fmax([1, -5, 6], [2, np.nan, -1])
print(*x)

import numpy as np
x = np.maximum([1, -5, 6], [0, np.nan, -1])
print(*x)

import numpy as np
a = np.array([[1, 2, 3, 4]])
print(np.percentile(a, 50))

import numpy as np
x = np.array([1, 4, 9, 16])
print(np.mean(x))

import numpy as np
x = np.array([1, 4, 9, 16])
print(np.median(x))

import numpy as np
x = np.array([1, 2, 3, 4])
print(np.average(x, weights=[2, 1, 0, 5]))

import numpy as np
x = np.array([1, 2])
print(np.std(x))

import numpy as np
x = np.array([1., 2., np.nan])
print(np.nanstd(x))