daily log 11.13.20

less than 1 minute read

NUMPY

np.arrange
np.zeros((5,5))
np.random.randint(0,100,10)
np.linspace(0,10,101)
np.random.seed(101)

arr.max()
arr.min()
arr.mean()
# index of max value
arr.argmax()
arr.argmin()
arr.reshape(2,5)

INDEXING & MASKING

Masking allows you to use conditional filters to grab elements

mat = np.arrange(0,100).reshape(10,10)
# get specific number
mat[5,2]
mat[:,2]
mat[2,:]
# how to mask conditionals
mat[mat>50]