NumPy live coding Notebook

NumPy live coding Notebook#

import numpy as np

np.array([[1,2,3],[4,5,6]])

arr = np.array([[1,2,3],[4,5,6]])

arr

arr.shape

arr.T

arr.T.shape

arr

arr[0]

arr[1,:]

arr[1,1:2]

arr[1,1:]

np.arange(0, 10, 1)

np.arange(0, 10, 2)

np.linspace(0, 9, 10)

np.linspace(0, 9, 50)

np.zeros((2,3))

np.ones((3,2))

np.eye(3)

rand_arr = np.random.rand(100, 4)
rand_arr[:5,:]

np.random.randn(5, 4)

np.random.randint(0, 10, size=(5,4))

v = np.array([1,2,3,4])
v

v.shape

v2 = np.array([[1,2,3,4]])
v2

v2.shape

arr + 1

arr * 2

arr2 = np.ones((2,3)) * 3
arr2

arr * arr2

arr3 = np.ones((2,2)) * 3
arr * arr3

arr4 = np.ones((3,2)) * 3
arr @ arr4

np.matmul(arr, arr4)

np.dot(arr, arr4)

v3 = np.array([3,3,3,3]).T
np.dot(v2, v3)

import pandas as pd

my_dict = {'J':[1,4], 'F':[2,5], 'M':[3,6]}

df = pd.DataFrame(my_dict,index=['C1','C2'])

df

df['F']

df.loc[:,'F']

df['C1']

df.loc['C1']

df.loc['C1',:]

df.iloc[0]

arr = np.random.randn(100, 10)
df2 = pd.DataFrame(arr, columns='A B C D E F G H I J'.split())
df2.head()

df2.to_csv('example')

df3 = pd.read_csv('example', index_col=0)
df3.head()

df3.describe()