Advertisement
Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- import numpy as np
- import pandas as pd
- import matplotlib.pyplot as plt
- x = np.arange(10)
- x = np.concatenate((x,x))
- y = []
- for i in range(2):
- y.append(np.random.random_integers(0,10,20))
- d = {'A': [(x[i], y[0][i]) for i in range(20)],
- 'B': [(x[i], y[1][i]) for i in range(20)]}
- df = pd.DataFrame(d, index = list('aaaaaaaaaabbbbbbbbbb'))
- A B
- a (0, 2) (0, 10)
- a (1, 0) (1, 8)
- a (2, 3) (2, 8)
- a (3, 7) (3, 8)
- a (4, 8) (4, 10)
- a (5, 2) (5, 0)
- a (6, 1) (6, 4)
- a (7, 3) (7, 9)
- a (8, 4) (8, 4)
- a (9, 4) (9, 10)
- b (0, 0) (0, 3)
- b (1, 2) (1, 10)
- b (2, 8) (2, 3)
- b (3, 1) (3, 7)
- b (4, 6) (4, 1)
- b (5, 8) (5, 3)
- b (6, 1) (6, 4)
- b (7, 1) (7, 1)
- b (8, 2) (8, 7)
- b (9, 9) (9, 3)
- df['A.x'], df['A.y'] = zip(*df.A)
- df['B.x'], df['B.y'] = zip(*df.B)
- >>> df.head()
- A B A.x A.y B.x B.y
- a (0, 6) (0, 0) 0 6 0 0
- a (1, 8) (1, 4) 1 8 1 4
- a (2, 8) (2, 5) 2 8 2 5
- a (3, 5) (3, 2) 3 5 3 2
- a (4, 2) (4, 4) 4 2 4 4
- df['a1'], df['a2'] = df['A'].str[0], df['A'].str[1]
- df['b1'], df['b2'] = df['B'].str[0], df['B'].str[1]
- print (df)
- A B a1 a2 b1 b2
- a (0, 5) (0, 1) 0 5 0 1
- a (1, 0) (1, 5) 1 0 1 5
- a (2, 3) (2, 9) 2 3 2 9
- a (3, 3) (3, 8) 3 3 3 8
- a (4, 7) (4, 9) 4 7 4 9
- a (5, 9) (5, 4) 5 9 5 4
- a (6, 3) (6, 3) 6 3 6 3
- a (7, 5) (7, 0) 7 5 7 0
- a (8, 2) (8, 3) 8 2 8 3
- a (9, 4) (9, 5) 9 4 9 5
- b (0, 7) (0, 0) 0 7 0 0
- b (1, 6) (1, 2) 1 6 1 2
- b (2, 8) (2, 3) 2 8 2 3
- b (3, 8) (3, 8) 3 8 3 8
- b (4, 10) (4, 1) 4 10 4 1
- b (5, 1) (5, 3) 5 1 5 3
- b (6, 6) (6, 3) 6 6 6 3
- b (7, 7) (7, 3) 7 7 7 3
- b (8, 7) (8, 7) 8 7 8 7
- b (9, 8) (9, 0) 9 8 9 0
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement