
import numpy as np


#Q25
a = np.arange(100, 1000, 10)
print(a)

[100 110 120 130 140 150 160 170 180 190 200 210 220 230 240 250 260 270
 280 290 300 310 320 330 340 350 360 370 380 390 400 410 420 430 440 450
 460 470 480 490 500 510 520 530 540 550 560 570 580 590 600 610 620 630
 640 650 660 670 680 690 700 710 720 730 740 750 760 770 780 790 800 810
 820 830 840 850 860 870 880 890 900 910 920 930 940 950 960 970 980 990]


#Q26
b = a.reshape(    (9, -1)   )
b = a.reshape(    (9, 10)   )
b = a.reshape(    (-1, 10)   )
print(b)

[[100 110 120 130 140 150 160 170 180 190]
 [200 210 220 230 240 250 260 270 280 290]
 [300 310 320 330 340 350 360 370 380 390]
 [400 410 420 430 440 450 460 470 480 490]
 [500 510 520 530 540 550 560 570 580 590]
 [600 610 620 630 640 650 660 670 680 690]
 [700 710 720 730 740 750 760 770 780 790]
 [800 810 820 830 840 850 860 870 880 890]
 [900 910 920 930 940 950 960 970 980 990]]


#Q27
c = np.ones((9, 10))
c = np.ones(b.shape)
print(c)

[[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
 [1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
 [1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
 [1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
 [1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
 [1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
 [1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
 [1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
 [1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]]


#Q28
#d = np.full(c.shape, 1000.)
d = c * 1000
d = c + 999
print(d)

[[1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000.]
 [1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000.]
 [1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000.]
 [1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000.]
 [1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000.]
 [1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000.]
 [1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000.]
 [1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000.]
 [1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000. 1000.]]


#Q29
e = b + d
print(e)

[[1100. 1110. 1120. 1130. 1140. 1150. 1160. 1170. 1180. 1190.]
 [1200. 1210. 1220. 1230. 1240. 1250. 1260. 1270. 1280. 1290.]
 [1300. 1310. 1320. 1330. 1340. 1350. 1360. 1370. 1380. 1390.]
 [1400. 1410. 1420. 1430. 1440. 1450. 1460. 1470. 1480. 1490.]
 [1500. 1510. 1520. 1530. 1540. 1550. 1560. 1570. 1580. 1590.]
 [1600. 1610. 1620. 1630. 1640. 1650. 1660. 1670. 1680. 1690.]
 [1700. 1710. 1720. 1730. 1740. 1750. 1760. 1770. 1780. 1790.]
 [1800. 1810. 1820. 1830. 1840. 1850. 1860. 1870. 1880. 1890.]
 [1900. 1910. 1920. 1930. 1940. 1950. 1960. 1970. 1980. 1990.]]


#Q30
e = np.arange(1100, 2000, 10).reshape((9, 10))
e = np.arange(1100, 2000, 10).reshape((9, -1))
e = np.arange(1100, 2000, 10).reshape((-1, 10))
e = np.linspace(1100, 1990, 90).reshape((9, 10))
e = np.linspace(1100, 1990, 90).reshape((9, -1))
e = np.linspace(1100, 1990, 90).reshape((-1, 10))
e = (np.arange(90)*10. + 1100).reshape((9, 10))
e = (np.arange(90)*10. + 1100).reshape((9, -1))
e = (np.arange(90)*10. + 1100).reshape((-1, 10))
print(e)

[[1100. 1110. 1120. 1130. 1140. 1150. 1160. 1170. 1180. 1190.]
 [1200. 1210. 1220. 1230. 1240. 1250. 1260. 1270. 1280. 1290.]
 [1300. 1310. 1320. 1330. 1340. 1350. 1360. 1370. 1380. 1390.]
 [1400. 1410. 1420. 1430. 1440. 1450. 1460. 1470. 1480. 1490.]
 [1500. 1510. 1520. 1530. 1540. 1550. 1560. 1570. 1580. 1590.]
 [1600. 1610. 1620. 1630. 1640. 1650. 1660. 1670. 1680. 1690.]
 [1700. 1710. 1720. 1730. 1740. 1750. 1760. 1770. 1780. 1790.]
 [1800. 1810. 1820. 1830. 1840. 1850. 1860. 1870. 1880. 1890.]
 [1900. 1910. 1920. 1930. 1940. 1950. 1960. 1970. 1980. 1990.]]


#Q31
(10 * np.arange(1, 11)**2).reshape((2, -1))

array([[  10,   40,   90,  160,  250],
       [ 360,  490,  640,  810, 1000]])


e[0,0]

1100.0


e[0,0] = 999
print(e)

[[ 999. 1110. 1120. 1130. 1140. 1150. 1160. 1170. 1180. 1190.]
 [1200. 1210. 1220. 1230. 1240. 1250. 1260. 1270. 1280. 1290.]
 [1300. 1310. 1320. 1330. 1340. 1350. 1360. 1370. 1380. 1390.]
 [1400. 1410. 1420. 1430. 1440. 1450. 1460. 1470. 1480. 1490.]
 [1500. 1510. 1520. 1530. 1540. 1550. 1560. 1570. 1580. 1590.]
 [1600. 1610. 1620. 1630. 1640. 1650. 1660. 1670. 1680. 1690.]
 [1700. 1710. 1720. 1730. 1740. 1750. 1760. 1770. 1780. 1790.]
 [1800. 1810. 1820. 1830. 1840. 1850. 1860. 1870. 1880. 1890.]
 [1900. 1910. 1920. 1930. 1940. 1950. 1960. 1970. 1980. 1990.]]


e[1,0]

1200.0


e[1,0] = 999


#q36
e[2,0]

1300.0


e[6,0]

1700.0


e[3,-1]

1490.0


e[3,-1] = 999


#q40
e[3,-3]

1470.0


e[3,-3] = 999


e[-1,-2]

1980.0


e[-1,-2] = 999


print(e)

[[ 999. 1110. 1120. 1130. 1140. 1150. 1160. 1170. 1180. 1190.]
 [ 999. 1210. 1220. 1230. 1240. 1250. 1260. 1270. 1280. 1290.]
 [1300. 1310. 1320. 1330. 1340. 1350. 1360. 1370. 1380. 1390.]
 [1400. 1410. 1420. 1430. 1440. 1450. 1460.  999. 1480.  999.]
 [1500. 1510. 1520. 1530. 1540. 1550. 1560. 1570. 1580. 1590.]
 [1600. 1610. 1620. 1630. 1640. 1650. 1660. 1670. 1680. 1690.]
 [1700. 1710. 1720. 1730. 1740. 1750. 1760. 1770. 1780. 1790.]
 [1800. 1810. 1820. 1830. 1840. 1850. 1860. 1870. 1880. 1890.]
 [1900. 1910. 1920. 1930. 1940. 1950. 1960. 1970.  999. 1990.]]


e[:,0]

array([ 999.,  999., 1300., 1400., 1500., 1600., 1700., 1800., 1900.])


e[:,0] = 888
print(e)

[[ 888. 1110. 1120. 1130. 1140. 1150. 1160. 1170. 1180. 1190.]
 [ 888. 1210. 1220. 1230. 1240. 1250. 1260. 1270. 1280. 1290.]
 [ 888. 1310. 1320. 1330. 1340. 1350. 1360. 1370. 1380. 1390.]
 [ 888. 1410. 1420. 1430. 1440. 1450. 1460.  999. 1480.  999.]
 [ 888. 1510. 1520. 1530. 1540. 1550. 1560. 1570. 1580. 1590.]
 [ 888. 1610. 1620. 1630. 1640. 1650. 1660. 1670. 1680. 1690.]
 [ 888. 1710. 1720. 1730. 1740. 1750. 1760. 1770. 1780. 1790.]
 [ 888. 1810. 1820. 1830. 1840. 1850. 1860. 1870. 1880. 1890.]
 [ 888. 1910. 1920. 1930. 1940. 1950. 1960. 1970.  999. 1990.]]


#q46
e[:,1]

array([1110., 1210., 1310., 1410., 1510., 1610., 1710., 1810., 1910.])


e[:,1] = 777
print(e)

[[ 888.  777. 1120. 1130. 1140. 1150. 1160. 1170. 1180. 1190.]
 [ 888.  777. 1220. 1230. 1240. 1250. 1260. 1270. 1280. 1290.]
 [ 888.  777. 1320. 1330. 1340. 1350. 1360. 1370. 1380. 1390.]
 [ 888.  777. 1420. 1430. 1440. 1450. 1460.  999. 1480.  999.]
 [ 888.  777. 1520. 1530. 1540. 1550. 1560. 1570. 1580. 1590.]
 [ 888.  777. 1620. 1630. 1640. 1650. 1660. 1670. 1680. 1690.]
 [ 888.  777. 1720. 1730. 1740. 1750. 1760. 1770. 1780. 1790.]
 [ 888.  777. 1820. 1830. 1840. 1850. 1860. 1870. 1880. 1890.]
 [ 888.  777. 1920. 1930. 1940. 1950. 1960. 1970.  999. 1990.]]


e[:,1] = np.arange(1, 10)
print(e[:, :-2]) # afficher une partie du tableau pour éviter les retours à la ligne

[[8.88e+02 1.00e+00 1.12e+03 1.13e+03 1.14e+03 1.15e+03 1.16e+03 1.17e+03]
 [8.88e+02 2.00e+00 1.22e+03 1.23e+03 1.24e+03 1.25e+03 1.26e+03 1.27e+03]
 [8.88e+02 3.00e+00 1.32e+03 1.33e+03 1.34e+03 1.35e+03 1.36e+03 1.37e+03]
 [8.88e+02 4.00e+00 1.42e+03 1.43e+03 1.44e+03 1.45e+03 1.46e+03 9.99e+02]
 [8.88e+02 5.00e+00 1.52e+03 1.53e+03 1.54e+03 1.55e+03 1.56e+03 1.57e+03]
 [8.88e+02 6.00e+00 1.62e+03 1.63e+03 1.64e+03 1.65e+03 1.66e+03 1.67e+03]
 [8.88e+02 7.00e+00 1.72e+03 1.73e+03 1.74e+03 1.75e+03 1.76e+03 1.77e+03]
 [8.88e+02 8.00e+00 1.82e+03 1.83e+03 1.84e+03 1.85e+03 1.86e+03 1.87e+03]
 [8.88e+02 9.00e+00 1.92e+03 1.93e+03 1.94e+03 1.95e+03 1.96e+03 1.97e+03]]


#q49
e[:,6]

array([1160., 1260., 1360., 1460., 1560., 1660., 1760., 1860., 1960.])


e[6,:]

array([ 888.,    7., 1720., 1730., 1740., 1750., 1760., 1770., 1780.,
       1790.])


e[1,4:8]

array([1240., 1250., 1260., 1270.])


#q52
e[1,4:8] = 999


e[1,4:8] = np.arange(24, 28)


#q54
e[1,4:8] = [10, 100, 1000, 1000]
e[1,4:8] = np.array([10, 100, 1000, 1000])
# si on voulait 10 100 1000 10000 (10k à la fin)
e[1,4:8] = 10 ** np.arange(1, 5)
print(e[1,4:8])

[   10.   100.  1000. 10000.]


e[1,4:8] = e[2,4:8]
print(e[:, :-2]) # afficher une partie du tableau pour éviter les retours à la ligne

[[8.88e+02 1.00e+00 1.12e+03 1.13e+03 1.14e+03 1.15e+03 1.16e+03 1.17e+03]
 [8.88e+02 2.00e+00 1.22e+03 1.23e+03 1.34e+03 1.35e+03 1.36e+03 1.37e+03]
 [8.88e+02 3.00e+00 1.32e+03 1.33e+03 1.34e+03 1.35e+03 1.36e+03 1.37e+03]
 [8.88e+02 4.00e+00 1.42e+03 1.43e+03 1.44e+03 1.45e+03 1.46e+03 9.99e+02]
 [8.88e+02 5.00e+00 1.52e+03 1.53e+03 1.54e+03 1.55e+03 1.56e+03 1.57e+03]
 [8.88e+02 6.00e+00 1.62e+03 1.63e+03 1.64e+03 1.65e+03 1.66e+03 1.67e+03]
 [8.88e+02 7.00e+00 1.72e+03 1.73e+03 1.74e+03 1.75e+03 1.76e+03 1.77e+03]
 [8.88e+02 8.00e+00 1.82e+03 1.83e+03 1.84e+03 1.85e+03 1.86e+03 1.87e+03]
 [8.88e+02 9.00e+00 1.92e+03 1.93e+03 1.94e+03 1.95e+03 1.96e+03 1.97e+03]]


#q56
e[1,4:8] = e[1,4:8]**2


#q57
e[1,0:4]
e[1,:4]

array([ 888.,    2., 1220., 1230.])


e[1, -4: ]
e[1,-4:]

array([1.8496e+06, 1.8769e+06, 1.2800e+03, 1.2900e+03])


e[-1,-4:]

array([1960., 1970.,  999., 1990.])


#q60
e[-1,-4:] = e[-1,-4:]**2


#q61
e[  : : 2     ,     3  ]
e[::2,3]

array([1130., 1330., 1530., 1730., 1930.])


e[::2,3] = 999


#q63
e[::2,3] = np.arange(5)
#
nb_lignes = e.shape[0]
N = (nb_lignes + 1) // 2
e[::2,3] = np.arange(N)
#
N = e[::2, 3].shape[0]
e[::2,3] = np.arange(N)


e[  ::-2  ,  3  ]

array([4., 3., 2., 1., 0.])


# pas ok, on commence à l'indice 0 puis on s'arrête car on va dans le négatif
# ... e[0::-2,3]


#q65
e[  ::2  ,  3:-2    ]
e[::2,3:-2]

array([[0.0000e+00, 1.1400e+03, 1.1500e+03, 1.1600e+03, 1.1700e+03],
       [1.0000e+00, 1.3400e+03, 1.3500e+03, 1.3600e+03, 1.3700e+03],
       [2.0000e+00, 1.5400e+03, 1.5500e+03, 1.5600e+03, 1.5700e+03],
       [3.0000e+00, 1.7400e+03, 1.7500e+03, 1.7600e+03, 1.7700e+03],
       [4.0000e+00, 1.9400e+03, 1.9500e+03, 3.8416e+06, 3.8809e+06]])


e[::2,3:-2] = 999


e[::2,3:-2] = np.arange(e[::2,3:-2].shape[0])
#
N = e[::2,3:-2].shape[0]
e[::2,3:-2] = np.arange(N)


#q68
e[ ::2  ,  3:6 ]
e[::2,3:6]

array([[0., 1., 2.],
       [0., 1., 2.],
       [0., 1., 2.],
       [0., 1., 2.],
       [0., 1., 2.]])


e[::2,3:]

array([[0.00000e+00, 1.00000e+00, 2.00000e+00, 3.00000e+00, 4.00000e+00,
        1.18000e+03, 1.19000e+03],
       [0.00000e+00, 1.00000e+00, 2.00000e+00, 3.00000e+00, 4.00000e+00,
        1.38000e+03, 1.39000e+03],
       [0.00000e+00, 1.00000e+00, 2.00000e+00, 3.00000e+00, 4.00000e+00,
        1.58000e+03, 1.59000e+03],
       [0.00000e+00, 1.00000e+00, 2.00000e+00, 3.00000e+00, 4.00000e+00,
        1.78000e+03, 1.79000e+03],
       [0.00000e+00, 1.00000e+00, 2.00000e+00, 3.00000e+00, 4.00000e+00,
        9.98001e+05, 3.96010e+06]])


e[::2,3:-2]

array([[0., 1., 2., 3., 4.],
       [0., 1., 2., 3., 4.],
       [0., 1., 2., 3., 4.],
       [0., 1., 2., 3., 4.],
       [0., 1., 2., 3., 4.]])


#q71
e[    3::2    ,   3:   ]
e[3::2,3:]

array([[1430., 1440., 1450., 1460.,  999., 1480.,  999.],
       [1630., 1640., 1650., 1660., 1670., 1680., 1690.],
       [1830., 1840., 1850., 1860., 1870., 1880., 1890.]])

exercice 4¶

exercice 5¶