In [1]:
%matplotlib inline
from matplotlib import pyplot as plt
import seaborn as sns
In [2]:
import antipackage
from github.ellisonbg.misc import vizarry as va
In [3]:
import numpy as np
data = [0,2,4,6]
a=np.array(data)
In [4]:
type(a)
Out[4]:
In [5]:
a
Out[5]:
In [6]:
a.shape
Out[6]:
In [7]:
a.size
Out[7]:
In [8]:
a.nbytes
Out[8]:
In [9]:
a.dtype
Out[9]:
In [10]:
data = [[0.0,2.0,4.0,6.0],[1.0,3.0,5.0,7.0]]
b=np.array(data)
In [11]:
b
Out[11]:
In [12]:
b.shape, b.ndim, b.size, b.nbytes
Out[12]:
In [15]:
c = np.arange(0.0, 10.0, 1.0)
c
Out[15]:
In [16]:
e=np.linspace(0.0,5.0,11)
e
Out[16]:
In [18]:
np.empty((4,4))
Out[18]:
In [19]:
np.zeros((3,3))
Out[19]:
In [20]:
np.ones((3,3))
Out[20]:
In [21]:
a=np.array([0,1,2,3])
In [22]:
a, a.dtype
Out[22]:
In [26]:
b = np.zeros((2,2), dtype=np.complex64)
b
Out[26]:
In [27]:
c = np.arange(0,10,2, dtype=np.float)
c
Out[27]:
In [28]:
d=c.astype(dtype=np.int)
In [29]:
d
Out[29]:
In [30]:
np.float?
In [31]:
a = np.empty((3,3))
a.fill(0.1)
a
Out[31]:
In [32]:
b=np.ones((3,3))
b
Out[32]:
In [33]:
b/a
Out[33]:
In [34]:
a**2
Out[34]:
In [35]:
np.pi*b
Out[35]:
In [36]:
a=np.random.rand(10,10)
In [37]:
a
Out[37]:
In [38]:
a[0,0]
Out[38]:
In [40]:
a[-1,-1]==a[9,9]
Out[40]:
In [41]:
a[:,0]
Out[41]:
In [42]:
a[-1,:]
Out[42]:
In [43]:
a[0:5,0:5]=1.0
a
Out[43]:
In [ ]: