2020-10-19 21:08:55

docs/da/029.md

@@ -10,14 +10,14 @@
 
 In [1]:
 
-```
+```py
 from numpy import *
 
 ```
 
 使用前一定要先导入 Numpy 包，导入的方法有以下几种：
 
-```
+```py
 import numpy
     import numpy as np
     from numpy import *
@@ -29,12 +29,12 @@ import numpy
 
 In [2]:
 
-```
+```py
 %pylab
 
 ```
 
-```
+```py
 Using matplotlib backend: Qt4Agg
 Populating the interactive namespace from numpy and matplotlib
 
@@ -46,13 +46,13 @@ Populating the interactive namespace from numpy and matplotlib
 
 In [3]:
 
-```
+```py
 a = [1, 2, 3, 4]
 a + 1
 
 ```
 
-```
+```py
 ---------------------------------------------------------------------------
 TypeError                                 Traceback (most recent call last)
 <ipython-input-3-068856d2a224> in <module>()
@@ -66,7 +66,7 @@ TypeError: can only concatenate list (not "int") to list
 
 In [4]:
 
-```
+```py
 a = array(a)
 a
 
@@ -74,7 +74,7 @@ a
 
 Out[4]:
 
-```
+```py
 array([1, 2, 3, 4])
 ```
 
@@ -82,14 +82,14 @@ array([1, 2, 3, 4])
 
 In [5]:
 
-```
+```py
 a + 1
 
 ```
 
 Out[5]:
 
-```
+```py
 array([2, 3, 4, 5])
 ```
 
@@ -97,7 +97,7 @@ array([2, 3, 4, 5])
 
 In [6]:
 
-```
+```py
 b = array([2, 3, 4, 5])
 a + b
 
@@ -105,7 +105,7 @@ a + b
 
 Out[6]:
 
-```
+```py
 array([3, 5, 7, 9])
 ```
 
@@ -113,14 +113,14 @@ array([3, 5, 7, 9])
 
 In [7]:
 
-```
+```py
 a * b
 
 ```
 
 Out[7]:
 
-```
+```py
 array([ 2,  6, 12, 20])
 ```
 
@@ -128,14 +128,14 @@ array([ 2,  6, 12, 20])
 
 In [8]:
 
-```
+```py
 a ** b
 
 ```
 
 Out[8]:
 
-```
+```py
 array([   1,    8,   81, 1024])
 ```
 
@@ -145,14 +145,14 @@ array([   1,    8,   81, 1024])
 
 In [9]:
 
-```
+```py
 a[0]
 
 ```
 
 Out[9]:
 
-```
+```py
 1
 ```
 
@@ -160,14 +160,14 @@ Out[9]:
 
 In [10]:
 
-```
+```py
 a[:2]
 
 ```
 
 Out[10]:
 
-```
+```py
 array([1, 2])
 ```
 
@@ -175,14 +175,14 @@ array([1, 2])
 
 In [11]:
 
-```
+```py
 a[-2:]
 
 ```
 
 Out[11]:
 
-```
+```py
 array([3, 4])
 ```
 
@@ -190,14 +190,14 @@ array([3, 4])
 
 In [12]:
 
-```
+```py
 a[:2] + a[-2:]
 
 ```
 
 Out[12]:
 
-```
+```py
 array([4, 6])
 ```
 
@@ -207,14 +207,14 @@ array([4, 6])
 
 In [13]:
 
-```
+```py
 a.shape
 
 ```
 
 Out[13]:
 
-```
+```py
 (4L,)
 ```
 
@@ -222,7 +222,7 @@ Out[13]:
 
 In [14]:
 
-```
+```py
 a.shape = 2,2
 a
 
@@ -230,7 +230,7 @@ a
 
 Out[14]:
 
-```
+```py
 array([[1, 2],
        [3, 4]])
 ```
@@ -241,14 +241,14 @@ array([[1, 2],
 
 In [15]:
 
-```
+```py
 a + a
 
 ```
 
 Out[15]:
 
-```
+```py
 array([[2, 4],
        [6, 8]])
 ```
@@ -257,14 +257,14 @@ array([[2, 4],
 
 In [16]:
 
-```
+```py
 a * a
 
 ```
 
 Out[16]:
 
-```
+```py
 array([[ 1,  4],
        [ 9, 16]])
 ```
@@ -275,7 +275,7 @@ linspace 用来生成一组等间隔的数据：
 
 In [17]:
 
-```
+```py
 a = linspace(0, 2*pi, 21)
 %precision 3
 a
@@ -284,7 +284,7 @@ a
 
 Out[17]:
 
-```
+```py
 array([ 0\.   ,  0.314,  0.628,  0.942,  1.257,  1.571,  1.885,  2.199,
         2.513,  2.827,  3.142,  3.456,  3.77 ,  4.084,  4.398,  4.712,
         5.027,  5.341,  5.655,  5.969,  6.283])
@@ -294,7 +294,7 @@ array([ 0\.   ,  0.314,  0.628,  0.942,  1.257,  1.571,  1.885,  2.199,
 
 In [18]:
 
-```
+```py
 b = sin(a)
 b
 
@@ -302,7 +302,7 @@ b
 
 Out[18]:
 
-```
+```py
 array([  0.000e+00,   3.090e-01,   5.878e-01,   8.090e-01,   9.511e-01,
          1.000e+00,   9.511e-01,   8.090e-01,   5.878e-01,   3.090e-01,
          1.225e-16,  -3.090e-01,  -5.878e-01,  -8.090e-01,  -9.511e-01,
@@ -314,7 +314,7 @@ array([  0.000e+00,   3.090e-01,   5.878e-01,   8.090e-01,   9.511e-01,
 
 In [19]:
 
-```
+```py
 %matplotlib inline
 plot(a, b)
 
@@ -322,7 +322,7 @@ plot(a, b)
 
 Out[19]:
 
-```
+```py
 [<matplotlib.lines.Line2D at 0xa128ba8>]
 ```
 
@@ -490,14 +490,14 @@ HzC+mVy4trE1AAAAAElFTkSuQmCC
 
 In [20]:
 
-```
+```py
 b >= 0
 
 ```
 
 Out[20]:
 
-```
+```py
 array([ True,  True,  True,  True,  True,  True,  True,  True,  True,
         True,  True, False, False, False, False, False, False, False,
        False, False, False], dtype=bool)
@@ -505,7 +505,7 @@ array([ True,  True,  True,  True,  True,  True,  True,  True,  True,
 
 In [21]:
 
-```
+```py
 mask = b >= 0
 
 ```
@@ -514,14 +514,14 @@ mask = b >= 0
 
 In [22]:
 
-```
+```py
 plot(a[mask], b[mask], 'ro')
 
 ```
 
 Out[22]:
 
-```
+```py
 [<matplotlib.lines.Line2D at 0xa177be0>]
 ```