2020-10-19 21:08:55

docs/da/034.md

@@ -2,12 +2,12 @@
 
 In [1]:
 
-```
+```py
 %pylab
 
 ```
 
-```
+```py
 Using matplotlib backend: Qt4Agg
 Populating the interactive namespace from numpy and matplotlib
 
@@ -19,7 +19,7 @@ Populating the interactive namespace from numpy and matplotlib
 
 In [2]:
 
-```
+```py
 names = array(['bob', 'sue', 'jan', 'ad'])
 weights = array([20.8, 93.2, 53.4, 61.8])
 
@@ -29,7 +29,7 @@ sort(weights)
 
 Out[2]:
 
-```
+```py
 array([ 20.8,  53.4,  61.8,  93.2])
 ```
 
@@ -41,7 +41,7 @@ array([ 20.8,  53.4,  61.8,  93.2])
 
 In [3]:
 
-```
+```py
 ordered_indices = argsort(weights)
 ordered_indices
 
@@ -49,7 +49,7 @@ ordered_indices
 
 Out[3]:
 
-```
+```py
 array([0, 2, 3, 1], dtype=int64)
 ```
 
@@ -57,27 +57,27 @@ array([0, 2, 3, 1], dtype=int64)
 
 In [4]:
 
-```
+```py
 weights[ordered_indices]
 
 ```
 
 Out[4]:
 
-```
+```py
 array([ 20.8,  53.4,  61.8,  93.2])
 ```
 
 In [5]:
 
-```
+```py
 names[ordered_indices]
 
 ```
 
 Out[5]:
 
-```
+```py
 array(['bob', 'jan', 'ad', 'sue'], 
       dtype='|S3')
 ```
@@ -86,14 +86,14 @@ array(['bob', 'jan', 'ad', 'sue'],
 
 In [6]:
 
-```
+```py
 weights
 
 ```
 
 Out[6]:
 
-```
+```py
 array([ 20.8,  93.2,  53.4,  61.8])
 ```
 
@@ -103,7 +103,7 @@ array([ 20.8,  93.2,  53.4,  61.8])
 
 In [7]:
 
-```
+```py
 data = array([20.8,  93.2,  53.4,  61.8])
 data.argsort()
 
@@ -111,7 +111,7 @@ data.argsort()
 
 Out[7]:
 
-```
+```py
 array([0, 2, 3, 1], dtype=int64)
 ```
 
@@ -119,14 +119,14 @@ array([0, 2, 3, 1], dtype=int64)
 
 In [8]:
 
-```
+```py
 data
 
 ```
 
 Out[8]:
 
-```
+```py
 array([ 20.8,  93.2,  53.4,  61.8])
 ```
 
@@ -134,21 +134,21 @@ array([ 20.8,  93.2,  53.4,  61.8])
 
 In [9]:
 
-```
+```py
 data.sort()
 
 ```
 
 In [10]:
 
-```
+```py
 data
 
 ```
 
 Out[10]:
 
-```
+```py
 array([ 20.8,  53.4,  61.8,  93.2])
 ```
 
@@ -158,7 +158,7 @@ array([ 20.8,  53.4,  61.8,  93.2])
 
 In [11]:
 
-```
+```py
 a = array([
         [.2, .1, .5], 
         [.4, .8, .3],
@@ -170,7 +170,7 @@ a
 
 Out[11]:
 
-```
+```py
 array([[ 0.2,  0.1,  0.5],
        [ 0.4,  0.8,  0.3],
        [ 0.9,  0.6,  0.7]])
@@ -180,14 +180,14 @@ array([[ 0.2,  0.1,  0.5],
 
 In [12]:
 
-```
+```py
 sort(a)
 
 ```
 
 Out[12]:
 
-```
+```py
 array([[ 0.1,  0.2,  0.5],
        [ 0.3,  0.4,  0.8],
        [ 0.6,  0.7,  0.9]])
@@ -197,14 +197,14 @@ array([[ 0.1,  0.2,  0.5],
 
 In [13]:
 
-```
+```py
 sort(a, axis = 0)
 
 ```
 
 Out[13]:
 
-```
+```py
 array([[ 0.2,  0.1,  0.3],
        [ 0.4,  0.6,  0.5],
        [ 0.9,  0.8,  0.7]])
@@ -212,7 +212,7 @@ array([[ 0.2,  0.1,  0.3],
 
 ## searchsorted 函数
 
-```
+```py
 searchsorted(sorted_array, values) 
 ```
 
@@ -220,7 +220,7 @@ searchsorted(sorted_array, values)
 
 In [14]:
 
-```
+```py
 sorted_array = linspace(0,1,5)
 values = array([.1,.8,.3,.12,.5,.25])
 
@@ -228,14 +228,14 @@ values = array([.1,.8,.3,.12,.5,.25])
 
 In [15]:
 
-```
+```py
 searchsorted(sorted_array, values)
 
 ```
 
 Out[15]:
 
-```
+```py
 array([1, 4, 2, 1, 2, 1], dtype=int64)
 ```
 
@@ -257,7 +257,7 @@ array([1, 4, 2, 1, 2, 1], dtype=int64)
 
 In [16]:
 
-```
+```py
 from numpy.random import rand
 data = rand(100)
 data.sort()
@@ -268,7 +268,7 @@ data.sort()
 
 In [17]:
 
-```
+```py
 bounds = .4, .6
 bounds
 
@@ -276,7 +276,7 @@ bounds
 
 Out[17]:
 
-```
+```py
 (0.4, 0.6)
 ```
 
@@ -284,7 +284,7 @@ Out[17]:
 
 In [18]:
 
-```
+```py
 low_idx, high_idx = searchsorted(data, bounds)
 
 ```
@@ -293,14 +293,14 @@ low_idx, high_idx = searchsorted(data, bounds)
 
 In [19]:
 
-```
+```py
 data[low_idx:high_idx]
 
 ```
 
 Out[19]:
 
-```
+```py
 array([ 0.41122674,  0.4395727 ,  0.45609773,  0.45707137,  0.45772076,
         0.46029997,  0.46757401,  0.47525517,  0.4969198 ,  0.53068779,
         0.55764166,  0.56288568,  0.56506548,  0.57003042,  0.58035233,