2020-10-19 21:08:55

This commit is contained in:
wizardforcel
2020-10-19 21:08:55 +08:00
parent 7f63048035
commit ab0caba1f0
140 changed files with 3982 additions and 3982 deletions

View File

@@ -2,12 +2,12 @@
In [1]:
```
```py
%pylab
```
```
```py
Using matplotlib backend: Qt4Agg
Populating the interactive namespace from numpy and matplotlib
@@ -17,7 +17,7 @@ Populating the interactive namespace from numpy and matplotlib
In [2]:
```
```py
a = array([[1,2,3],
[4,5,6]])
@@ -27,14 +27,14 @@ a = array([[1,2,3],
In [3]:
```
```py
sum(a)
```
Out[3]:
```
```py
21
```
@@ -44,14 +44,14 @@ Out[3]:
In [4]:
```
```py
sum(a, axis=0)
```
Out[4]:
```
```py
array([5, 7, 9])
```
@@ -59,14 +59,14 @@ array([5, 7, 9])
In [5]:
```
```py
sum(a, axis=1)
```
Out[5]:
```
```py
array([ 6, 15])
```
@@ -74,14 +74,14 @@ array([ 6, 15])
In [6]:
```
```py
sum(a, axis=-1)
```
Out[6]:
```
```py
array([ 6, 15])
```
@@ -89,40 +89,40 @@ array([ 6, 15])
In [7]:
```
```py
a.sum()
```
Out[7]:
```
```py
21
```
In [8]:
```
```py
a.sum(axis=0)
```
Out[8]:
```
```py
array([5, 7, 9])
```
In [9]:
```
```py
a.sum(axis=-1)
```
Out[9]:
```
```py
array([ 6, 15])
```
@@ -132,14 +132,14 @@ array([ 6, 15])
In [10]:
```
```py
a.prod()
```
Out[10]:
```
```py
720
```
@@ -147,14 +147,14 @@ Out[10]:
In [11]:
```
```py
prod(a, axis=0)
```
Out[11]:
```
```py
array([ 4, 10, 18])
```
@@ -162,7 +162,7 @@ array([ 4, 10, 18])
In [12]:
```
```py
from numpy.random import rand
a = rand(3, 4)
%precision 3
@@ -172,7 +172,7 @@ a
Out[12]:
```
```py
array([[ 0.444, 0.06 , 0.668, 0.02 ],
[ 0.793, 0.302, 0.81 , 0.381],
[ 0.296, 0.182, 0.345, 0.686]])
@@ -182,14 +182,14 @@ array([[ 0.444, 0.06 , 0.668, 0.02 ],
In [13]:
```
```py
a.min()
```
Out[13]:
```
```py
0.020
```
@@ -197,14 +197,14 @@ Out[13]:
In [14]:
```
```py
a.min(axis=0)
```
Out[14]:
```
```py
array([ 0.296, 0.06 , 0.345, 0.02 ])
```
@@ -212,14 +212,14 @@ array([ 0.296, 0.06 , 0.345, 0.02 ])
In [15]:
```
```py
a.max()
```
Out[15]:
```
```py
0.810
```
@@ -227,14 +227,14 @@ Out[15]:
In [16]:
```
```py
a.max(axis=-1)
```
Out[16]:
```
```py
array([ 0.668, 0.81 , 0.686])
```
@@ -244,27 +244,27 @@ array([ 0.668, 0.81 , 0.686])
In [17]:
```
```py
a.argmin()
```
Out[17]:
```
```py
3
```
In [18]:
```
```py
a.argmin(axis=0)
```
Out[18]:
```
```py
array([2, 0, 2, 0], dtype=int64)
```
@@ -274,34 +274,34 @@ array([2, 0, 2, 0], dtype=int64)
In [19]:
```
```py
a = array([[1,2,3],[4,5,6]])
```
In [20]:
```
```py
a.mean()
```
Out[20]:
```
```py
3.500
```
In [21]:
```
```py
a.mean(axis=-1)
```
Out[21]:
```
```py
array([ 2., 5.])
```
@@ -309,14 +309,14 @@ array([ 2., 5.])
In [22]:
```
```py
mean(a)
```
Out[22]:
```
```py
3.500
```
@@ -324,14 +324,14 @@ Out[22]:
In [23]:
```
```py
average(a, axis = 0)
```
Out[23]:
```
```py
array([ 2.5, 3.5, 4.5])
```
@@ -339,14 +339,14 @@ array([ 2.5, 3.5, 4.5])
In [24]:
```
```py
average(a, axis = 0, weights=[1,2])
```
Out[24]:
```
```py
array([ 3., 4., 5.])
```
@@ -356,14 +356,14 @@ array([ 3., 4., 5.])
In [25]:
```
```py
a.std(axis=1)
```
Out[25]:
```
```py
array([ 0.816, 0.816])
```
@@ -371,14 +371,14 @@ array([ 0.816, 0.816])
In [26]:
```
```py
a.var(axis=1)
```
Out[26]:
```
```py
array([ 0.667, 0.667])
```
@@ -386,27 +386,27 @@ array([ 0.667, 0.667])
In [27]:
```
```py
var(a, axis=1)
```
Out[27]:
```
```py
array([ 0.667, 0.667])
```
In [28]:
```
```py
std(a, axis=1)
```
Out[28]:
```
```py
array([ 0.816, 0.816])
```
@@ -416,28 +416,28 @@ array([ 0.816, 0.816])
In [29]:
```
```py
a
```
Out[29]:
```
```py
array([[1, 2, 3],
[4, 5, 6]])
```
In [30]:
```
```py
a.clip(3,5)
```
Out[30]:
```
```py
array([[3, 3, 3],
[4, 5, 5]])
```
@@ -450,27 +450,27 @@ array([[3, 3, 3],
In [31]:
```
```py
a.ptp(axis=1)
```
Out[31]:
```
```py
array([2, 2])
```
In [32]:
```
```py
a.ptp()
```
Out[32]:
```
```py
5
```
@@ -480,7 +480,7 @@ Out[32]:
In [33]:
```
```py
a = array([1.35, 2.5, 1.5])
```
@@ -491,14 +491,14 @@ a = array([1.35, 2.5, 1.5])
In [34]:
```
```py
a.round()
```
Out[34]:
```
```py
array([ 1., 2., 2.])
```
@@ -506,13 +506,13 @@ array([ 1., 2., 2.])
In [35]:
```
```py
a.round(decimals=1)
```
Out[35]:
```
```py
array([ 1.4, 2.5, 1.5])
```