iterative
/
causality_for_spaceweather
mirror of https://github.com/DecSnowFlake/causality_for_spaceweather.git


  
1

	
2

	
3

	
4

	
5

	
6

	
7

	
8

	
9

	
10

	
11

	
12

	
13

	
14

	
15

	
16

	
17

	
18

	
19

	
20

	
21

	
22

	
23

	
24

	
25

	
26

	
27

	
28

	
29

	
30

	
31

	
32

	
33

	
34

	
35

	
36

	
37

	
38

	
39

	
40

	
41

	
42

	
43

	
44

	
45

	
46

	
47

	
48

	
49

	
50

	
51

	
52

	
53

	
54

	
55

	
56

	
57

	
58

	
59

	
60

	
61

	
62

	
63

	
64

	
65

	
66

	
67

	
68

	
            #!/usr/bin/env python
# coding: utf-8

# # 基本知识

# In[1]:


get_ipython().run_line_magic('reload_ext', 'autoreload')
get_ipython().run_line_magic('autoreload', '2')
get_ipython().run_line_magic('matplotlib', 'inline')


# In[2]:


import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from pathlib import Path
Path.ls = lambda x:list(x.iterdir())


# In[3]:


import jpype, math, random
import os, sys
from jpype import *


# In[4]:


try :
    jarLocation = "/home/fsf/software/inforDynamics-dist-1.5/infodynamics.jar"
    jpype.startJVM(jpype.getDefaultJVMPath(), "-ea", "-Djava.class.path=" + jarLocation)
except:
    print("JVM  has already started !")


# In[5]:


sys.path.append('../../srcs')


# In[6]:


from jidt.data import example1, example2


# In[7]:


x,y = example2(length=3000,noise_level=[0.1,0.1])


# In[8]:


fig, ax = plt.subplots(1,1,figsize=(8,3))
ax.plot(x,label='x')
ax.plot(y,label='y')
ax.legend()
plt.show()