-
Notifications
You must be signed in to change notification settings - Fork 0
/
MARKET_ANALYZER.py
66 lines (50 loc) · 1.6 KB
/
MARKET_ANALYZER.py
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
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 21 22:15:55 2020
@author: alexx
"""
import csv
import tkinter
import numpy as np
import pandas as pd
def openGBPJPYSp():
with open("GBP_JPY Historical Data.csv") as csv_file:
csv_reader = csv.reader(csv_file, delimiter = ",")
line_count = 0
for row in csv_reader:
if line_count == 0:
print(f'{", ".join(row)}')
line_count += 1
else:
print (f'\t{row[0]} {row[1]} {row[2]}, {row[3]}, {row[4]}, {row[5]}')
line_count += 1
print(f'Processed {line_count} lines of data')
def openGBPJPYPd():
with open("GBP_JPY Historical Data.csv") as csv_file:
gbpjpy_ten_years = pd.read_csv(csv_file)
print(gbpjpy_ten_years)
def readGBPJPY():
with open("GBP_JPY Historical Data.csv") as csv_file:
gbpjpy_ten_years = pd.read_csv(csv_file)
print(gbpjpy_ten_years)
return gbpjpy_ten_years
def storeDataGBPJPY():
index = 0
pair_file = readGBPJPY()
for row in pair_file:
percentage = row[5]
storeGBPJPY_per = len(pair_file)
storeGBPJPY_per[percentage]
return storeGBPJPY_per
def printResultsFromGBPJPY():
print("Using simple CSV interpreter: \n")
openGBPJPYSp()
print("Using the pandas CSV interpreter: \n")
openGBPJPYPd()
def main():
index = 0
data_file_gbpjpy = storeDataGBPJPY()
for elem in data_file_gbpjpy:
print ("day {index}: {elem}")
if __name__ == "__main__":
main()