data-visualize.py
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import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
from bs4 import BeautifulSoup
import urllib
from urllib import request
import re
import json
from datetime import datetime
import plotly.offline as py
py.init_notebook_mode(connected=True)
import plotly.graph_objs as go
import plotly.tools as tls
import matplotlib.pyplot as plt
from random import shuffle
import random
#Setup
#load dataset
print("start read_csv")
df = pd.read_csv("trendresult.csv")
df = pd.DataFrame(df)
fig, axes = plt.subplots(nrows=3, ncols=2)
#df.plot(title = "Naver Trend - Stock-Daily", figsize = (20, 10), legend = False)
print("start read_csv_1")
df2 = pd.read_csv("finace_285130.csv")
df2 = pd.DataFrame(df2)
print(df2)
df["SK케미칼"].plot(title = "SK-chemical", figsize = (20,10), legend = False,ax=axes[0,0])
print(df["SK케미칼"])
df2.plot(title = "SK-chemical - Stock-Daily", figsize = (20, 10), legend = False,ax=axes[0,1])
df3 = pd.read_csv("finace_307070.csv")
df3 = pd.DataFrame(df3)
df["삼성머스트스팩3호"].plot(title = "삼성머스트스팩3호", figsize = (20,10), legend = False,ax=axes[1,0])
print(df3)
print(df["삼성머스트스팩3호"])
df3.plot(title = "SK hos - Stock-Daily", figsize = (20, 10), legend = False,ax=axes[1,1])
df4 = pd.read_csv("finace_309930.csv")
df4 = pd.DataFrame(df4)
df["SK4호스팩"].plot(title = "SK-호스팩", figsize = (20,10), legend = False,ax=axes[2,0])
print(df4)
print(df["SK4호스팩"])
df4.plot(title = "samsung - Stock-Daily", figsize = (20, 10), legend = False,ax=axes[2,1])