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create_csv.py
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create_csv.py
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import urllib.request, urllib.parse, json, os, csv, datetime, re
def create_csv_file(path_graph, path_high_lows, csv_path):
f = open(path_graph, 'r')
data = f.read()
#make a list with values from the .json file
graph_data = data.split(']]')
#order data
for i in range(4):
if 'price_usd' in graph_data[i][:15]:
usd_data = graph_data[i].replace(':', '').replace('"', '').replace(']', '').replace('[', '').replace('price_usd', '')
if 'cap' in graph_data[i][:15]:
market_cap_data = graph_data[i].replace(':', '').replace('"', '').replace(']', '').replace('[', '').replace('market_cap_by_available_supply', '')
if 'btc' in graph_data[i][:15]:
price_btc_data = graph_data[i].replace(':', '').replace('"', '').replace(']', '').replace('[', '').replace('price_btc', '')
if 'volume' in graph_data[i][:15]:
volume_usd_data = graph_data[i].replace(':', '').replace('"', '').replace(']', '').replace('[', '').replace('volume_usd', '')
market_cap_data = market_cap_data[1:]
usd_data = usd_data[1:]
price_btc_data = price_btc_data[1:]
volume_usd_data = volume_usd_data[1:]
#make a list with all the days that there are values from
days = usd_data.replace(' ', '')
days = days.split(',')
days = int(len(days)/2 + 1)
days = list(range(1,days))
#make a list with all the usd values
values = usd_data.replace(' ', '')
values = values.split(',')
usdvalues = []
i = 0
for x in values:
if i == 0:
i += 1
continue
if i == 1:
usdvalues.append(x)
i = 0
continue
#make a list with market_cap_data
values = market_cap_data.replace(' ', '')
values = values.split(',')
marketvalues = []
i = 0
for x in values:
if i == 0:
i += 1
continue
if i == 1:
marketvalues.append(x)
i = 0
continue
#make a list with price_btc_data
values = price_btc_data.replace(' ', '')
values = values.split(',')
btcvalues = []
i = 0
for x in values:
if i == 0:
i += 1
continue
if i == 1:
btcvalues.append(x)
i = 0
continue
#make a list with volume_usd_data
values = volume_usd_data.replace(' ', '')
values = values.split(',')
marketvolume = []
i = 0
for x in values:
if i == 0:
i += 1
continue
if i == 1:
marketvolume.append(x)
i = 0
continue
#Add high and lows
f = open(path_high_lows, 'r')
tds = f.read()
tds = tds.split()
#filter tds
heighs = []
lows = []
i = 0
for td in tds:
if i==5:
i = 0
else:
if i == 1:
td = td.replace(",",'').replace("'",'')
td = round(float(td), 2)
heighs.append(td)
if i == 2:
td = td.replace(",",'').replace("'",'')
td = round(float(td), 2)
lows.append(td)
i += 1
heighs = list(reversed(heighs))
lows = list(reversed(lows))
#create csv itself
csv_name = csv_path + '.csv'
with open(csv_name, 'w') as myfile:
wr = csv.writer(myfile, quoting=csv.QUOTE_ALL, lineterminator = '\n')
wr.writerow(['Day', 'Usd', 'Market_Cap', 'Btc', 'Volume', 'Heighs', 'Lows'])
for day in days:
wr.writerow([days[day-1], usdvalues[day-1], marketvalues[day-1], btcvalues[day-1], marketvolume[day-1], heighs[day-1], lows[day-1]])
f.close()
def download_and_update_file(graph_link, high_lows_link, csv_path, folder, graph_file_name, high_lows_name):
#download graph file
with urllib.request.urlopen(graph_link) as url:
data = json.loads(url.read().decode())
#save graph file
with open(folder+graph_file_name, 'w') as outfile:
json.dump(data, outfile)
#download page
page = urllib.request.urlopen(high_lows_link)
page = page.read()
#find tds
tds = re.findall(r'<td>(.*?)</td>', str(page))
tds = str(tds)
#save high_lows file
with open(folder+high_lows_name, 'w') as outfile:
outfile.write(tds)
#create csv file
create_csv_file(folder+graph_file_name, folder+high_lows_name, csv_path)
#run above code
today = str(datetime.date.today())
today = today.replace('-', '')
high_lows_link = 'https://coinmarketcap.com/currencies/ethereum/historical-data/?start=20130428&end=' + today
graph_data_link = 'https://graphs2.coinmarketcap.com/currencies/ethereum/'
#safe_folder = 'F:/python projects/ethereum predictor/V1/data/value per day/'
safe_folder = os.path.dirname(__file__) + '/data/'
graph_data_save_name = 'ethereum.json'
high_lows_save_name = 'high_lows.txt'
csv_path = safe_folder + 'ethereum'
download_and_update_file(graph_data_link, high_lows_link, csv_path, safe_folder, graph_data_save_name, high_lows_save_name)