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Code: Alles auswählen

# -*- coding: utf-8 -*-
"""
Spyder Editor

This is a temporary script file.
"""

#from config.txt import polo_key, polo_secret

import requests, json
import numpy as np

import matplotlib.pyplot as plt






def public_method(command): #holt die daten aus Poloniex. Typ dict
                            #Variablen für Funktion:
                            #returnLoanOrders&currency=LTC -> gibt daten von Verleiverlauf für LTC
                            
    url = 'https://poloniex.com/public?command={0}'.format(command)
    api = requests.get(url)
    data = json.loads(api.text)#json-Format in python-dict konvertieren
    
    return data




Date_Lean_LTC = public_method('returnLoanOrders&currency=LTC')# Verlei-Daten aus Poloniex rausholen
    

first_key = list(Date_Lean_LTC)[0]
#print(first_key)
first_list = Date_Lean_LTC[first_key]
#print(first_list)
#print(first_list[0]['rate'])


a_rate = []
a_amount = []
a_rangeMin = []
a_rangeMax = []

for second_dict in first_list:
    #print(second_dict)
    print(second_dict['rate'], second_dict['amount'], second_dict['rangeMin'], second_dict['rangeMax'])
    
    a_rate = np.append(a_rate, second_dict['rate'])
    a_amount = np.append(a_amount, second_dict['amount'])
    a_rangeMin = np.append(a_rangeMin, second_dict['rangeMin'])
    a_rangeMax = np.append(a_rangeMax, second_dict['rangeMax'])



x = a_rate.astype(float)
y = a_amount.astype(float)



fig = plt.figure()
ax1 = fig.add_subplot(1,1,1)
#ax1.plot(x,y)

ax1.bar(x,y)


plt.show()

Code: Alles auswählen

# -*- coding: utf-8 -*-
import requests
import numpy as np
import matplotlib.pyplot as plt

URL = 'https://poloniex.com/public'

def public_method(**params):
    """
    holt die daten aus Poloniex. Typ dict
    Variablen für Funktion:
      command='returnLoanOrders', currency='LTC' -> gibt daten von Verleiverlauf für LTC
    """
    result = requests.get(URL, params=params)
    return result.json()

# Verlei-Daten aus Poloniex rausholen
date_lean_ltc = public_method(command='returnLoanOrders', currency='LTC')
offers = date_lean_ltc['offers']

rate = []
amount = []
range_min = []
range_max = []

for offer in offers:
    print(offer)
    rate.append(offer['rate'])
    amount.append(offer['amount'])
    range_min.append(offer['rangeMin'])
    range_max.append(offer['rangeMax'])

rate = np.array(rate, dtype=float)
amount = np.array(amount, dtype=float)
range_min = np.array(range_min, dtype=float)
range_max = np.array(range_max, dtype=float)

fig = plt.figure()
ax1 = fig.add_subplot(1,1,1)
#ax1.plot(rate, amount)
ax1.bar(rate, amount)
plt.show()