Пытаясь использовать matplotlib для составления графика данных о динамике цены пара Я пытаюсь получить усредненный график за определенный промежуток времени. Все работает нормально, пока matplotlib не выдаст ошибку при отображении дат.
Мой код:
import requests
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import datetime
from tkinter import *
from tkinter import ttk
import time
from tkinter import messagebox
import configparser
import os
def parseDate(dateString):
month, day, year, hour, tz = dateString.split()
month = ["", "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"].index(month)
day = int(day)
year = int(year)
hour = int(hour[:-1])
return datetime.datetime(year, month, day, hour)
def get_data(id,item):
page = requests.get(f"https://steamcommunity.com/market/listings/{id}/{item}")
#To do: make sure that the response code is 200 etc...
source = page.text
line1Index = source.find("line1=[[")
dataString = source[line1Index + 6: source.find("]]", line1Index) + 2]
data = eval(dataString)
#Convert quantity solds to integers
data = list(map(lambda x : x[:2] + [int(x[-1])], data))
data = list(map(lambda x: [parseDate(x[0])] + x[1:], data))
return (data)
def smooth(data):
newData = []
currDate = data[0][0].date()
totalPrice, numEntries, totalVolume = 0, 0, 0
for quote in data:
if quote[0].date() == currDate:
totalPrice += quote[1]
totalVolume += quote[2]
numEntries += 1
else:
newData += [[currDate, totalPrice / numEntries, totalVolume]]
totalPrice, numEntries, totalVolume = quote[1], 1, quote[2]
currDate = quote[0].date()
newData += [[currDate, totalPrice / numEntries, totalVolume]]
return newData
def getLastXDays(data, days):
today = datetime.datetime.now()
today = datetime.datetime(today.year, today.month, today.day)
startDate = today - datetime.timedelta(days = days)
return list(filter(lambda quote: quote[0] >= startDate, data))
gameIDs = {"CS:GO" : 730, "RUST" : 252490}
def GetGameID(game):
return gameIDs.get(game.upper(), None)
def plot_lastxdays(game,item,days):
data = get_data(game,item)
data=getLastXDays(data,days)
data=smooth(data)
xs = [quote[0] for quote in data]
ys = [quote[1] for quote in data]
plt.plot(xs,ys,)
def plot_lastxdays_quant(game,item,days,divisor) :
data = get_data(game,item)
data=getLastXDays(data,days)
data=smooth(data)
xx = [quote[2] for quote in data]
xs = [x / divisor for x in xx]
ys = [quote[0] for quote in data]
plt.plot(ys,xs,)
def get_many_items():
config = configparser.ConfigParser()
config.read('config.ini')
itemlist = config['Settings']['Items'].split(',')
days = config['Settings']['Days']
days = int(days)
game = config['Settings']['Game']
game = GetGameID(game)
count=0
for item in itemlist:
plot_lastxdays(game, item, days)
count +=1
print(f'Completed : {count} / {len(itemlist)}')
if count == len(itemlist):
print('completed')
plt.title(f'Price in USD over the past {days} days for {itemlist}')
plt.show()
def myFancyAverage(*args):
average = lambda xs: sum(xs) / len(xs)
return list(map(average, zip(*args)))
def plottrend() :
config = configparser.ConfigParser()
config.read('config.ini')
itemlist = config['Settings']['Items'].split(',')
days = config['Settings']['Days']
days = int(days)
game = config['Settings']['Game']
game = GetGameID(game)
count=0
for item in itemlist :
print(f'Complete {count} of {len(itemlist)}')
if count == 0 :
olddata = get_data(game,item)
olddata=getLastXDays(olddata,days)
olddata=smooth(olddata)
oldpricedata = [quote[1] for quote in olddata]
xaxis = [quote[0] for quote in olddata]
plt.plot(xaxis)
count += 1
else:
newdata = get_data(game,item)
newdata=getLastXDays(newdata,days)
newdata=smooth(newdata)
newpricedata = [quote[1] for quote in newdata]
oldpricedata = myFancyAverage(oldpricedata,newpricedata)
xaxis = [quote[0] for quote in newdata]
plt.plot(xaxis)
count += 1
if count == len(itemlist):
print('complete')
yaxis = (oldpricedata)
plt.plot((),yaxis)
plt.title(f'General Trend for {itemlist} over the last {days} days')
plt.show()
plottrend()
Мой файл .ini:
[Settings]
Items =Danger Zone Case,Falchion Case,Prisma Case,Gamma Case,Prisma 2 Case,Gamma 2 Case,Horizon Case,Clutch Case,Glove Case,Spectrum Case
Days =365
Game =CS:GO
Divisor =10000
Моя ошибка:
C:\Users\Donov\OneDrive\Desktop\grapher_clean>python Grapher_clean.py
Complete 0 of 10
Complete 1 of 10
Complete 2 of 10
Complete 3 of 10
Complete 4 of 10
Complete 5 of 10
Complete 6 of 10
Complete 7 of 10
Complete 8 of 10
Complete 9 of 10
complete
Traceback (most recent call last):
File "Grapher_clean.py", line 137, in <module>
plottrend()
File "Grapher_clean.py", line 133, in plottrend
plt.plot(xaxis,yaxis)
File "C:\Users\Donov\AppData\Local\Programs\Python\Python38-32\lib\site-packages\matplotlib\pyplot.py", line 2761, in plot
return gca().plot(
File "C:\Users\Donov\AppData\Local\Programs\Python\Python38-32\lib\site-packages\matplotlib\axes\_axes.py", line 1646, in plot
lines = [*self._get_lines(*args, data=data, **kwargs)]
File "C:\Users\Donov\AppData\Local\Programs\Python\Python38-32\lib\site-packages\matplotlib\axes\_base.py", line 216, in __call__
yield from self._plot_args(this, kwargs)
File "C:\Users\Donov\AppData\Local\Programs\Python\Python38-32\lib\site-packages\matplotlib\axes\_base.py", line 342, in _plot_args
raise ValueError(f"x and y must have same first dimension, but "
ValueError: x and y must have same first dimension, but have shapes (366,) and (24,)
Я подозреваю, что это связано с тем фактом, что некоторые предметы вышли позже, чем другие имеют в виду, что их данные начинаются позднее, поэтому я не могу получить даты из самого последнего элемента, на который я смотрел, потому что другие элементы могут иметь данные более раннего времени, но я не знаю, как найти элемент с самыми ранними данными и извлечь только из что или как соединить строки, как показано ниже: Пожалуйста, помогите и спасибо
List1 = [7,8,9]
List2 = [6,7,8,9]
list3 = [2,3,4,5,6,7,8,9]
Ожидаемый результат:
newlist = [2,3,4,5,6,7,8,9]