Question

尝试使用matplotlib绘制蒸汽价格历史数据图表我正在尝试在特定时间范围内获得平均图表一切正常，直到在绘制日期时matplotlib给我一个值错误

我的代码：

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()

我的.ini文件：

[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

我的错误：

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,)

我怀疑这与某些项目比其他项目晚出现有关，这意味着它们的数据在时间上较晚开始，因此我无法从我查看的最新项目中提取日期，因为其他项目可能具有早于时间，但是我不知道如何找到包含最早数据的项目，只能从中提取数据，或者如何像下面这样连接字符串：请帮助并谢谢你

List1 = [7,8,9]
List2 = [6,7,8,9]
list3 = [2,3,4,5,6,7,8,9]

预期输出：

newlist = [2,3,4,5,6,7,8,9]

Answer 1

您可以使用：

list1 = [7,8,9]
list2 = [6,7,8,9]
list3 = [2,3,4,5,6,7,8,9]
print(sorted(set(list1+list2+list3)))
# [2, 3, 4, 5, 6, 7, 8, 9]

Demo

在python中合并列表，但保持顺序

1 个答案: