我试图在滚动窗口中用matplotlib绘制快速数据(每秒1-10个数据点)。在滚动窗口中绘制快速传入数据
我喜欢熊猫,因为它很简单。
我的问题是:
是我的框架,有效(关于使用熊猫,matplotlib的 “plt.draw”)?
如果循环运行了1'000'000'000次,那么数据帧(self.df)会变得太大 - >在某个点删除数据收集器,然后开始一个空的数据框?但那滚动窗口的连续性呢?
该示例在一段时间后开始变得非常缓慢。难道是因为低效率的制图由于低效利用的内存
控制台或显示一个警告:
MatplotlibDeprecationWarning: Using default event loop until function specific to this GUI is implemented warnings.warn(str, mplDeprecation)
我必须采取照顾?
在此先感谢
这是我到目前为止有:
import numpy as np
import matplotlib.pyplot as plt; plt.ion()
import pandas as pd
import matplotlib
import matplotlib.gridspec as gridspec
plt.style.use('ggplot')
from pathlib import Path
import datetime
import matplotlib
class tradeScreen(object):
def __init__(self):
self.rollingWindow = 100
self.df = pd.DataFrame(dict(time=np.NaN, bid=np.NaN, ask=np.NaN, limitBuy=np.NaN, limitSell=np.NaN, stopLoss=np.NaN), index=np.arange(self.rollingWindow))
self.df['time'] = pd.to_datetime(self.df['time']) # format 'time' as datetime object
# initialise plot and line
plt.figure()
G = gridspec.GridSpec(2, 1)
self.axes_1 = plt.subplot(G[0, :])
self.axes_1.set_ylabel('First Panel')
self.axes_2 = plt.subplot(G[1, :])
self.axes_2.set_ylabel('Second Panel')
self.line1, = self.axes_1.plot(self.df['time'], self.df['bid'])
self.line2, = self.axes_1.plot(self.df['time'], self.df['ask'])
self.line3, = self.axes_1.plot(self.df['time'], self.df['limitBuy'])
self.line4, = self.axes_1.plot(self.df['time'], self.df['limitSell'])
self.line5, = self.axes_2.plot(self.df['time'], self.df['stopLoss'])
def plotter(self, tick, i):
df = self.df
rollingWindow = self.rollingWindow
current_time = pd.datetime.now()
df.loc[i, "bid"] = tick["bid"].values.item(0)
df.loc[i, "ask"] = tick["ask"].values.item(0)
df.loc[i, "limitBuy"] = tick["limitBuy"].values.item(0)
df.loc[i, "limitSell"] = tick["limitSell"].values.item(0)
df.loc[i, "stopLoss"] = tick["stopLoss"].values.item(0)
df.loc[i, "time"] = current_time
self.line1.set_data(pd.to_datetime(df['time'][:i].tail(rollingWindow)), df['bid'][:i].tail(rollingWindow))
self.line2.set_data(pd.to_datetime(df['time'][:i].tail(rollingWindow)), df['ask'][:i].tail(rollingWindow))
self.line3.set_data(pd.to_datetime(df['time'][:i].tail(rollingWindow)), df['limitBuy'][:i].tail(rollingWindow))
self.line4.set_data(pd.to_datetime(df['time'][:i].tail(rollingWindow)), df['limitSell'][:i].tail(rollingWindow))
self.line5.set_data(pd.to_datetime(df['time'][:i].tail(rollingWindow)), df['stopLoss'][:i].tail(rollingWindow))
self.axes_1.autoscale_view(True, True, True)
self.axes_1.relim()
self.axes_2.autoscale_view(True, True, True)
self.axes_2.relim()
plt.draw()
plt.pause(0.00000000000000001)
p = tradeScreen()
i = 0
for i in np.arange(300):
# generate random data point
t = pd.datetime.now()
bid = np.random.rand()
ask = np.random.rand()
limitBuy = np.random.rand()
limitSell = np.random.rand()
stopLoss = np.random.rand()
tick = pd.DataFrame(dict(time=t, bid=bid, ask=ask, limitBuy=limitBuy, limitSell=limitSell, stopLoss=stopLoss),
index=np.arange(1))
p.plotter(tick, i)
i += 1
嗨Diziet,非常感谢您的回复。当我运行代码时,它仅在_blit_clear a.figure.canvas.restore_region(bg_cache [a])中返回一些错误消息“C:\ Anaconda3 \ lib \ site-packages \ matplotlib \ animation.py”,第898行 KeyError: Traceback(last recent call last): _on_timer中的文件“C:\ Anaconda3 \ lib \ site-packages \ matplotlib \ backend_bases.py”,行1305 ... –
Pat