def animate(i):
data = load_ticker_data(conn, ['usd'],range=[ST,EN]).tail(100)
cols = ['usd','usd_l_band','usd_u_band']
data = data[cols]
for lnum, line in enumerate(lines):
line.set_ydata(data[[cols[lnum]]]) # update the data
line.set_xdata(data.index.values)
line.axes.relim()
line.axes.autoscale_view()
plt.legend()
return lines,
plt.ion()
st = datetime.datetime(2016, 2, 18, 10, 30)
en = datetime.datetime(2020, 2, 15, 20, 0)
def update_line(line, data, symbol):
line.set_xdata(data.index)
line.set_ydata(data[[symbol]])
return line
#u_band_line, = ax1.plot(data[['usd_u_band']])
#l_band_line, = ax1.plot(data[['usd_l_band']])
fig = plt.figure()
ax1 = fig.add_subplot(111)
data = load_ticker_data(conn, ['usd','eur'], range=[st,en])
price_line, = ax1.plot(data[['usd']])
plt.show()
while True:
data = load_ticker_data(conn, ['usd','eur'], range=[st,en])
line = update_line(price_line, data, 'usd')
ax1.relim()
ax1.autoscale_view()
plt.draw()
plt.pause(2)
"""
from trader_data_prep import load_ticker_data
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import sqlite3
import datetime
ST = datetime.datetime(2016, 2, 18, 10, 30)
EN = datetime.datetime(2020, 2, 15, 20, 0)
fig, ax = plt.subplots()
plt.style.use('ggplot')
conn = sqlite3.connect('data/trackerdata.db')
data = load_ticker_data(conn, ['usd','eur'],range=[ST,EN])
def animate(i):
data = load_ticker_data(conn, ['usd'],range=[ST,EN]).tail(100)
cols = ['usd','usd_l_band','usd_u_band']
data = data[cols]
for lnum, line in enumerate(lines):
line.set_ydata(data[[cols[lnum]]]) # update the data
line.set_xdata(data.index.values)
line.axes.relim()
line.axes.autoscale_view()
plt.legend()
return lines,
# Init only required for blitting to give a clean slate.
