Esempio n. 1
0
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,
Esempio n. 2
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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)




Esempio n. 3
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"""
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.