Question

我有以下烛台情节。我想让它可滚动，以便我可以看到更多细节。目前的情节太长，看不到细节。我在这里找到了可以滚动线条图的示例： Matplotlib: scrolling plot

但是，更新烛台似乎比更新折线图更复杂。烛台图返回线条和补丁。你能帮忙吗？

from pandas.io.data import get_data_yahoo
import matplotlib.pyplot as plt
from matplotlib import dates as mdates
from matplotlib import ticker as mticker
from matplotlib.finance import candlestick_ohlc
import datetime as dt
symbol = "GOOG"

data = get_data_yahoo(symbol, start = '2011-9-01', end = '2015-10-23')
data.reset_index(inplace=True)
data['Date']=mdates.date2num(data['Date'].astype(dt.date))
fig = plt.figure()
ax1 = plt.subplot2grid((1,1),(0,0))
plt.title('How to make it scrollable')
plt.ylabel('Price')
ax1.xaxis.set_major_locator(mticker.MaxNLocator(6))
ax1.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))

candlestick_ohlc(ax1,data.values,width=0.2)

Answer 1

对于你想要的，我建议使用Plotly，它允许交互式数据可视化（包括滚动，缩放，平移等），并且有一个很好的Python API。

以下是两种不同的方法（在这两种情况下，您都需要pip install plotly）

使用Plotly网站API（需要您create an account here并获取您的用户名和API密钥。您需要连接到Internet才能生成图表。）

from pandas.io.data import get_data_yahoo
import matplotlib.pyplot as plt
from matplotlib import dates as mdates
from matplotlib import ticker as mticker
from matplotlib.finance import candlestick_ohlc
import datetime as dt
# Imports for Plotly
import plotly.plotly as py
import plotly.tools as tls
from plotly.tools import FigureFactory as FF

# Put your credentials here
tls.set_credentials_file(username='YourUserName', api_key='YourAPIKey')

# Getting the data
symbol = "GOOG"
data = get_data_yahoo(symbol, start = '2011-9-01', end = '2015-10-23')
data.reset_index(inplace=True)
# Not needed anymore, we'll use the string-formatted dates.
#data['Date']=mdates.date2num(data['Date'].astype(dt.date))

# Creating the Plotly Figure
fig = FF.create_candlestick(data.Open, data.High, data.Low, data.Close, dates=data.Date)
lay = fig.layout

# Formatting the ticks.
lay.xaxis.nticks = 6
lay.xaxis.tickformat = "%Y-%m-%d"

# Removing the hover annotations Plotly adds by default, but this is optional.
lay.hovermode = False

# A nice title...
lay.title = "See, I made it scrollable :)"
py.iplot(fig)

使用Plotly的离线模式。我假设您将使用Jupyter（IPython笔记本）。您无需连接到Internet。

from pandas.io.data import get_data_yahoo
import matplotlib.pyplot as plt
from matplotlib import dates as mdates
from matplotlib import ticker as mticker
from matplotlib.finance import candlestick_ohlc
import datetime as dt

# Imports for Plotly
from plotly.offline import download_plotlyjs, init_notebook_mode, iplot
import plotly.tools as tls
from plotly.tools import FigureFactory as FF

init_notebook_mode() # Inject Plotly.js into the notebook

# Getting the data
symbol = "GOOG"
data = get_data_yahoo(symbol, start = '2011-9-01', end = '2015-10-23')
data.reset_index(inplace=True)
# Not needed anymore, we'll use the string-formatted dates.
#data['Date']=mdates.date2num(data['Date'].astype(dt.date))

# Creating the Plotly Figure
fig = FF.create_candlestick(data.Open, data.High, data.Low, data.Close, dates=data.Date)
lay = fig.layout

# Formatting the ticks.
lay.xaxis.nticks = 6
lay.xaxis.tickformat = "%Y-%m-%d"

# Removing the hover annotations Plotly adds by default, but this is optional.
lay.hovermode = False

# A nice title...
lay.title = "See, I made it scrollable :)"
iplot(fig)

缩放前的结果......

......放大特定区域后。

如果您有任何其他问题，请告诉我们。希望答案适合你！

Answer 2

您可以绘制整个绘图，然后使用滑块小部件修改轴区域。

我无法重现您的数据，因为我没有pandas.io.data库，所以我修改了the candlestick example from here，并添加了滑块。

import matplotlib.pyplot as plt
import datetime
from matplotlib.widgets import Slider
from matplotlib.finance import quotes_historical_yahoo_ohlc, candlestick_ohlc
from matplotlib.dates import DateFormatter, WeekdayLocator,\
    DayLocator, MONDAY

# (Year, month, day) tuples suffice as args for quotes_historical_yahoo
date1 = (2004, 2, 1)
date2 = (2004, 4, 12)

mondays = WeekdayLocator(MONDAY)        # major ticks on the mondays
alldays = DayLocator()              # minor ticks on the days
weekFormatter = DateFormatter('%b %d')  # e.g., Jan 12
dayFormatter = DateFormatter('%d')      # e.g., 12

quotes = quotes_historical_yahoo_ohlc('INTC', date1, date2)
if len(quotes) == 0:
    raise SystemExit

fig, ax = plt.subplots()
fig.subplots_adjust(bottom=0.2)
ax.xaxis.set_major_locator(mondays)
ax.xaxis.set_minor_locator(alldays)
ax.xaxis.set_major_formatter(weekFormatter)
#ax.xaxis.set_minor_formatter(dayFormatter)

#plot_day_summary(ax, quotes, ticksize=3)
candlestick_ohlc(ax, quotes, width=0.6)

ax.xaxis_date()
ax.autoscale_view()
plt.axis([datetime.date(*date1).toordinal(), datetime.date(*date1).toordinal()+10, 18.5, 22.5])
plt.setp(plt.gca().get_xticklabels(), rotation=45, horizontalalignment='right')


axcolor = 'lightgoldenrodyellow'
axpos = plt.axes([0.2, 0.05, 0.65, 0.03], axisbg=axcolor)


spos = Slider(axpos, 'Position', datetime.date(*date1).toordinal(), datetime.date(*date2).toordinal())

def update(val):
    pos = spos.val
    ax.axis([pos,pos+10, 18.5, 22.5])
    fig.canvas.draw_idle()

spos.on_changed(update)

plt.show()

我对轴尺寸和位置的某些值进行了硬编码，在适应您的代码时请务必小心。

如果需要，也可以实现相同的想法添加垂直滚动。

如何在Python中制作可滚动的candelstick图？

2 个答案: