怎么利用python代码绘制k线图

怎么利用python代码绘制k线图

import matplotlib.pyplot as pltfrom matplotlib.dates import DateFormatter, WeekdayLocator, DayLocator, MONDAY,YEARLYfrom matplotlib.finance import quotes_historical_yahoo_ohlc, candlestick_ohlcplt.rcParams['font.sans-serif'] = ['SimHei']plt.rcParams['axes.unicode_minus'] = Falseticker = '600028' # 600028 是"中国石化"的股票代码ticker += '.ss' # .ss 表示上证 .sz表示深证date1 = (2015, 8, 1) # 起始日期，格式：(年，月，日)元组date2 = (2016, 1, 1) # 结束日期，格式：(年，月，日)元组mondays = WeekdayLocator(MONDAY) # 主要刻度alldays = DayLocator() # 次要刻度#weekFormatter = DateFormatter('%b %d') # 如：Jan 12mondayFormatter = DateFormatter('%m-%d-%Y') # 如：2-29-2015dayFormatter = DateFormatter('%d') # 如：12quotes = quotes_historical_yahoo_ohlc(ticker, date1, date2)if len(quotes) == 0: raise SystemExitfig, 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(mondayFormatter)#ax.xaxis.set_minor_formatter(dayFormatter)#plot_day_summary(ax, quotes, ticksize=3)candlestick_ohlc(ax, quotes, width=0.6, colorup='r', colordown='g')ax.xaxis_date()ax.autoscale_view()plt.setp(plt.gca().get_xticklabels(), rotation=45, horizontalalignment='right')ax.grid(True)plt.title('中国石化 600028')plt.show()

import matplotlib.pyplot as plt from matplotlib.dates import dateformatter, weekdaylocator, daylocator, monday,yearly from matplotlib.finance import quotes_historical_yahoo_ohlc, candlestick_ohlc plt.rcparams['font.sans-serif'] = ['simhei'] plt.rcparams['axes.unicode_minus'] = false ticker = '600028' # 600028 是"中国石化"的股票代码 ticker += '.ss'   # .ss 表示上证 .sz表示深证 date1 = (2015, 8, 1) # 起始日期，格式：(年，月，日)元组 date2 = (2016, 1, 1)  # 结束日期，格式：(年，月，日)元组 mondays = weekdaylocator(monday)            # 主要刻度 alldays = daylocator()                      # 次要刻度 #weekformatter = dateformatter('%b %d')     # 如：jan 12 mondayformatter = dateformatter('%m-%d-%y') # 如：2-29-2015 dayformatter = dateformatter('%d')          # 如：12 quotes = quotes_historical_yahoo_ohlc(ticker, 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(mondayformatter) #ax.xaxis.set_minor_formatter(dayformatter) #plot_day_summary(ax, quotes, ticksize=3) candlestick_ohlc(ax, quotes, width=0.6, colorup='r', colordown='g') ax.xaxis_date() ax.autoscale_view() plt.setp(plt.gca().get_xticklabels(), rotation=45, horizontalalignment='right') ax.grid(true) plt.title('中国石化 600028') plt.show()