本文整理汇总了Python中matplotlib.finance.candlestick_ohlc方法的典型用法代码示例。如果您正苦于以下问题：Python finance.candlestick_ohlc方法的具体用法？Python finance.candlestick_ohlc怎么用？Python finance.candlestick_ohlc使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类matplotlib.finance的用法示例。
在下文中一共展示了finance.candlestick_ohlc方法的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: _candlestick_ax
# 需要导入模块: from matplotlib import finance [as 别名]
# 或者: from matplotlib.finance import candlestick_ohlc [as 别名]
def _candlestick_ax(df, ax):
quotes = df.reset_index()
quotes.loc[:, 'datetime'] = mdates.date2num(quotes.loc[:, 'datetime'].astype(dt.date))
fplt.candlestick_ohlc(ax, quotes.values, width=0.4, colorup='red', colordown='green') 示例2: _get_plot_function
# 需要导入模块: from matplotlib import finance [as 别名]
# 或者: from matplotlib.finance import candlestick_ohlc [as 别名]
def _get_plot_function(self):
try:
from mpl_finance import candlestick_ohlc
except ImportError as e:
try:
from matplotlib.finance import candlestick_ohlc
except ImportError:
raise ImportError(e)
def _plot(data, ax, **kwds):
candles = candlestick_ohlc(ax, data.values, **kwds)
return candles
return _plot 示例3: candle_show
# 需要导入模块: from matplotlib import finance [as 别名]
# 或者: from matplotlib.finance import candlestick_ohlc [as 别名]
def candle_show(self, stock_data, scatter_data):
# 创建子图
fig, ax = plt.subplots(figsize=(192.0 / 72, 108.0 / 72))
mpf.candlestick_ohlc(ax, stock_data, width=self.width, colordown=self.colordown, colorup=self.colorup, alpha=1)
ax.grid(True)
plt.show() 示例4: candle_show
# 需要导入模块: from matplotlib import finance [as 别名]
# 或者: from matplotlib.finance import candlestick_ohlc [as 别名]
def candle_show(self, stock_data, top_bottom_data):
# 创建子图
fig, ax = plt.subplots(figsize=(192.0 / 72, 108.0 / 72))
ax.xaxis.set_major_locator(ticker.MultipleLocator(self.xaxis_cycle))
ax.xaxis.set_major_formatter(ticker.FuncFormatter(self.__format_date))
mpf.candlestick_ohlc(ax, stock_data, width=self.width, colordown=self.colordown, colorup=self.colorup, alpha=1)
# title 各种设置
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
plt.title(self.title)
plt.xlabel(self.xlabel)
plt.ylabel(self.ylabel)
# 顶底、图例等
if len(top_bottom_data) > 0:
x = []
y = []
for i in top_bottom_data:
x.append(i[0])
y.append(i[1])
plt.plot(x, y, '--y*', label='分笔')
plt.legend() # 展示图例
ax.grid(True)
# plt.savefig('E:\PythonChZhShCh\\' + code + k_type + start_date + end_date + '.png')
plt.show()
# MA 画图 示例5: draw
# 需要导入模块: from matplotlib import finance [as 别名]
# 或者: from matplotlib.finance import candlestick_ohlc [as 别名]
def draw(self, number, length = CANDLE_FIG_LENGTH):
reader = Reader(number)
series = [[] for x in xrange(7)]
# Candle Stick
candle_sticks = []
idx = -1
while True:
idx +=1
row = reader.getInput()
if row == None: break
for i in [1, 3, 4, 5, 6]:
series[i].append(float(row[i]))
# matplotlib 的 candlestick_ohlc 依序放入 [編號, 收盤, 最高, 最低, 開盤] 會畫出 K 線圖
candle_sticks.append((
idx,
float(row[6]),
float(row[4]),
float(row[5]),
float(row[3])
))
bool_up_series, ma_series, bool_down_series = self._getBooleanBand(series[6])
# Draw Figure
line_width = CANDLE_FIG_LINE_WIDTH
fig, axarr = plt.subplots(2, sharex=True)
candlestick_ohlc(axarr[0], candle_sticks[-length:], width=CANDLE_STICK_WIDTH)
x_axis = range(len(series[6]))
# set zorder 讓 candlestick 可以在上面
axarr[0].plot(x_axis[-length:], ma_series[-length:], c='#00ff00', ls='-', lw=line_width, zorder=-5)
axarr[0].plot(x_axis[-length:], bool_up_series[-length:], c='#ff0000', ls='-', lw=line_width, zorder=-4)
axarr[0].plot(x_axis[-length:], bool_down_series[-length:], c='#0000ff', ls='-', lw=line_width, zorder=-3)
axarr[0].plot(x_axis[-length:], series[4][-length:], c='#ff3399', ls='-', lw=line_width, zorder=-2)
axarr[0].plot(x_axis[-length:], series[5][-length:], c='#0099ff', ls='-', lw=line_width, zorder=-1)
axarr[0].set_title(self._getFigTitle(number))
axarr[1].plot(x_axis[-length:], series[1][-length:], c='#000000', ls='-', lw=line_width)
# set figure arguments
fig.set_size_inches(FIGURE_WIDTH, FIGURE_HEIGHT)
# output figure
fig.savefig(CANDLE_FIG_PATH+'/'+number+'.png', dpi=FIGURE_DPI)
plt.clf()
plt.close('all')