Python matplotlib.finance.candlestick_ohlc() Examples

The following are 5 code examples of matplotlib.finance.candlestick_ohlc(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module matplotlib.finance , or try the search function .
Example #1
Source File: chart.py    From XQuant with MIT License 7 votes vote down vote up 
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')
Example #2
Source File: plotting.py    From japandas with BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
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
Example #3
Source File: plot_test.py    From ChZhShCh with Apache License 2.0 5 votes vote down vote up 
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()
Example #4
Source File: show.py    From ChZhShCh with Apache License 2.0 5 votes vote down vote up 
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
Example #5
Source File: CandleDrawer.py    From stockflow with MIT License 4 votes vote down vote up 
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')