PyQt5_寻找波峰波谷并可视化
2024-04-23 09:53:49
在K线图分析中经常需要查看波峰与波谷的情况，鉴别是否后续高点是否高于或低于前一个高点，后续低点是否高于或低于前一个低点；另一种情况是寻找曲线形态，诸如头肩顶（底）、双重顶（底）等。在K线图中直接查找会比较费劲，如果通过代码编写，把比较重要的波峰（高点）、波谷（低点）找出，将这些比较重要的高点低点连线，就可以比较容易地看出高低位置和找出曲线形态。
目录
效果
寻找波峰波谷策略代码
可视化部分代码
使用
效果
左侧是波峰波谷连线后的简易趋势曲线，右侧是原始K线图
寻找波峰波谷策略代码
思路：
1. 出现一个波峰，要出现下一个波峰中间必然会有一个波谷，所以波峰和波谷必然交替出现；
2. pandas中有一个cummax()方法，可以找到当前点之前的最大值，也就是说如果当前点位之前有比当前值更大的值，当前点位即使是新的波峰，这个波峰也无法获取到；波谷的cummin()也是一样的道理；
3. 基于以上两点，可以采用这样的办法：
1） 先找到第一个波峰和波谷，即使用cummax()和cummin()找到第一个波峰和波谷，检查第一个波峰和第一个波谷的位置，在前面的是首先出现的目标点位
2）根据首次出现的目标点位，以该点位的下一个位置为第二次寻找的初始位置，如果第一个目标点位是波峰，那第二次该找波谷，从新的初始位置开始使用cummin()寻找最先出现的波谷；如果第一个目标点位是波谷，那第二次该找波峰，从新的初始位置开始使用cummax()寻找最先出现的波峰；这样第二个目标点位就找到了，以此类推，找到所有的目标点位
3）找到所有的目标点位后，会发现很多波峰与波谷之间只相邻了很少的K线，甚至就是相邻，这种情况根据自己研究的需要，可以把相邻很近的波峰波谷成对删除。
def res_peak_trough_list(df,peak_col,trough_col):'''寻找波峰波谷:param df: 必须要有i_row:param peak_col: 波峰字段:param trough_col: 波谷字段:return:'''# 循环寻找波峰和波谷,交替寻找peak_list = []trough_list = []start_up_i_row = 0peak_yeah = Falsetrough_yeah = Falsewhile True:if start_up_i_row >= len(df):breakdf00 = df.loc[df['i_row'] >= start_up_i_row].copy()df00['peak'] = df00[peak_col].cummax()df00['ext_00'] = df00['peak'] - df00['peak'].shift(-1)df00_p = df00.loc[(df00['ext_00'] == 0) & (df00['ext_00'].shift(-1) == 0) & (df00['ext_00'].shift(-2) == 0) & (df00['ext_00'].shift(-3) == 0) & (df00['ext_00'].shift(-4) == 0)].copy()df00['trough'] = df00[trough_col].cummin()df00['ext_10'] = df00['trough'] - df00['trough'].shift(-1)df00_t = df00.loc[(df00['ext_10'] == 0) & (df00['ext_10'].shift(-1) == 0) & (df00['ext_10'].shift(-2) == 0) & (df00['ext_10'].shift(-3) == 0) & (df00['ext_10'].shift(-4) == 0)].copy()if (df00_p is None or len(df00_p) <= 0) and (df00_t is not None and len(df00_t) > 0):trough_0 = df00_t.iloc[0]['i_row']if trough_yeah:trough_list.append(trough_0)breakelif (df00_t is None or len(df00_t) <= 0) and (df00_p is not None and len(df00_p) > 0):peak_0 = df00_p.iloc[0]['i_row']if peak_yeah:peak_list.append(peak_0)breakelif (df00_p is None or len(df00_p) <= 0) or (df00_t is None or len(df00_t) <= 0):breakelse:trough_0 = df00_t.iloc[0]['i_row']peak_0 = df00_p.iloc[0]['i_row']if peak_0 == trough_0:start_up_i_row += 1continueif peak_0 == 0:peak_yeah = Falsetrough_yeah = Truepeak_list.append(peak_0)start_up_i_row = trough_0elif trough_0 == 0:trough_yeah = Falsepeak_yeah = Truetrough_list.append(trough_0)start_up_i_row = peak_0else:if not trough_yeah and not peak_yeah:# 首次进入if peak_0 < trough_0:trough_yeah = Truepeak_list.append(peak_0)start_up_i_row = trough_0else:peak_yeah = Truetrough_list.append(trough_0)start_up_i_row = peak_0else:if peak_0 < trough_0:if peak_yeah:peak_list.append(peak_0)peak_yeah = Falsetrough_yeah = Truestart_up_i_row = trough_0else:if trough_yeah:trough_list.append(trough_0)trough_yeah = Falsepeak_yeah = Truestart_up_i_row = peak_0passtwo_list = peak_list + trough_listtwo_list.sort()i = 0remove_list = []while i < len(two_list) - 2:one_i = two_list[i]two_i = two_list[i + 1]if one_i in peak_list and two_i in trough_list:if abs(one_i - two_i) <= 2:i += 2remove_list.append(one_i)remove_list.append(two_i)continuepasselif one_i in trough_list and two_i in peak_list:if abs(one_i - two_i) <= 2:i += 2remove_list.append(one_i)remove_list.append(two_i)continuepasselse:passi += 1passtwo_list00 = []for item in two_list:if item in remove_list:continuetwo_list00.append(item)peak_list00 = []trough_list00 = []for item in two_list00:if item in peak_list:peak_list00.append(item)if item in trough_list:trough_list00.append(item)return peak_list00,trough_list00可视化部分代码
需要导入的包、日期横坐标控件、K线图控件的代码请查看本人本栏目中其他博文，这里不再赘述。
K线图显示控件
class PyQtGraphScrollKWidget(QtWidgets.QWidget):def __init__(self):super().__init__()self.factor_widgets = {}self.simple_line_widget = Noneself.init_data()self.init_ui()passdef init_data(self):# https://www.sioe.cn/yingyong/yanse-rgb-16/# self.color_line = (30, 144, 255)self.color_line = (255, 255, 0)self.color_highligh = (220,20,60)# 0 幽灵的白色; 1 纯黄; 2 紫红色; 3 纯绿; 4 道奇蓝self.color_list = [(248, 248, 255), (255, 255, 0), (255, 0, 255), (0, 128, 0), (30, 144, 255)]self.color_green = (34,139,34)self.color_red = (220,20,60)self.main_fixed_target_list = [] # 主体固定曲线，不能被删除self.whole_df = Noneself.whole_header = Noneself.whole_pd_header = Noneself.current_whole_data = Noneself.current_whole_df = Noneself.factor_list = Noneself.ma_list = Noneself.show_duration = []self.show_line = []self.show_segment = []self.detail_map = Noneself.peak_trough_data = Noneself.factor_code_widgetname_map = {'VOL':'VOL_PlotWidget','SAR':'SAR_PlotWidget','MACD':'MACD_PlotWidget','BOLL':'BOLL_PlotWidget','KDJ':'KDJ_PlotWidget','RSI':'RSI_PlotWidget'}passdef init_ui(self):self.whole_duration_label = QtWidgets.QLabel('左边界~右边界')pic_download_btn = QtWidgets.QPushButton('滚动截图')pic_download_btn.clicked.connect(self.pic_download_btn_clicked)simple_line_btn = QtWidgets.QPushButton('K波峰波谷图')simple_line_btn.clicked.connect(self.simple_line_btn_clicked)layout_top = QtWidgets.QHBoxLayout()layout_top.addWidget(self.whole_duration_label)layout_top.addStretch(1)layout_top.addWidget(pic_download_btn)layout_top.addWidget(simple_line_btn)self.title_label = QtWidgets.QLabel('执行过程查看')self.title_label.setAlignment(Qt.AlignCenter)self.title_label.setStyleSheet('QLabel{font-size:18px;font-weight:bold}')# 滚动区域开始self.pw_layout = QtWidgets.QVBoxLayout()self.scroll_area = QtWidgets.QScrollArea()self.scroll_area.setWidgetResizable(True)# self.scroll_area.setVerticalScrollBarPolicy(QtCore.Qt.ScrollBarAlwaysOff)layout_right = QtWidgets.QVBoxLayout()layout_right.addWidget(self.title_label)layout_right.addLayout(layout_top)layout_right.addWidget(self.scroll_area)self.setLayout(layout_right)passdef set_data(self, data: Dict[str, Any]):title_str = data['title_str']whole_header = data['whole_header']whole_df = data['whole_df']whole_pd_header = data['whole_pd_header']factor_list = data['factor_list']ma_list = data['ma_list']detail_map = data['detail_map']if data.get('peak_trough_data') is not None:self.peak_trough_data = data['peak_trough_data']self.whole_header = whole_headerself.whole_df = whole_dfself.whole_pd_header = whole_pd_headerself.factor_list = factor_listself.ma_list = ma_listif detail_map.get('duration') is not None:self.show_duration = detail_map['duration']if detail_map.get('line') is not None:self.show_line = detail_map['line']if detail_map.get('segment') is not None:self.show_segment = detail_map['segment']self.detail_map = detail_mapself.title_label.setText(title_str)self.whole_duration_label.setText(f"{self.whole_df.iloc[0]['tradeDate']}~{self.whole_df.iloc[-1]['tradeDate']}")self.current_whole_df = self.whole_df.copy()self.caculate_and_show_data()passdef caculate_and_show_data(self):df = self.current_whole_df.copy()# df.reset_index(inplace=True)df['i_count'] = [i for i in range(len(df))]tradeDate_list = df['tradeDate'].values.tolist()x = range(len(df))xTick_show = []x_dur = math.ceil(len(df) / 20)for i in range(0, len(df), x_dur):xTick_show.append((i, tradeDate_list[i]))if len(df) % 20 != 0:xTick_show.append((len(df) - 1, tradeDate_list[-1]))candle_data = []for i, row in df.iterrows():candle_data.append((row['i_count'], row['openPrice'], row['closePrice'], row['lowestPrice'], row['highestPrice']))self.current_whole_data = df.loc[:, self.whole_pd_header].values.tolist()# 开始配置显示的内容self.create_candle_widget()self.factor_widgets.clear()xax = self.pw.getAxis('bottom')xax.setTicks([xTick_show])# 标记技术图形 startif len(self.show_duration)>0:duration_list = self.show_duration[0]duration_color = self.show_duration[1]for i,item in enumerate(duration_list):for item00 in item:signal_fiexed_target = pg.LinearRegionItem([item00[0], item00[1]],movable=False, brush=(self.color_list[duration_color[i]][0], self.color_list[duration_color[i]][1], self.color_list[duration_color[i]][2], 50))self.pw.addItem(signal_fiexed_target)passpassif len(self.show_line)>0:line_list = self.show_line[0]line_color = self.show_line[1]for i,item in enumerate(line_list):for item00 in item:signal_fiexed_target = pg.InfiniteLine(pos=(item00, 0), movable=False, angle=90,pen=pg.mkPen({'color': self.color_list[line_color[i]], 'width': 1}))self.pw.addItem(signal_fiexed_target)passif len(self.show_segment)>0:for item in self.show_segment:r_target = pg.LineSegmentROI(item,pen={'color':self.color_red,'width':2},movable=False)self.pw.addItem(r_target)pass# 标记技术图形 endcandle_fixed_target = CandlestickItem(candle_data)self.main_fixed_target_list.append(candle_fixed_target)self.pw.addItem(candle_fixed_target)if len(self.ma_list)>0:for i, item in enumerate(self.ma_list):item_color = i%len(self.color_list)line_fixed_target = pg.PlotCurveItem(x=np.array(x), y=np.array(df[item].values.tolist()),pen=pg.mkPen({'color': self.color_list[item_color],'width': 1}),connect='finite')self.main_fixed_target_list.append(line_fixed_target)self.pw.addItem(line_fixed_target)passself.vLine = pg.InfiniteLine(angle=90, movable=False)self.hLine = pg.InfiniteLine(angle=0, movable=False)self.label = pg.TextItem()self.pw.addItem(self.vLine, ignoreBounds=True)self.pw.addItem(self.hLine, ignoreBounds=True)self.pw.addItem(self.label, ignoreBounds=True)self.vb = self.pw.getViewBox()self.proxy = pg.SignalProxy(self.pw.scene().sigMouseMoved, rateLimit=60, slot=self.mouseMoved)# 其他项for item in self.factor_list:item_widget = eval(self.factor_code_widgetname_map[item])()item_widget.setMinimumHeight(300)item_widget.set_data({'df':self.current_whole_df.copy()})item_widget.setXLink(self.pw)# 标记 startif self.detail_map.get(item) is not None:target_detail = self.detail_map[item]if target_detail.get('duration') is not None:target_duration = target_detail['duration']target_list = target_duration[0]target_color = target_duration[1]for i,i0 in enumerate(target_list):for i00 in i0:signal_fiexed_target = pg.LinearRegionItem([i00[0], i00[1]],movable=False, brush=(self.color_list[target_color[i]][0], self.color_list[target_color[i]][1],self.color_list[target_color[i]][2], 50))item_widget.addItem(signal_fiexed_target)passif target_detail.get('line') is not None:target_line = target_detail['line']target_list = target_line[0]target_color = target_line[1]for i, i0 in enumerate(target_list):for i00 in i0:signal_fiexed_target = pg.InfiniteLine(pos=(i00, 0), movable=False, angle=90,pen=pg.mkPen({'color': self.color_list[target_color[i]],'width': 1}))item_widget.addItem(signal_fiexed_target)passif target_detail.get('segment') is not None:target_segment = target_detail['segment']for i00 in target_segment:r_target = pg.LineSegmentROI(i00, pen={'color': self.color_red, 'width': 2}, movable=False)item_widget.addItem(r_target)pass# 标记 endself.factor_widgets[item] = item_widgetself.fill_pw_widget()self.pw.enableAutoRange()passdef mouseMoved(self, evt):pos = evt[0]if self.pw.sceneBoundingRect().contains(pos):mousePoint = self.vb.mapSceneToView(pos)index = int(mousePoint.x())if index >= 0 and index < len(self.current_whole_data):target_data = self.current_whole_data[index]html_str = ''for i, item in enumerate(self.whole_header):html_str += f"<br/>{item}:{target_data[i]}"self.label.setHtml(html_str)self.label.setPos(mousePoint.x(), mousePoint.y())self.vLine.setPos(mousePoint.x())self.hLine.setPos(mousePoint.y())passdef mouseClicked(self, evt):passdef updateViews(self):passdef fill_pw_widget(self):# 清空控件while self.pw_layout.count():item = self.pw_layout.takeAt(0)widget = item.widget()if widget is not None:widget.deleteLater()passpasssc_child_widget = self.scroll_area.takeWidget()if sc_child_widget is not None:sc_child_widget.deleteLater()self.pw_layout.addWidget(self.pw)for item in self.factor_widgets.values():self.pw_layout.addWidget(item)one_sc_child_widget = QtWidgets.QWidget()one_sc_child_widget.setLayout(self.pw_layout)self.scroll_area.setWidget(one_sc_child_widget)passdef create_candle_widget(self):xax = RotateAxisItem(orientation='bottom')xax.setHeight(h=60)self.pw = pg.PlotWidget(axisItems={'bottom': xax})self.pw.setMinimumHeight(500)self.pw.setMouseEnabled(x=True, y=True)# self.pw.enableAutoRange(x=False,y=True)self.pw.setAutoVisible(x=False, y=True)passdef pic_download_btn_clicked(self):now_str = datetime.now().strftime('%Y%m%d%H%M%S')path,_ = QtWidgets.QFileDialog.getSaveFileName(self,'选择图片保存路径',f"pic_{now_str}",'JPG(*.jpg)')if not path:returnwidget = self.scroll_area.widget()pix = widget.grab()pix.save(path)passdef simple_line_btn_clicked(self):# PyQtGraphSimpleLineWidgetif self.peak_trough_data is None:QtWidgets.QMessageBox.information(self,'提示','没有波峰波谷数据',QtWidgets.QMessageBox.Yes)returnif self.simple_line_widget is None:self.simple_line_widget = PyQtGraphSimpleLineWidget()self.simple_line_widget.set_data(self.peak_trough_data)self.simple_line_widget.show()passdef closeEvent(self, a0: QtGui.QCloseEvent) -> None:if self.simple_line_widget is not None:self.simple_line_widget.close()self.close()pass简易波峰波谷显示控件
class PyQtGraphSimpleLineWidget(QtWidgets.QWidget):def __init__(self):super().__init__()self.init_data()self.init_ui()def init_data(self):# https://www.sioe.cn/yingyong/yanse-rgb-16/# self.color_line = (30, 144, 255)self.color_line = (255, 255, 0)self.color_highligh = (220,20,60)# 0 幽灵的白色; 1 纯黄; 2 紫红色; 3 纯绿; 4 道奇蓝self.color_list = [(248, 248, 255), (255, 255, 0), (255, 0, 255), (0, 128, 0), (30, 144, 255)]passdef init_ui(self):self.title_label = QtWidgets.QLabel('简易波峰波谷图')self.title_label.setAlignment(Qt.AlignCenter)self.title_label.setStyleSheet('QLabel{font-size:18px;font-weight:bold}')xax = RotateAxisItem(orientation='bottom')xax.setHeight(h=80)self.pw = pg.PlotWidget(axisItems={'bottom': xax})self.pw.setMouseEnabled(x=True, y=True)# self.pw.enableAutoRange(x=False,y=True)self.pw.setAutoVisible(x=False, y=True)layout_right = QtWidgets.QVBoxLayout()layout_right.addWidget(self.title_label)layout_right.addWidget(self.pw)self.setLayout(layout_right)passdef set_data(self, data: Dict[str, Any]):i_row_list = data['i_row_list']tradeDate_list = data['tradeDate_list']y = data['y']len = data['len']self.i_row_list = i_row_listself.tradeDate_list = tradeDate_listself.y = yx = range(len)self.x = xxTick_show = []# x_dur = math.ceil(len(tradeDate_list) / 20)# for i in range(0, len(tradeDate_list), x_dur):# # xTick_show.append((i, tradeDate_list[i]))# xTick_show.append((i_row_list[i], tradeDate_list[i]))# if len(tradeDate_list) % 20 != 0:# xTick_show.append((len(tradeDate_list) - 1, tradeDate_list[-1]))for i,item in zip(i_row_list,tradeDate_list):xTick_show.append((i,item))# 开始配置显示的内容self.pw.clear()xax = self.pw.getAxis('bottom')xax.setTicks([xTick_show])fixed_target = pg.PlotCurveItem(x=np.array(i_row_list), y=np.array(y),pen=pg.mkPen({'color': self.color_line, 'width': 2}),connect='finite')self.pw.addItem(fixed_target)self.vLine = pg.InfiniteLine(angle=90, movable=False)self.hLine = pg.InfiniteLine(angle=0, movable=False)self.label = pg.TextItem()self.pw.addItem(self.vLine, ignoreBounds=True)self.pw.addItem(self.hLine, ignoreBounds=True)self.pw.addItem(self.label, ignoreBounds=True)self.vb = self.pw.getViewBox()self.proxy = pg.SignalProxy(self.pw.scene().sigMouseMoved, rateLimit=60, slot=self.mouseMoved)self.pw.enableAutoRange()passdef mouseMoved(self, evt):pos = evt[0]if self.pw.sceneBoundingRect().contains(pos):mousePoint = self.vb.mapSceneToView(pos)index = int(mousePoint.x())# x = self.x[index]if index in self.i_row_list:i0 = self.i_row_list.index(index)tradeDate = self.tradeDate_list[i0]y = self.y[i0]html_str = ''html_str += f"<br/>日期:{tradeDate}"html_str += f"<br/>i_row:{index}"html_str += f"<br/>y:{y}"self.label.setHtml(html_str)self.label.setPos(mousePoint.x(), mousePoint.y())self.vLine.setPos(mousePoint.x())self.hLine.setPos(mousePoint.y())passdef mouseClicked(self, evt):passdef updateViews(self):passpass使用
if __name__ == '__main__':pre_path = r'E:/temp005/600660.csv'caculate_start_date_str = '2020-01-01'df = pd.read_csv(pre_path,encoding='utf-8')# 删除停牌的数据df = df.loc[df['openPrice'] > 0].copy()df['o_date'] = df['tradeDate']df['o_date'] = pd.to_datetime(df['o_date'])df = df.loc[df['o_date'] >= caculate_start_date_str].copy()# 保存未复权收盘价数据df['close'] = df['closePrice']# 计算前复权数据df['openPrice'] = df['openPrice'] * df['accumAdjFactor']df['closePrice'] = df['closePrice'] * df['accumAdjFactor']df['highestPrice'] = df['highestPrice'] * df['accumAdjFactor']df['lowestPrice'] = df['lowestPrice'] * df['accumAdjFactor']df.reset_index(inplace=True)df['i_row'] = [i for i in range(len(df))]k_peak, k_trough = res_peak_trough_list(df,'highestPrice','lowestPrice')two00 = k_peak + k_troughtwo00.sort()y_list = []tradeDate_list = []for item in two00:if item in k_peak:y_list.append(df.iloc[item]['highestPrice'])else:y_list.append(df.iloc[item]['lowestPrice'])tradeDate_list.append(df.iloc[item]['tradeDate'])peak_trough_data = {'i_row_list': two00,'tradeDate_list': tradeDate_list,'y': y_list,'len': len(df)}columns_list = ['日期', '收盘价', '开盘价', '最高价', '最低价']columns_pd_list = ['tradeDate', 'closePrice', 'openPrice', 'highestPrice', 'lowestPrice']line_data = {'title_str': '寻找波峰和波谷','whole_header': columns_list,'whole_df': df,'whole_pd_header': columns_pd_list,'detail_map': {},'factor_list': [],'ma_list': [],'peak_trough_data': peak_trough_data}QtCore.QCoreApplication.setAttribute(QtCore.Qt.HighDpiScaleFactorRoundingPolicy.PassThrough)app = QtWidgets.QApplication(sys.argv)t_win = PyQtGraphScrollKWidget()t_win.set_data(line_data)t_win.showMaximized()app.exec()passPyQt5_寻找波峰波谷并可视化相关推荐
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图像处理开发需求.图像处理接私活挣零花钱,请加微信/QQ 2487872782 图像处理开发资料.图像处理技术交流请加QQ群,群号 271891601 什么叫图像的投影特征图?定义如下: 图像水平方向 ...
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