本文主要是介绍python_PyQt5日周月K线纵向对齐显示_2_显示工具，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
目录
写在前面：
结果显示：
代码：
计算日数据、周数据，月数据，并返回
生成提示信息数据，同时将日周月合并到一个DataFrame中
返回K线图和成交量柱状图的数据
主界面，显示日周月对齐的K线图
使用方法
写在前面：
“PyQt5日周月K线纵向对齐显示”，将分三篇博文描述
1 数据处理。将数据处理成适合图形显示的格式。（已写，请看往期博文）
2 显示工具开发。用pyqtgraph开发
3 聚焦某段图形
结果显示：
日周月，K线图与成交量柱状图，共6个图拼接在一起，滚动显示，横坐标对齐
代码：
在前面博文中有介绍了主要数据处理的逻辑，这里直接上代码。
计算日数据、周数据，月数据，并返回
def temp_000():junxian = 20columns_list = ['row_i', 'tradeDate', 'openPrice', 'highestPrice', 'lowestPrice', 'closePrice','turnoverVol', 'turnoverValue','ma','vol_ma','value_ma']file_path = r'E:/temp003/600941.xlsx'df = pd.read_excel(file_path,engine='openpyxl')df['row_i'] = [i for i in range(len(df))]df['o_date'] = pd.to_datetime(df['tradeDate'])df['ma'] = talib.MA(df['closePrice'], timeperiod=junxian)df['vol_ma'] = talib.MA(df['turnoverVol'], timeperiod=junxian)df['value_ma'] = talib.MA(df['turnoverValue'], timeperiod=junxian)week_group = df.resample('W-FRI', on='o_date')month_group = df.resample('M', on='o_date')week_df = week_group.last()week_df['row_i'] = week_group.last()['row_i']week_df['openPrice'] = week_group.first()['openPrice']week_df['lowestPrice'] = week_group.min()['lowestPrice']week_df['highestPrice'] = week_group.max()['highestPrice']week_df['turnoverVol'] = week_group.sum()['turnoverVol']week_df['turnoverValue'] = week_group.sum()['turnoverValue']week_df = week_df.loc[:, columns_list].copy()week_df.dropna(axis=0, how='any', subset=['closePrice'], inplace=True)week_df['ma'] = talib.MA(week_df['closePrice'], timeperiod=junxian)week_df['vol_ma'] = talib.MA(week_df['turnoverVol'], timeperiod=junxian)week_df['value_ma'] = talib.MA(week_df['turnoverValue'], timeperiod=junxian)month_df = month_group.last()month_df['row_i'] = month_group.last()['row_i']month_df['openPrice'] = month_group.first()['openPrice']month_df['lowestPrice'] = month_group.min()['lowestPrice']month_df['highestPrice'] = month_group.max()['highestPrice']month_df['turnoverVol'] = month_group.sum()['turnoverVol']month_df['turnoverValue'] = month_group.sum()['turnoverValue']month_df = month_df.loc[:, columns_list].copy()month_df.dropna(axis=0, how='any', subset=['closePrice'], inplace=True)month_df['ma'] = talib.MA(month_df['closePrice'], timeperiod=junxian)month_df['vol_ma'] = talib.MA(month_df['turnoverVol'], timeperiod=junxian)month_df['value_ma'] = talib.MA(month_df['turnoverValue'], timeperiod=junxian)daily_df = df.loc[:, columns_list].copy()return daily_df, week_df, month_df# daily_df.to_excel(r'E:/temp009/day.xlsx',engine='openpyxl')# week_df.to_excel(r'E:/temp009/week.xlsx',engine='openpyxl')# month_df.to_excel(r'E:/temp009/month.xlsx',engine='openpyxl')return daily_df,week_df,month_df生成提示信息数据，同时将日周月合并到一个DataFrame中
def temp_001(daily_df,week_df,month_df):week_df.rename(columns={'row_i': 'week_i', 'tradeDate': 'week_tradeDate', 'closePrice': 'week_close', 'openPrice': 'week_open','lowestPrice': 'week_low', 'highestPrice': 'week_high', 'turnoverVol': 'week_turnoverVol','turnoverValue': 'week_turnoverValue'}, inplace=True)month_df.rename(columns={'row_i': 'month_i', 'tradeDate': 'month_tradeDate', 'closePrice': 'month_close','openPrice': 'month_open', 'lowestPrice': 'month_low', 'highestPrice': 'month_high','turnoverVol': 'month_turnoverVol', 'turnoverValue': 'month_turnoverValue'}, inplace=True)three_df = pd.merge(daily_df, week_df, how='left', left_on='tradeDate', right_on='week_tradeDate')three_df.fillna(method='bfill', inplace=True)three_df = pd.merge(three_df, month_df, how='left', left_on='tradeDate', right_on='month_tradeDate')three_df.fillna(method='bfill', inplace=True)# three_df.to_excel(r'E:/temp009/111/three.xlsx',engine='openpyxl')res_map = {}for i, row in three_df.iterrows():row_i = row['row_i']res_map[str(row_i)] = {'日期': row['tradeDate'],'收盘价': row['closePrice'],'开盘价': row['openPrice'],'最高价': row['highestPrice'],'最低价': row['lowestPrice'],'成交量': row['turnoverVol'],'成交额': row['turnoverValue'],'周': row['week_tradeDate'],'周收盘价': row['week_close'],'周开盘价': row['week_open'],'周最高价': row['week_high'],'周最低价': row['week_low'],'周成交量': row['week_turnoverVol'],'周成交额': row['week_turnoverValue'],'月': row['month_tradeDate'],'月收盘价': row['month_close'],'月开盘价': row['month_open'],'月最高价': row['month_high'],'月最低价': row['month_low'],'月成交量': row['month_turnoverVol'],'月成交额': row['month_turnoverValue']}return res_map, three_df返回K线图和成交量柱状图的数据
def temp_002(df):# 生成K线图和成交量柱状图k_height_num = 400vol_height_num = 100candle_data = df.loc[:, ['row_i', 'openPrice', 'closePrice', 'lowestPrice', 'highestPrice']].values.tolist()curve_data = {'x': df['row_i'].values.tolist(),'y': df['ma'].values.tolist()}one = {'height_num': k_height_num,'yMin': df['lowestPrice'].min(),'yMax': df['highestPrice'].max(),'data_list': [{'type': 'candle','data': candle_data},{'type': 'curve','data': curve_data}]}bar_data = df.loc[:, ['row_i', 'openPrice', 'closePrice', 'turnoverVol']].values.tolist()curve_data2 = {'x': df['row_i'].values.tolist(),'y': df['vol_ma'].values.tolist()}two = {'height_num': vol_height_num,'yMin': 0,'yMax': df['turnoverVol'].max(),'data_list': [{'type': 'bar','data': bar_data},{'type': 'curve','data': curve_data2}]}return one, twoK线控件、成交量bar控件
class CandlestickItem(pg.GraphicsObject):def __init__(self, data):pg.GraphicsObject.__init__(self)self.data = data ## data must have fields: time, open, close, min, maxself.generatePicture()def generatePicture(self):## pre-computing a QPicture object allows paint() to run much more quickly,## rather than re-drawing the shapes every time.self.picture = QtGui.QPicture()p = QtGui.QPainter(self.picture)p.setPen(pg.mkPen('d'))# w = (self.data[1][0] - self.data[0][0]) / 3.w = 0.3for (t, open, close, min, max) in self.data:p.drawLine(QtCore.QPointF(t, min), QtCore.QPointF(t, max))if open < close:p.setBrush(pg.mkBrush('r'))else:p.setBrush(pg.mkBrush('g'))p.drawRect(QtCore.QRectF(t-w, open, w * 2, close - open))p.end()def paint(self, p, *args):p.drawPicture(0, 0, self.picture)def boundingRect(self):## boundingRect _must_ indicate the entire area that will be drawn on## or else we will get artifacts and possibly crashing.## (in this case, QPicture does all the work of computing the bouning rect for us)return QtCore.QRectF(self.picture.boundingRect())class VOLtickItem(pg.GraphicsObject):def __init__(self, data):pg.GraphicsObject.__init__(self)self.data = data ## data must have fields: time,open,close, volself.generatePicture()def generatePicture(self):self.picture = QtGui.QPicture()p = QtGui.QPainter(self.picture)p.setPen(pg.mkPen('d'))# w = (self.data[1][0] - self.data[0][0]) / 3.w = 0.3for (t,open,close, vol) in self.data:if open < close:p.setBrush(pg.mkBrush('r'))else:p.setBrush(pg.mkBrush('g'))p.drawRect(QtCore.QRectF(t - w, 0, w * 2, vol))p.end()def paint(self, p, *args):p.drawPicture(0, 0, self.picture)def boundingRect(self):## boundingRect _must_ indicate the entire area that will be drawn on## or else we will get artifacts and possibly crashing.## (in this case, QPicture does all the work of computing the bouning rect for us)return QtCore.QRectF(self.picture.boundingRect())主界面，显示日周月对齐的K线图
class ExampleWidget(QtWidgets.QWidget):def __init__(self):super().__init__()self.init_data()self.init_ui()passdef init_data(self):self.v_list = []self.vline_list = []self.hline_list = []self.label_list = []self.data_list = []self.show_map: Dict = {}self.mark_data_map: Dict = {}self.mark_item_map: Dict = {}self.graph_type_candle: str = 'candle'self.graph_type_curve: str = 'curve'self.graph_type_bar: str = 'bar'self.tip_show_yeah: bool = Falsepassdef init_ui(self):self.setMinimumWidth(800)self.setMinimumHeight(600)origin_btn = QtWidgets.QPushButton('返回原位')origin_btn.clicked.connect(self.origin_btn_clicked)self.tip_checkbox = QtWidgets.QCheckBox('数据提示框')self.tip_checkbox.stateChanged.connect(self.tip_checkbox_stateChanged)layout1 = QtWidgets.QHBoxLayout()layout1.addWidget(origin_btn)layout1.addWidget(self.tip_checkbox)layout1.addStretch(1)self.pw_layout = QtWidgets.QVBoxLayout()self.scroll_area = QtWidgets.QScrollArea()self.scroll_area.setWidgetResizable(True)self.scroll_area.setVerticalScrollBarPolicy(QtCore.Qt.ScrollBarAlwaysOn)self.scroll_area.setViewportMargins(20,20,20,20)layout = QtWidgets.QVBoxLayout()layout.addLayout(layout1)layout.addWidget(self.scroll_area)self.setLayout(layout)passdef focus_location(self,left_x:int,right_x:int,y_data:List):if self.v_list:v0 = self.v_list[0]v0.setXRange(min=left_x,max=right_x)for i,v in enumerate(self.v_list):y_node = y_data[i]v.setYRange(min=y_node[0],max=y_node[1])passdef restart_init(self):self.v_list.clear()self.vline_list.clear()self.hline_list.clear()self.label_list.clear()self.data_list.clear()self.show_map.clear()passdef origin_btn_clicked(self):if self.v_list:v0 = self.v_list[0]v0.enableAutoRange() # 还原到初始状态passdef tip_checkbox_stateChanged(self):if self.tip_checkbox.isChecked():self.tip_show_yeah = Trueelse:self.tip_show_yeah = Falsepassdef set_data(self,data:Dict):self.restart_init()self.show_map = data['show_map']self.data_list = data['data_list']self.fill_viewbox()passdef fill_viewbox(self):pw = pg.GraphicsLayoutWidget(show=False)h_i = 0for i,node in enumerate(self.data_list):'''height_numdata_list:[{type:candle,curve,bardata:[]},{}]'''v = pw.addViewBox(row=i, col=0)v.setMouseEnabled(x=True, y=False)v.setAutoVisible(x=False, y=True)height_num = node['height_num']node_yMin = node['yMin']node_yMax = node['yMax']pw.ci.layout.setRowMinimumHeight(i, height_num)v.setLimits(yMin=node_yMin, yMax=node_yMax)h_i += height_numif i>0:v.setXLink(self.v_list[0])node_data_list = node['data_list']for one in node_data_list:one_type = one['type']one_data = one['data']if one_type == self.graph_type_candle:candle = CandlestickItem(one_data)v.addItem(candle)elif one_type == self.graph_type_curve:curve = pg.PlotCurveItem(x=one_data['x'],y=one_data['y'],pen=(0,0,255))v.addItem(curve)passelif one_type == self.graph_type_bar:bar = VOLtickItem(one_data)v.addItem(bar)passelse:passpassvLine = pg.InfiniteLine(angle=90, movable=False)hLine = pg.InfiniteLine(angle=0, movable=False)label = pg.TextItem()v.addItem(vLine, ignoreBounds=True)v.addItem(hLine, ignoreBounds=True)v.addItem(label, ignoreBounds=True)v.scene().sigMouseMoved.connect(self.mouseMoved)self.v_list.append(v)self.vline_list.append(vLine)self.hline_list.append(hLine)self.label_list.append(label)passpw.setFixedHeight(h_i+50)self.fill_pw_widget(pw)passdef fill_pw_widget(self,pw):# print(pw.width(),pw.height())# 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()passsc_child_widget = self.scroll_area.takeWidget()if sc_child_widget is not None:sc_child_widget.deleteLater()# for item in self.pw_widgets_list:# self.pw_layout.addWidget(item)self.pw_layout.addWidget(pw)one_sc_child_widget = QtWidgets.QWidget()one_sc_child_widget.setLayout(self.pw_layout)self.scroll_area.setWidget(one_sc_child_widget)passdef mouseMoved(self,evt):pos = evtfor la in self.label_list:la.setHtml("")la.setPos(-1, -1)for i,v in enumerate(self.v_list):if v.sceneBoundingRect().contains(pos):mousePoint = v.mapSceneToView(pos)index = int(mousePoint.x())hline = self.hline_list[i]hline.setPos(mousePoint.y())for hi,hl in enumerate(self.hline_list):if hi!=i:hl.setPos(-1)passfor vl in self.vline_list:vl.setPos(mousePoint.x())if self.tip_show_yeah and self.show_map.get(str(index)):node_one = self.show_map[str(index)]node_str = "<span style='font-size:12pt;color:red'>"n_i = 1for k,v in node_one.items():if n_i%7 == 0:node_str += f"{k}:{v}<br/>"else:node_str += f"{k}:{v} "n_i += 1passnode_str += "</span>"tip_label = self.label_list[i]tip_label.setHtml(node_str)tip_label.setPos(mousePoint.x(),mousePoint.y())passelse:for la in self.label_list:la.setHtml("")la.setPos(-1,-1)passbreakpasspasspass使用方法
if __name__ == '__main__':QtCore.QCoreApplication.setAttribute(QtCore.Qt.HighDpiScaleFactorRoundingPolicy.PassThrough)app = QtWidgets.QApplication(sys.argv)main_window = ExampleWidget()# main_window.show()# app.exec()day_df,week_df,month_df = temp_000()k_tip_map, three_df = temp_001(day_df.copy(),week_df.copy(),month_df.copy())one,two = temp_002(day_df.copy())three,four = temp_002(week_df.copy())five,six = temp_002(month_df.copy())base_k_data = {'show_map': k_tip_map,'data_list': [one, two, three, four, five, six]}main_window.set_data(base_k_data)main_window.show()app.exec()pass这篇关于python_PyQt5日周月K线纵向对齐显示_2_显示工具的文章就介绍到这儿，希望我们推荐的文章对编程师们有所帮助！
