def parseSelectedFoundData(self, code):
"""
:param code: 选定的基金代码
:return: None
"""
parser = parseFoundsJsFile()
parser.openFoundHistoryDataFile(code) # 根据下载到的基金js文件解析基金相信信息
self.foundHistoryData = parser.parsedFoundsData # 获得解析到的基金数据信息
# self.foudDataToShow = self.foundHistoryData
self.showSelectedFoundData(self.foundHistoryData)
def __init__(self):
self.fig = Figure()
self.ax = self.fig.add_subplot(111)
FigureCanvas.__init__(self, self.fig)
# self.setParent(parent)
FigureCanvas.setSizePolicy(self, QtWidgets.QSizePolicy.Expanding,
QtWidgets.QSizePolicy.Expanding)
FigureCanvas.updateGeometry(self)
self.fig.autofmt_xdate()
self.ax.set_title("Pure value trend")
self.ax.set_xlabel("time of data generator")
self.ax.set_ylabel('value')
# self.ax.set_ylim(Y_MIN, Y_MAX)
self.ax.xaxis.set_major_formatter(
dates.DateFormatter('%Y/%m/%d')) # tick label formatter
self.ax.xaxis.set_minor_locator(dates.MonthLocator())
self.parser = parseFoundsJsFile('001186.js')
self.parser.openFile()
times, values = self.parser.getRealTimeAndValue()
self.plot(times, values, 'r')
# self.gcf().autofmt_xdate() # 自动旋转日期标记
# 计算众数
mass = mode(values)
print("Mass is: ")
print(mass)
index = 0
massTimes = []
massValues = []
for each in values:
index += 1
if each == mass[0].tolist()[0]:
massTimes.append(times[index])
massValues.append(each)
print(index)
self.plot(massTimes, massValues, 'b')
self.ax.legend()
def parseAllFoundsDataToCsv(self, list):
parser = parseFoundsJsFile()
for each in list:
try:
parser.openFoundHistoryDataFile(each)
parser.getNatualTimeAndValue(True, each, 'csvFile\\')
except Exception as e:
print(e)
print('解析：%s 基金文件失败，请检查' % each)
continue
print('解析所有基金完毕...')
self.analyseAllFoudsDataFromCsv(list)
def showFoundTrendData(self, foundCode='001186'):
self.ax.set_title("Pure value trend")
self.ax.set_xlabel("time of data generator")
self.ax.set_ylabel('value')
# self.ax.set_ylim(Y_MIN, Y_MAX)
self.ax.xaxis.set_major_formatter(
dates.DateFormatter('%Y/%m/%d')) # tick label formatter
self.ax.xaxis.set_minor_locator(dates.MonthLocator())
self.parser = parseFoundsJsFile()
self.parser.openFoundHistoryDataFile(foundCode)
times, values = self.parser.getNatualTimeAndValue()
self.plot(times, values, 'r')
# self.gcf().autofmt_xdate() # 自动旋转日期标记
# 计算众数
mass = mode(values)
print("Mass is: ")
print(mass)
index = 0
massTimes = []
massValues = []
for each in values:
index += 1
if each == mass[0].tolist()[0]:
massTimes.append(times[index])
massValues.append(each)
print(index)
self.plot(massTimes, massValues, 'b')
self.ax.legend()
daily_data = pd.concat([index_data, temp[['总基金份额', '总理财份额', '累计定投资金']]],
axis=1,
join='inner')
daily_data['基金定投资金'] = daily_data['value'] * daily_data['总基金份额']
# daily_data['基金定投资金'] = daily_data['value'] / 1000 * daily_data['总基金份额']
daily_data['理财定投资金'] = daily_data['无风险收益_净值'] * daily_data['总理财份额']
return daily_data
def custom_resampler(array_like):
return np.sum(array_like) + 5
if __name__ == '__main__':
parser = parseFoundsJsFile()
foundCode = '110022'
aa = parser.parseFoundsCompanyListData(
saveFlag=True, fileDir='../AnalyseFounds/foundJsFile/')
parser.parseFoundRealTimeData(foundCode,
fileDir='../AnalyseFounds/foundJsFile/')
parser.openFoundHistoryDataFile(foundCode,
fileDir='../AnalyseFounds/foundJsFile/')
parser.getNatualTimeAndValue(True, foundCode)
# 运行程序
# df = automatic_investment_plan('sh000001', '2013-01-04', '2014-12-31')
foundNum = '110022'
investDays = ['first', 'median', 'last', 'min', 'max']
roiList = []