def generate(df, flg, stockCode, stockName, is_gen_single):
Y_AXIS_NAMES = ['收盘价', '温度']
if flg is 'stock_A':
Y_AXIS_NAMES = ['前复权', '温度']
dates = df['date']
y_axises2 = []
y_axises2.append(df['absolute_temp'])
y_axises2.append(df['relative_temp'])
decimal = 3
y_axises2.append(df['avg_temp'].round(decimals=decimal))
y_axises2.append(df['pb'].round(decimals=decimal))
y_axises2.append(df['pe'].round(decimals=decimal))
y_axises2.append(df['roe'].round(decimals=decimal))
y_axises2.append(df['s'].round(decimals=decimal))
y_axises2.append(df['guozhai'].round(decimals=decimal))
y_axises = df["cp"]
line = Line(width=1200, title=stockName)
option = option_process(stockCode, stockName, CHART_NAMES, dates, y_axises,
y_axises2, Y_AXIS_NAMES)
# line.render('output/temp_line.html')
# line._option = getOption()
file = 'output/abs_temp_line_' + flg + '_' + stockCode + '.html'
line._option = option
if is_gen_single is True:
line.render(path=file,
template_name='template/temp_history.html',
object_name='line')
return line
def generate(df, flg, stockCode, stockName):
dates = df['date']
y_axises = []
y_axises.append(df['shouyi'])
y_axises.append(df['g_roe'])
y_axises2 = df["bp"]
line = Line(width=1200)
option = option_process(stockCode, stockName, CHART_NAMES, dates, y_axises, y_axises2)
# line.render('output/temp_line.html')
# line._option = getOption()
file = 'output/niuxiong_line_' + flg + '_' + stockCode + '.html'
line._option = option
line.render(path=file, template_name='template/temp_history2.html', object_name='line')
def generate():
df = pd.read_csv('data/temp_history.csv')
df = df.sort_index(ascending=False)
dates = df[STOCK_NAMES[0]]
names = STOCK_NAMES[1:]
y_axises = []
for name in names:
y_axises.append(df[name])
y_axises2 = df["中证全指指数"]
line = Line(width=1200)
option = option_process(CHART_NAMES, dates, y_axises, y_axises2)
# line.render('output/temp_line.html')
# line._option = getOption()
file = 'output/temp_line.html'
line._option = option
line.render(path=file,
template_name='template/temp_history.html',
object_name='line')
