def plot(self, code=None):
if code is None:
data=[]
axis=[]
for dates,row in self.data.iterrows():
open,high,low,close=row[1:5]
datas=[open,close,low,high]
axis.append(dates[0])
data.append(datas)
path_name='.\QA_'+self.type+'_'+self.code[0]+'_'+self.if_fq+'.html'
kline=Kline(self.code[0]+'__'+self.if_fq+'__'+self.type,width=1360,height=700)
kline.add(self.code[0],axis,data,mark_point=["max","min"], is_datazoom_show=True,datazoom_orient='horizontal')
kline.render(path_name)
QA_util_log_info('The Pic has been saved to your path: %s'%path_name)
else:
data=[]
axis=[]
for dates,row in self.select_code(code).data.iterrows():
open,high,low,close=row[1:5]
datas=[open,close,low,high]
axis.append(dates[0])
data.append(datas)
path_name='.\QA_'+self.type+'_'+code+'_'+self.if_fq+'.html'
kline=Kline(code+'__'+self.if_fq+'__'+self.type,width=1360,height=700)
kline.add(code,axis,data,mark_point=["max","min"], is_datazoom_show=True,datazoom_orient='horizontal')
kline.render(path_name)
QA_util_log_info('The Pic has been saved to your path: %s'%path_name)
def create_view():
# open, close, lowest, highest]
v1 = []
kline = Kline("日K线图")
rows = SQLiteUtil.select_all()
down_flag = []
for row in rows:
down_flag.append(row[0])
v1.append([row[3], row[4], row[1], row[2]])
kline.add(
"日K",
down_flag,
v1,
mark_point=["max"],
is_datazoom_show=True,
)
kline.render(path="../view/day.html")
v1 = []
kline = Kline("7天K线图")
rows = SQLiteUtil.select_group_by_week()
down_flag = []
for row in rows:
down_flag.append(row.get("week_flag"))
v1.append([
row.get("first_price"),
row.get("last_price"),
row.get("min_price"),
row.get("max_price")
])
kline.add(
"周K",
down_flag,
v1,
mark_point=["max"],
is_datazoom_show=True,
)
kline.render(path="../view/week.html")
v1 = []
kline = Kline("30天K线图")
rows = SQLiteUtil.select_group_by_moon()
down_flag = []
for row in rows:
down_flag.append(row.get("moon_flag"))
v1.append([
row.get("first_price"),
row.get("last_price"),
row.get("min_price"),
row.get("max_price")
])
kline.add(
"月K",
down_flag,
v1,
mark_point=["max"],
is_datazoom_show=True,
)
kline.render(path="../view/moon.html")
def test_kline():
# kline_0
v1 = [[2320.26, 2320.26, 2287.3,
2362.94], [2300, 2291.3, 2288.26, 2308.38],
[2295.35, 2346.5, 2295.35, 2345.92],
[2347.22, 2358.98, 2337.35, 2363.8],
[2360.75, 2382.48, 2347.89, 2383.76],
[2383.43, 2385.42, 2371.23, 2391.82],
[2377.41, 2419.02, 2369.57, 2421.15],
[2425.92, 2428.15, 2417.58,
2440.38], [2411, 2433.13, 2403.3, 2437.42],
[2432.68, 2334.48, 2427.7, 2441.73],
[2430.69, 2418.53, 2394.22, 2433.89],
[2416.62, 2432.4, 2414.4, 2443.03],
[2441.91, 2421.56, 2418.43, 2444.8],
[2420.26, 2382.91, 2373.53, 2427.07],
[2383.49, 2397.18, 2370.61, 2397.94],
[2378.82, 2325.95, 2309.17, 2378.82],
[2322.94, 2314.16, 2308.76, 2330.88],
[2320.62, 2325.82, 2315.01, 2338.78],
[2313.74, 2293.34, 2289.89, 2340.71],
[2297.77, 2313.22, 2292.03, 2324.63],
[2322.32, 2365.59, 2308.92, 2366.16],
[2364.54, 2359.51, 2330.86, 2369.65],
[2332.08, 2273.4, 2259.25, 2333.54],
[2274.81, 2326.31, 2270.1, 2328.14],
[2333.61, 2347.18, 2321.6, 2351.44],
[2340.44, 2324.29, 2304.27, 2352.02],
[2326.42, 2318.61, 2314.59, 2333.67],
[2314.68, 2310.59, 2296.58, 2320.96],
[2309.16, 2286.6, 2264.83, 2333.29],
[2282.17, 2263.97, 2253.25, 2286.33],
[2255.77, 2270.28, 2253.31, 2276.22]]
kline = Kline("K 线图示例")
kline.add("日K", ["2017/7/{}".format(i + 1) for i in range(31)], v1)
kline.show_config()
kline.render()
# kline_1
kline = Kline("K 线图示例")
kline.add("日K", ["2017/7/{}".format(i + 1) for i in range(31)],
v1,
mark_point=["max"],
is_datazoom_show=True)
kline.show_config()
kline.render()
# kline_2
kline = Kline("K 线图示例")
kline.add("日K", ["2017/7/{}".format(i + 1) for i in range(31)],
v1,
mark_point=["max"],
is_datazoom_show=True,
datazoom_orient='vertical')
kline.show_config()
kline.render()
def plot(self, code=None):
'plot the market_data'
if code is None:
path_name = '.' + os.sep + 'QA_' + self.type + \
'_codepackage_' + self.if_fq + '.html'
kline = Kline('CodePackage_' + self.if_fq + '_' + self.type,
width=1360,
height=700,
page_title='QUANTAXIS')
data_splits = self.splits()
for i_ in range(len(data_splits)):
data = []
axis = []
for dates, row in data_splits[i_].data.iterrows():
open, high, low, close = row[1:5]
datas = [open, close, low, high]
axis.append(dates[0])
data.append(datas)
kline.add(self.code[i_],
axis,
data,
mark_point=["max", "min"],
is_datazoom_show=True,
datazoom_orient='horizontal')
kline.render(path_name)
webbrowser.open(path_name)
QA_util_log_info('The Pic has been saved to your path: %s' %
path_name)
else:
data = []
axis = []
for dates, row in self.select_code(code).data.iterrows():
open, high, low, close = row[1:5]
datas = [open, close, low, high]
axis.append(dates[0])
data.append(datas)
path_name = '.{}QA_{}_{}_{}.html'.format(os.sep, self.type, code,
self.if_fq)
kline = Kline('{}__{}__{}'.format(code, self.if_fq, self.type),
width=1360,
height=700,
page_title='QUANTAXIS')
kline.add(code,
axis,
data,
mark_point=["max", "min"],
is_datazoom_show=True,
datazoom_orient='horizontal')
kline.render(path_name)
webbrowser.open(path_name)
QA_util_log_info(
'The Pic has been saved to your path: {}'.format(path_name))
def __init__(self):
self.kline = Kline()
self.kline2 = Kline()
# 初始化一个指标线
self.line = Line()
self.line_long_win = Line()
self.line_long_loss = Line()
self.line_short_win = Line()
self.line_short_loss = Line()
def plot_datastruct(__stock_hq_base, code=None):
if code is None:
path_name = '.' + os.sep + 'QA_' + __stock_hq_base.type + \
'_codepackage_' + __stock_hq_base.if_fq + '.html'
kline = Kline('CodePackage_' + __stock_hq_base.if_fq + '_' +
__stock_hq_base.type,
width=1360,
height=700,
page_title='QUANTAXIS')
data_splits = __stock_hq_base.splits()
for i_ in range(len(data_splits)):
data = []
axis = []
for dates, row in data_splits[i_].data.iterrows():
open, high, low, close = row[1:5]
datas = [open, close, low, high]
axis.append(dates[0])
data.append(datas)
kline.add(__stock_hq_base.code[i_],
axis,
data,
mark_point=["max", "min"],
is_datazoom_show=True,
datazoom_orient='horizontal')
kline.render(path_name)
webbrowser.open(path_name)
QA_util_log_info('The Pic has been saved to your path: %s' % path_name)
else:
data = []
axis = []
for dates, row in __stock_hq_base.select_code(code).data.iterrows():
open, high, low, close = row[1:5]
datas = [open, close, low, high]
axis.append(dates[0])
data.append(datas)
path_name = '.' + os.sep + 'QA_' + __stock_hq_base.type + \
'_' + code + '_' + __stock_hq_base.if_fq + '.html'
kline = Kline(code + '__' + __stock_hq_base.if_fq + '__' +
__stock_hq_base.type,
width=1360,
height=700,
page_title='QUANTAXIS')
kline.add(code,
axis,
data,
mark_point=["max", "min"],
is_datazoom_show=True,
datazoom_orient='horizontal')
kline.render(path_name)
webbrowser.open(path_name)
QA_util_log_info('The Pic has been saved to your path: %s' % path_name)
def kxian4_fun():
from pyecharts import Kline
api = ts.pro_api(
'acfe91c33583e4f34c757cfc5360f7e51eefd9f0c259f4204ea4720f')
# 取000001的前复权行情
df = ts.pro_bar(pro_api=api,
ts_code='000001.SZ',
adj='qfq',
start_date='20181201',
end_date='20181231')
df = df.sort_index(axis=0)
df1 = df[['open', 'high', 'open', 'close']]
v1 = df1.values.tolist()
kline = Kline("K 线图示例")
aa = [i for i in df1.index.format()]
kline.add(
"日K",
aa,
v1,
mark_point=["max"],
is_datazoom_show=True,
datazoom_orient="vertical",
)
return kline
def kline_plot(self,ktype=0):
df=self.cal_hadata()
#画K线图数据
date = df.index.strftime('%Y%m%d').tolist()
if ktype==0:
k_value = df[['adjopen','adjclose', 'adjlow','adjhigh']].values
else:
k_value = df[['ha_open','ha_close', 'ha_low', 'ha_high']].values
#引入pyecharts画图使用的是0.5.11版本，新版命令需要重写
kline = Kline(self.name+'行情走势')
kline.add('日K线图', date, k_value,
is_datazoom_show=True,is_splitline_show=False)
#加入5、20日均线
df['ma20']=df.adjclose.rolling(20).mean()
df['ma5']=df.adjclose.rolling(5).mean()
line = Line()
v0=df['ma5'].round(2).tolist()
v=df['ma20'].round(2).tolist()
line.add('5日均线', date,v0,
is_symbol_show=False,line_width=2)
line.add('20日均线', date,v,
is_symbol_show=False,line_width=2)
#成交量
bar = Bar()
bar.add('成交量', date, df['vol'],tooltip_tragger='axis',
is_legend_show=False, is_yaxis_show=False,
yaxis_max=5*max(df['vol']))
overlap = Overlap()
overlap.add(kline)
overlap.add(line,)
overlap.add(bar,yaxis_index=1, is_add_yaxis=True)
return overlap
def candLestick_mode():
v1 = [[2320.26, 2320.26, 2287.3,
2362.94], [2300, 2291.3, 2288.26, 2308.38],
[2295.35, 2346.5, 2295.35, 2345.92],
[2347.22, 2358.98, 2337.35, 2363.8],
[2360.75, 2382.48, 2347.89, 2383.76],
[2383.43, 2385.42, 2371.23, 2391.82],
[2377.41, 2419.02, 2369.57, 2421.15],
[2425.92, 2428.15, 2417.58,
2440.38], [2411, 2433.13, 2403.3, 2437.42],
[2432.68, 2334.48, 2427.7, 2441.73],
[2430.69, 2418.53, 2394.22, 2433.89],
[2416.62, 2432.4, 2414.4, 2443.03],
[2441.91, 2421.56, 2418.43, 2444.8],
[2420.26, 2382.91, 2373.53, 2427.07],
[2383.49, 2397.18, 2370.61, 2397.94],
[2378.82, 2325.95, 2309.17, 2378.82],
[2322.94, 2314.16, 2308.76, 2330.88],
[2320.62, 2325.82, 2315.01, 2338.78],
[2313.74, 2293.34, 2289.89, 2340.71],
[2297.77, 2313.22, 2292.03, 2324.63],
[2322.32, 2365.59, 2308.92, 2366.16],
[2364.54, 2359.51, 2330.86, 2369.65],
[2332.08, 2273.4, 2259.25, 2333.54],
[2274.81, 2326.31, 2270.1, 2328.14],
[2333.61, 2347.18, 2321.6, 2351.44],
[2340.44, 2324.29, 2304.27, 2352.02],
[2326.42, 2318.61, 2314.59, 2333.67],
[2314.68, 2310.59, 2296.58, 2320.96],
[2309.16, 2286.6, 2264.83, 2333.29],
[2282.17, 2263.97, 2253.25, 2286.33],
[2255.77, 2270.28, 2253.31, 2276.22]]
kline = Kline("K 线图示例")
kline.add("日K", ["2019/1/{}".format(i + 1) for i in range(31)], v1)
kline.render('kline.html')
def draw(code):
import pandas as pd
stock = pd.read_csv(code + '.csv',
usecols=[0, 1, 2, 3, 4, 5, 6],
encoding='gbk')
stock.head()
stock_new = stock.iloc[:180, :]
stock_new_sorted = stock_new.sort_values('日期', ascending=True)
stock_new_sorted.head()
from pyecharts import Kline
stock_code = stock_new_sorted['股票代码'][0]
stock_name = stock_new_sorted['名称'][0]
index = stock_new_sorted['日期']
v = [[o, close, lowest, highest] for o, close, lowest, highest in zip(
stock_new_sorted['开盘价'], stock_new_sorted['收盘价'],
stock_new_sorted['最低价'], stock_new_sorted['最高价'])]
kline = Kline()
kline.add(stock_name + '(' + stock_code + ')' + '日K线图',
index,
v,
mark_point=["max"],
is_datazoom_show=True)
kline.render()
def drawKline(datadf, tradeRecorddf):
datadf["datetime"] = datadf["datetime"].dt.strftime("%Y-%m-%d %H:%M:%S")
OHLC = df[["open", "close", "low", "high"]]
OHLC = OHLC.values
DATETIME = df["datetime"].values
longOrderDF = tradeRecorddf[tradeRecorddf["direction"] == "long position"]
longOrderDF = longOrderDF[["time", "deal price", "kaiping"]].values
shortOrderDF = tradeRecorddf[tradeRecorddf["direction"] == "short position"]
shortOrderDF = shortOrderDF[["time", "deal price", "kaiping"]].values
markpointlist = []
for longorders in longOrderDF:
markpointlist.append(RedArrow(longorders[0], longorders[1], longorders[2]))
for shortorders in shortOrderDF:
markpointlist.append(GreenArrow(shortorders[0], shortorders[1], shortorders[2]))
page = Page()
grid = Grid(width=1920, height=900)
kline = Kline("candlestick")
kline.add("candlestick", DATETIME, OHLC, is_datazoom_show=True, datazoom_type='inside',
datazoom_range=[90, 100], tooltip_tragger_on='mousemove|click', tooltip_axispointer_type='cross',
is_label_show=False, mark_point_raw=markpointlist)
grid.add(kline, grid_top="3%", grid_height="95%")
page.add(grid)
now = dt.datetime.now()
today = now.strftime('%Y%m%d')
time = now.strftime("%H_%M_%S")
home = os.environ['HOME']
page.render(home + "/Pictures/" + today + "/" + "plotKlineChartandSignal" + time + ".html")
def grids(data):
kline = Kline(data.symbol[0])
kline.add(
'',
data.index,
data.loc[:, ['open', 'close', 'low', 'high']].values,
mark_line=['max', 'min'],
mark_line_valuedim=['highest', 'lowest'],
is_datazoom_show=True,
datazoom_xaxis_index=[0, 1],
)
turnover = Bar()
turnover.add(
'',
data.index,
data['turnover'].values / pow(10, 9),
mark_line=['max', 'min'],
is_datazoom_show=True,
)
grid = Grid(page_title=data['symbol'][0], width=1800, height=900)
grid.add(kline, grid_bottom='40%')
grid.add(turnover, grid_top='65%')
grid.show_config()
return grid
def brush(data):
data = hist_sum(data)
kline = Kline()
kline.add(
'Kline',
data.index,
data.loc[:, ['open', 'close', 'low', 'high']].values,
mark_line=['max', 'min'],
mark_line_valuedim=['highest', 'lowest'],
is_datazoom_show=True,
datazoom_xaxis_index=[0, 1],
)
brush = Line()
brush.add(
'Brush',
data.index,
data.endpoint.values,
)
overlap = Overlap()
overlap.add(kline)
overlap.add(brush)
macd = Bar()
macd.add(
'MACD',
data.index,
data.hist_sum.values,
)
page = Page()
page.add(overlap)
page.add(macd)
return page
def draw_kline_pic(title: str,
labels: list,
data_package: list,
y_min: int = 0,
y_max: int = 100,
y_formatter: str = "元人民币",
path: str = './charts/k_line.html'):
"""
K线图
:param title: 画图标题
:param labels: 图例
:param data_package: 数据包
:param y_min: y轴最小值
:param y_max: y轴最大值
:param y_formatter: y轴的格式化
:param path: 保存的路径
"""
style = Style(title_top="#fff", title_pos="left", width=1920, height=900)
kline = Kline(title=title, renderer='svg', **style.init_style)
kline.add('日K',
labels,
data_package,
yaxis_min=y_min,
yaxis_max=y_max,
yaxis_formatter=y_formatter,
mark_line=["min", "max"],
mark_point=["min", "max"],
is_datazoom_show=True,
datazoom_type="both",
datazoom_range=[80, 100])
kline.render(path=path)
def test_kline_datazoom_horizontal():
kline = Kline("K 线图示例 - dataZoom 水平布局")
kline.add("日K", ["2017/7/{}".format(i + 1) for i in range(31)],
data,
mark_point=["max"],
is_datazoom_show=True)
kline.render()
def echart1(request):
template = loader.get_template('ewpyecharts.html')
line = Line("压力分析", width=1200, height=700)
attr = ['周一', '周二', '周三', '周四', '周五', '周六', '周日']
line.add("最高压力", attr, [11, 11, 15, 13, 12, 13, 10],
mark_point=["max", "min"], mark_line=["average"])
line.add("最低压力", attr, [1, -2, 2, 5, 3, 2, 0],
mark_point=["max", "min"], legend_top="50%", mark_line=["average"],
# 设置 dataZoom 控制索引为 0,1 的 x 轴，即第一个和第二个
is_datazoom_show=True, datazoom_xaxis_index=[0, 1])
v1 = [[2320.26, 2320.26, 2287.3, 2362.94],
[2300, 2291.3, 2288.26, 2308.38],
[2295.35, 2346.5, 2295.35, 2345.92],
[2347.22, 2358.98, 2337.35, 2363.8],
[2360.75, 2382.48, 2347.89, 2383.76],
[2383.43, 2385.42, 2371.23, 2391.82],
[2377.41, 2419.02, 2369.57, 2421.15],
[2425.92, 2428.15, 2417.58, 2440.38],
[2411, 2433.13, 2403.3, 2437.42],
[2432.68, 2334.48, 2427.7, 2441.73],
[2430.69, 2418.53, 2394.22, 2433.89],
[2416.62, 2432.4, 2414.4, 2443.03],
[2441.91, 2421.56, 2418.43, 2444.8],
[2420.26, 2382.91, 2373.53, 2427.07],
[2383.49, 2397.18, 2370.61, 2397.94],
[2378.82, 2325.95, 2309.17, 2378.82],
[2322.94, 2314.16, 2308.76, 2330.88],
[2320.62, 2325.82, 2315.01, 2338.78],
[2313.74, 2293.34, 2289.89, 2340.71],
[2297.77, 2313.22, 2292.03, 2324.63],
[2322.32, 2365.59, 2308.92, 2366.16],
[2364.54, 2359.51, 2330.86, 2369.65],
[2332.08, 2273.4, 2259.25, 2333.54],
[2274.81, 2326.31, 2270.1, 2328.14],
[2333.61, 2347.18, 2321.6, 2351.44],
[2340.44, 2324.29, 2304.27, 2352.02],
[2326.42, 2318.61, 2314.59, 2333.67],
[2314.68, 2310.59, 2296.58, 2320.96],
[2309.16, 2286.6, 2264.83, 2333.29],
[2282.17, 2263.97, 2253.25, 2286.33],
[2255.77, 2270.28, 2253.31, 2276.22]]
kline = Kline("考核表分析", title_top="50%")
kline.add("日K", ["2017/7/{}".format(i + 1) for i in range(31)],
v1, is_datazoom_show=True)
grid = Grid()
grid.add(line, grid_top="60%")
grid.add(kline, grid_bottom="60%")
# grid.render()
context = dict(
myechart=grid.render_embed(),
host=REMOTE_HOST,
script_list=grid.get_js_dependencies()
)
return HttpResponse(template.render(context, request))
def test_kline_user_define_markline_style():
kline = Kline("K 线图-自定义标记点风格")
kline.add("日K", DATE, data, mark_point=["min", "max"],
mark_point_symbolsize=80,
datazoom_orient='vertical',
mark_line_valuedim=['lowest', 'highest'])
kline.show_config()
kline.render()
def test_not_set():
from pyecharts import Kline
kline = Kline("K 线图-默认示例")
kline.add("日K", [], [])
kline._option["series"][0]["itemStyle"] = {"normal": {"borderColor": NULL}}
content = kline._repr_html_()
assert '"borderColor": null' in content
def kline_chart(code, k_data):
kline = Kline("{0} K 线图".format(code), width="100%")
kline.add(("日K"),
k_data['date'],
k_data[['open', 'close', 'low', 'high']].values.tolist(),
mark_point=["average"],
is_datazoom_show=True,
datazoom_xaxis_index=[0, 1])
return kline
def __init__(self,
stock_name,
jsPath='https://cdn.bootcss.com/echarts/4.1.0.rc2'):
# 使用最新的echarts js文件
online(jsPath)
# K线
self.stock_name = stock_name
self.kline = Kline(stock_name)
self.volume_bar = Bar('')
def K_line(date, v1):
kline = Kline("比特币历史价格")
kline.add(
"日K",
date,
v1,
is_datazoom_show=True,
)
return kline
def test_kline_default(patched):
fixture = "kline_options.json"
patched.return_value = "1"
kline = Kline("K 线图-默认示例")
kline.add("日K", DATE, data)
actual_options = dumps_actual_options(kline.options)
expected = get_fixture_content(fixture)
for a, b in zip(actual_options.split("\n"), expected.split("\n")):
eq_(a.strip(), b.strip())
def K_line(date, v1, name):
kline = Kline(name)
kline.add(
"日K",
date,
v1,
is_datazoom_show=True,
)
return kline
def test_kline_user_define_markline_style():
kline = Kline("K 线图示例 - 自定义标记线风格")
kline.add("日K", ["2017/7/{}".format(i + 1) for i in range(31)],
data,
mark_line=["max"],
mark_line_symbolsize=0,
datazoom_orient='vertical',
mark_line_valuedim='close')
kline.render()
def test_grid_6():
line = Line("折线图示例", width=1200, height=700)
attr = ['周一', '周二', '周三', '周四', '周五', '周六', '周日']
line.add("最高气温",
attr, [11, 11, 15, 13, 12, 13, 10],
mark_point=["max", "min"],
mark_line=["average"])
line.add("最低气温",
attr, [1, -2, 2, 5, 3, 2, 0],
mark_point=["max", "min"],
legend_top="50%",
mark_line=["average"],
is_datazoom_show=True,
datazoom_xaxis_index=[0, 1])
v1 = [[2320.26, 2320.26, 2287.3,
2362.94], [2300, 2291.3, 2288.26, 2308.38],
[2295.35, 2346.5, 2295.35, 2345.92],
[2347.22, 2358.98, 2337.35, 2363.8],
[2360.75, 2382.48, 2347.89, 2383.76],
[2383.43, 2385.42, 2371.23, 2391.82],
[2377.41, 2419.02, 2369.57, 2421.15],
[2425.92, 2428.15, 2417.58,
2440.38], [2411, 2433.13, 2403.3, 2437.42],
[2432.68, 2334.48, 2427.7, 2441.73],
[2430.69, 2418.53, 2394.22, 2433.89],
[2416.62, 2432.4, 2414.4, 2443.03],
[2441.91, 2421.56, 2418.43, 2444.8],
[2420.26, 2382.91, 2373.53, 2427.07],
[2383.49, 2397.18, 2370.61, 2397.94],
[2378.82, 2325.95, 2309.17, 2378.82],
[2322.94, 2314.16, 2308.76, 2330.88],
[2320.62, 2325.82, 2315.01, 2338.78],
[2313.74, 2293.34, 2289.89, 2340.71],
[2297.77, 2313.22, 2292.03, 2324.63],
[2322.32, 2365.59, 2308.92, 2366.16],
[2364.54, 2359.51, 2330.86, 2369.65],
[2332.08, 2273.4, 2259.25, 2333.54],
[2274.81, 2326.31, 2270.1, 2328.14],
[2333.61, 2347.18, 2321.6, 2351.44],
[2340.44, 2324.29, 2304.27, 2352.02],
[2326.42, 2318.61, 2314.59, 2333.67],
[2314.68, 2310.59, 2296.58, 2320.96],
[2309.16, 2286.6, 2264.83, 2333.29],
[2282.17, 2263.97, 2253.25, 2286.33],
[2255.77, 2270.28, 2253.31, 2276.22]]
kline = Kline("K 线图示例", title_top="50%")
kline.add("日K", ["2017/7/{}".format(i + 1) for i in range(31)],
v1,
is_datazoom_show=True)
grid = Grid()
grid.add(line, grid_top="60%")
grid.add(kline, grid_bottom="60%")
grid.render()
def kline_chart_sh(sh_index_data):
kline = Kline("上证 K 线图", width="100%", title_top="50%")
kline.add(("日K"),
sh_index_data['date'],
sh_index_data[['open', 'close', 'low', 'high']].values.tolist(),
mark_point=["average"],
is_datazoom_show=True,
datazoom_xaxis_index=[0, 1],
legend_top="50%")
return kline
def kplot(kdata,
new=True,
axes=None,
colorup='r',
colordown='g',
width=0.6,
alpha=1.0):
"""绘制K线图
:param KData kdata: K线数据
:param bool new: 是否在新窗口中显示，只在没有指定axes时生效
:param axes: 指定的坐标轴
:param colorup: the color of the rectangle where close >= open
:param colordown: the color of the rectangle where close < open
:param width: fraction of a day for the rectangle width
:param alpha: the rectangle alpha level, 透明度(0.0~1.0) 1.0为不透明
"""
if not kdata:
print("kdata is None")
return
if axes is None:
axes = create_figure() if new else gca()
title = get_draw_title(kdata)
last_record = kdata[-1]
text = u'%s 开:%.2f 高:%.2f 低:%.2f 收:%.2f 涨幅:%.2f%%' % (
last_record.datetime.date(), last_record.openPrice,
last_record.highPrice, last_record.lowPrice, last_record.closePrice,
100 *
(last_record.closePrice - kdata[-2].closePrice) / kdata[-2].closePrice)
date_list = kdata.getDatetimeList()
if kdata.getQuery().kType == KQuery.DAY:
x_list = [d.date() for d in date_list]
else:
x_list = [d.datetime() for d in date_list]
y_list = [[k.openPrice, k.closePrice, k.lowPrice, k.highPrice]
for k in kdata]
style = gcf().get_style(axes)
kline = Kline(title, text, title_pos='center', subtitle_color='#FF0000')
kline.add(None,
x_axis=x_list,
y_axis=y_list,
mark_line=["max"],
mark_line_symbolsize=0,
mark_line_valuedim='highest',
**style)
axes.add(kline)
gcf().set_xaxis(x_list)
gcf().add_axis(axes)
return gcf()
def test_kline_datazoom_vertical():
kline = Kline("K 线图-dataZoom 垂直布局")
kline.add(
"日K",
DATE,
data,
mark_line=["max"],
is_datazoom_show=True,
datazoom_orient='vertical',
)
kline.render()
def test_kline_default(patched):
patched.return_value = "1"
kline = Kline("K 线图-默认示例")
kline.add("日K", DATE, data)
actual_options = json.dumps(kline.options,
sort_keys=True,
indent=4,
cls=DefaultJsonEncoder)
expected = get_fixture_content("kline_options.json")
for a, b in zip(actual_options.split("\n"), expected.split("\n")):
eq_(a.strip(), b.strip())
def test_kline_datazoom_vertical():
kline = Kline("K 线图示例 - dataZoom 垂直布局")
kline.add(
"日K",
["2017/7/{}".format(i + 1) for i in range(31)],
data,
mark_line=["max"],
is_datazoom_show=True,
datazoom_orient='vertical',
)
kline.render()