def test_grid_four_direction():
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
bar = Bar("柱状图示例", height=720, width=1200, title_pos="65%")
bar.add("商家A", CLOTHES, v1, is_stack=True)
bar.add("商家B", CLOTHES, v2, is_stack=True, legend_pos="80%")
line = Line("折线图示例")
line.add("最高气温", WEEK, [11, 11, 15, 13, 12, 13, 10],
mark_point=["max", "min"], mark_line=["average"])
line.add("最低气温", WEEK, [1, -2, 2, 5, 3, 2, 0],
mark_point=["max", "min"], mark_line=["average"],
legend_pos="20%")
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
scatter = Scatter("散点图示例", title_top="50%", title_pos="65%")
scatter.add("scatter", v1, v2, legend_top="50%", legend_pos="80%")
es = EffectScatter("动态散点图示例", title_top="50%")
es.add("es", [11, 11, 15, 13, 12, 13, 10], [1, -2, 2, 5, 3, 2, 0],
effect_scale=6, legend_top="50%", legend_pos="20%")
grid = Grid()
grid.add(bar, grid_bottom="60%", grid_left="60%")
grid.add(line, grid_bottom="60%", grid_right="60%")
grid.add(scatter, grid_top="60%", grid_left="60%")
grid.add(es, grid_top="60%", grid_right="60%")
grid.render()
def strategy():
form = request.form
getStock = form.get('stock')
stock = getStock if getStock else "usTSLA"
getCircle = form.get('circle')
circle = getCircle if getCircle else "120"
buyStrategy = BuyTrendStrategy(stock, int(circle), 1000000)
closeDayList, closeValueList = buyStrategy.get_close_line()
buyDayList, buyValueList = buyStrategy.get_buy_point()
closeLine = Line("趋势购买策略", width="400", height="300")
closeLine.add(stock, closeDayList, closeValueList)
buyES = EffectScatter("购买点", width="400", height="300")
buyES.add("购买点",
buyDayList,
buyValueList,
symbol_size=8,
effect_scale=3,
effect_period=3,
symbol="triangle")
overlap = Overlap()
overlap.add(closeLine)
overlap.add(buyES)
return render_template(
"strategy.html",
strategyEchart=overlap.render_embed(),
host=REMOTE_HOST,
script_list=buyES.get_js_dependencies(),
)
def view(numList):
line = Line('折线图', width=2000)
atter = ['数据异常', '不及格', '及格', '良好', '优秀', '满分']
v1 = [numList[0], numList[1], numList[2], numList[3], numList[4], numList[5]]
line.add('最高成绩', atter, v1,
mark_point=['max'], # 标点最大值
mark_line=['average']) # 虚线位置是平均分
line.add('最低成绩', atter, v1,
mark_point=['min'],
legend_pos='20%')
es = EffectScatter() # 调用闪烁点
es.add('', atter, v1, effect_scale=8)
# 调用合并函数，再一个图表上输出
overlop = Overlap()
overlop.add(line)
overlop.add(es)
pie = Pie('饼图', title_pos='80%')
pie.add('', atter, v1,
radius=[60, 30], # 控制内外半径的
center=[65, 50],
legend_pos='80%',
legend_orient='vertical')
# 显示两个示例图的调用函数，不然会覆盖
grid = Grid()
grid.add(overlop, grid_right='50%')
grid.add(pie, grid_left='60%')
grid.render('abc.html')
def test_grid_four_direction():
attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
bar = Bar("柱状图示例", height=720, width=1200, title_pos="65%")
bar.add("商家A", attr, v1, is_stack=True)
bar.add("商家B", attr, v2, is_stack=True, legend_pos="80%")
line = Line("折线图示例")
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"],
mark_line=["average"], legend_pos="20%")
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
scatter = Scatter("散点图示例", title_top="50%", title_pos="65%")
scatter.add("scatter", v1, v2, legend_top="50%", legend_pos="80%")
es = EffectScatter("动态散点图示例", title_top="50%")
es.add("es", [11, 11, 15, 13, 12, 13, 10], [1, -2, 2, 5, 3, 2, 0],
effect_scale=6, legend_top="50%", legend_pos="20%")
grid = Grid()
grid.add(bar, grid_bottom="60%", grid_left="60%")
grid.add(line, grid_bottom="60%", grid_right="60%")
grid.add(scatter, grid_top="60%", grid_left="60%")
grid.add(es, grid_top="60%", grid_right="60%")
grid.render()
def test_line_es():
v1 = [5, 20, 36, 10, 10, 100]
line = Line("line-EffectScatter 示例")
line.add("", CLOTHES, v1, is_random=True)
es = EffectScatter()
es.add("", CLOTHES, v1, effect_scale=8)
overlap = Overlap()
overlap.add(line)
overlap.add(es)
overlap.render()
def test_line_es():
v1 = [5, 20, 36, 10, 10, 100]
line = Line("line-EffectScatter 示例")
line.add("", CLOTHES, v1, is_random=True)
es = EffectScatter()
es.add("", CLOTHES, v1, effect_scale=8)
overlap = Overlap()
overlap.add(line)
overlap.add(es)
overlap.render()
def test_grid_left_right():
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
scatter = Scatter(width=1200)
scatter.add("散点图示例", v1, v2, legend_pos="70%")
es = EffectScatter()
es.add("动态散点图示例", [11, 11, 15, 13, 12, 13, 10], [1, -2, 2, 5, 3, 2, 0],
effect_scale=6, legend_pos="20%")
grid = Grid()
grid.add(scatter, grid_left="60%")
grid.add(es, grid_right="60%")
grid.render()
def test_grid_left_right():
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
scatter = Scatter(width=1200)
scatter.add("散点图示例", v1, v2, legend_pos="70%")
es = EffectScatter()
es.add("动态散点图示例", [11, 11, 15, 13, 12, 13, 10], [1, -2, 2, 5, 3, 2, 0],
effect_scale=6, legend_pos="20%")
grid = Grid()
grid.add(scatter, grid_left="60%")
grid.add(es, grid_right="60%")
grid.render()
def effectscatterByInd(title, datas, size=None):
# import random
# data = [random.randint(0, 100) for _ in range(80)]
range_color = ['#313695', '#4575b4', '#74add1', '#abd9e9', '#e0f3f8', '#ffffbf',
'#fee090', '#fdae61', '#f46d43', '#d73027', '#a50026']
if size is None:
scatter = EffectScatter(
title,
width=320,
height=180,
title_pos="center",
# background_color='#f0f0f0',
)
else:
scatter = EffectScatter(
title,
width=size['width'],
height=size['height'],
title_pos="center",
# background_color='#f0f0f0',
)
for _val in datas:
_effect_scale = 3.
_symbol_size = 3.
if "high" in _val:
_effect_scale += 1.5
_symbol_size += 8.
elif "norm" in _val:
_effect_scale += 1.
_symbol_size += 5.
else:
logging.log(logging.WARN, u">>> effectscatterByInd: %s" % datas[_val]['label'])
scatter.add("", datas[_val]['x'], datas[_val]['y'],
is_visualmap=False,
visual_range_color=range_color,
effect_scale=_effect_scale,
symbol_size=_symbol_size,
)
scatter.options['toolbox']['show'] = False
scatter.options['xAxis'][0]['show'] = False
scatter.options['yAxis'][0]['show'] = False
return scatter.render_embed()
def effectscatter(title, datas, size=None):
# import random
# data = [random.randint(0, 100) for _ in range(80)]
range_color = ['#313695', '#4575b4', '#74add1', '#abd9e9', '#e0f3f8', '#ffffbf',
'#fee090', '#fdae61', '#f46d43', '#d73027', '#a50026']
if size is None:
scatter = EffectScatter(
title,
width=320,
height=180,
title_pos="center",
background_color='#f0f0f0',
)
else:
scatter = EffectScatter(
title,
width=size['width'],
height=size['height'],
title_pos="center",
background_color='#f0f0f0',
)
_scale = 1.5
for _data in datas:
if "v" not in _data:
scatter.add("", _data['x'], _data['y'],
is_visualmap=False,
visual_range_color=range_color,
mark_line=['average'],
mark_point=['max', 'min'],
effect_scale=_scale,
symbol_size=5,
)
_scale += 1.
else:
scatter.add("", _data['x'], _data['y'],
is_visualmap=False,
# visual_range_color=range_color,
mark_line=['average'],
mark_point=['max', 'min'],
effect_scale=1.5 + float(_data['v'])/40.,
symbol_size=3+_data['v']/3,
)
scatter.options['toolbox']['show'] = False
return scatter.render_embed()
def duotu2_fun():
attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
bar = Bar("柱状图示例", title_pos="65%")
bar.add("商家A", attr, v1, is_stack=True)
bar.add("商家B", attr, v2, is_stack=True, legend_pos="80%")
line = Line("折线图示例")
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"],
mark_line=["average"],
legend_pos="20%",
)
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
scatter = Scatter("散点图示例", title_top="50%", title_pos="65%")
scatter.add("scatter", v1, v2, legend_top="50%", legend_pos="80%")
es = EffectScatter("动态散点图示例", title_top="50%")
es.add(
"es",
[11, 11, 15, 13, 12, 13, 10],
[1, -2, 2, 5, 3, 2, 0],
effect_scale=6,
legend_top="50%",
legend_pos="20%",
)
grid = Grid(height=720, width=1200)
grid.add(bar, grid_bottom="60%", grid_left="60%")
grid.add(line, grid_bottom="60%", grid_right="60%")
grid.add(scatter, grid_top="60%", grid_left="60%")
grid.add(es, grid_top="60%", grid_right="60%")
return grid
def test_overlap_es_scatter():
v1 = [10, 20, 30, 40, 50, 60]
v2 = [30, 30, 30, 30, 30, 30]
v3 = [50, 50, 50, 50, 50, 50]
v4 = [10, 10, 10, 10, 10, 10]
es = EffectScatter("Scatter-EffectScatter 示例")
es.add("es", v1, v2)
scatter = Scatter()
scatter.add("scatter", v1, v3)
es_1 = EffectScatter()
es_1.add("es_1", v1, v4, symbol="pin", effect_scale=5)
overlap = Overlap()
overlap.add(es)
overlap.add(scatter)
overlap.add(es_1)
overlap.render()
def get_number_experience(self, kw_num=10):
sql = 'select experience, sum(number) from job group by experience order by sum(number) desc'
res = self.db.execute_sql(sql)[0]
columns = []
data = []
for i in range(min(len(res), kw_num)):
columns.append(res[i][0])
data.append(res[i][1])
es = EffectScatter(background_color='white', title_text_size=25, width=1000, height=600)
es.add('工作经验与需求散点图', columns, data, symbol='triangle', effect_scale=5.5)
es.render(path="D:/编程练习题/datasite/test/templates/charts/number.html")
def test_overlap_es_scatter():
v1 = [10, 20, 30, 40, 50, 60]
v2 = [30, 30, 30, 30, 30, 30]
v3 = [50, 50, 50, 50, 50, 50]
v4 = [10, 10, 10, 10, 10, 10]
es = EffectScatter("Scatter-EffectScatter 示例")
es.add("es", v1, v2)
scatter = Scatter()
scatter.add("scatter", v1, v3)
es_1 = EffectScatter()
es_1.add("es_1", v1, v4, symbol='pin', effect_scale=5)
overlap = Overlap()
overlap.add(es)
overlap.add(scatter)
overlap.add(es_1)
overlap.render()
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"],
mark_line=["average"],
legend_pos="20%",
)
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
scatter = Scatter("散点图示例", title_top="50%", title_pos="65%")
scatter.add("scatter", v1, v2, legend_top="50%", legend_pos="80%")
es = EffectScatter("动态散点图示例", title_top="50%")
es.add(
"es",
[11, 11, 15, 13, 12, 13, 10],
[1, -2, 2, 5, 3, 2, 0],
effect_scale=6,
legend_top="50%",
legend_pos="20%",
)
grid = Grid()
grid.add(bar, grid_bottom="60%", grid_left="60%")
grid.add(line, grid_bottom="60%", grid_right="60%")
grid.add(scatter, grid_top="60%", grid_left="60%")
grid.add(es, grid_top="60%", grid_right="60%")
grid.render(path="grid.pdf", delay=3)
from pyecharts import EffectScatter
v1 = [10, 20, 30, 40, 50, 60]
v2 = ['1', '20', '15', '10', '60', '133']
es = EffectScatter("动态散点图示例")
es.add("effectScatter", v1, v2,symbol_size=20, effect_scale=3.5, effect_period=3, symbol="pin")
es.render('涟漪散点1.html')
es = EffectScatter("动态散点图")
es.add("pin", [10], [10], symbol_size=20, effect_scale=3.5, effect_period=3, symbol="pin")
es.add("rect", [20], [20], symbol_size=12, effect_scale=4.5, effect_period=4,symbol="rect")
es.add("roundrec", [30], [30], symbol_size=30, effect_scale=5.5, effect_period=5,symbol="roundRect")
es.add("dimaond", [40], [40], symbol_size=10, effect_scale=6.5, effect_brushtype='fill',symbol="diamond")
es.add("arrow", [50], [50], symbol_size=16, effect_scale=5.5, effect_period=3,symbol="arrow")
es.add("triangle", [60], [60], symbol_size=6, effect_scale=2.5, effect_period=3,symbol="triangle")
es.render('涟漪散点2.html')
def test_effectscatter():
# effectSactter_0
v1 = [10, 20, 30, 40, 50, 60]
v2 = [25, 20, 15, 10, 60, 33]
es = EffectScatter("动态散点图示例")
es.add("effectScatter", v1, v2)
es.render()
# effectScatter_1
es = EffectScatter("动态散点图各种图形示例")
es.add("", [10], [10], symbol_size=20, effect_scale=3.5, effect_period=3, symbol="pin")
es.add("", [20], [20], symbol_size=12, effect_scale=4.5, effect_period=4, symbol="rect")
es.add("", [30], [30], symbol_size=30, effect_scale=5.5, effect_period=5, symbol="roundRect")
es.add("", [40], [40], symbol_size=10, effect_scale=6.5, effect_brushtype='fill', symbol="diamond")
es.add("", [50], [50], symbol_size=16, effect_scale=5.5, effect_period=3, symbol="arrow")
es.add("", [60], [60], symbol_size=6, effect_scale=2.5, effect_period=3, symbol="triangle")
es.render()
def test_effectscatter():
# effectSactter_0
v1 = [10, 20, 30, 40, 50, 60]
v2 = [25, 20, 15, 10, 60, 33]
es = EffectScatter("动态散点图示例")
es.add("effectScatter", v1, v2)
es.render()
# effectScatter_1
es = EffectScatter("动态散点图各种图形示例")
es.add("", [10], [10],
symbol_size=20,
effect_scale=3.5,
effect_period=3,
symbol="pin")
es.add("", [20], [20],
symbol_size=12,
effect_scale=4.5,
effect_period=4,
symbol="rect")
es.add("", [30], [30],
symbol_size=30,
effect_scale=5.5,
effect_period=5,
symbol="roundRect")
es.add("", [40], [40],
symbol_size=10,
effect_scale=6.5,
effect_brushtype='fill',
symbol="diamond")
es.add("", [50], [50],
symbol_size=16,
effect_scale=5.5,
effect_period=3,
symbol="arrow")
es.add("", [60], [60],
symbol_size=6,
effect_scale=2.5,
effect_period=3,
symbol="triangle")
es.render()
def test_page_grid_timeline_overlap():
# Grid
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
bar = Bar("柱状图示例", height=720, width=1200, title_pos="65%")
bar.add("商家A", CLOTHES, v1, is_stack=True)
bar.add("商家B", CLOTHES, v2, is_stack=True, legend_pos="80%")
line = Line("折线图示例")
line.add(
"最高气温",
WEEK,
[11, 11, 15, 13, 12, 13, 10],
mark_point=["max", "min"],
mark_line=["average"],
)
line.add(
"最低气温",
WEEK,
[1, -2, 2, 5, 3, 2, 0],
mark_point=["max", "min"],
mark_line=["average"],
legend_pos="20%",
)
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
scatter = Scatter("散点图示例", title_top="50%", title_pos="65%")
scatter.add("scatter", v1, v2, legend_top="50%", legend_pos="80%")
es = EffectScatter("动态散点图示例", title_top="50%")
es.add(
"es",
[11, 11, 15, 13, 12, 13, 10],
[1, -2, 2, 5, 3, 2, 0],
effect_scale=6,
legend_top="50%",
legend_pos="20%",
)
grid = Grid()
grid.add(bar, grid_bottom="60%", grid_left="60%")
grid.add(line, grid_bottom="60%", grid_right="60%")
grid.add(scatter, grid_top="60%", grid_left="60%")
grid.add(es, grid_top="60%", grid_right="60%")
# Timeline
bar_1 = Bar("2012 年销量", "数据纯属虚构")
bar_1.add("春季", CLOTHES, [randint(10, 100) for _ in range(6)])
bar_1.add("夏季", CLOTHES, [randint(10, 100) for _ in range(6)])
bar_1.add("秋季", CLOTHES, [randint(10, 100) for _ in range(6)])
bar_1.add("冬季", CLOTHES, [randint(10, 100) for _ in range(6)])
bar_2 = Bar("2013 年销量", "数据纯属虚构")
bar_2.add("春季", CLOTHES, [randint(10, 100) for _ in range(6)])
bar_2.add("夏季", CLOTHES, [randint(10, 100) for _ in range(6)])
bar_2.add("秋季", CLOTHES, [randint(10, 100) for _ in range(6)])
bar_2.add("冬季", CLOTHES, [randint(10, 100) for _ in range(6)])
bar_3 = Bar("2014 年销量", "数据纯属虚构")
bar_3.add("春季", CLOTHES, [randint(10, 100) for _ in range(6)])
bar_3.add("夏季", CLOTHES, [randint(10, 100) for _ in range(6)])
bar_3.add("秋季", CLOTHES, [randint(10, 100) for _ in range(6)])
bar_3.add("冬季", CLOTHES, [randint(10, 100) for _ in range(6)])
bar_4 = Bar("2015 年销量", "数据纯属虚构")
bar_4.add("春季", CLOTHES, [randint(10, 100) for _ in range(6)])
bar_4.add("夏季", CLOTHES, [randint(10, 100) for _ in range(6)])
bar_4.add("秋季", CLOTHES, [randint(10, 100) for _ in range(6)])
bar_4.add("冬季", CLOTHES, [randint(10, 100) for _ in range(6)])
bar_5 = Bar("2016 年销量", "数据纯属虚构", height=720, width=1200)
bar_5.add("春季", CLOTHES, [randint(10, 100) for _ in range(6)])
bar_5.add("夏季", CLOTHES, [randint(10, 100) for _ in range(6)])
bar_5.add("秋季", CLOTHES, [randint(10, 100) for _ in range(6)])
bar_5.add(
"冬季",
CLOTHES,
[randint(10, 100) for _ in range(6)],
is_legend_show=True,
)
timeline = Timeline(is_auto_play=True, timeline_bottom=0)
timeline.add(bar_1, "2012 年")
timeline.add(bar_2, "2013 年")
timeline.add(bar_3, "2014 年")
timeline.add(bar_4, "2015 年")
timeline.add(bar_5, "2016 年")
# Overlap
attr = ["{}月".format(i) for i in range(1, 13)]
v1 = [2.0, 4.9, 7.0, 23.2, 25.6, 76.7, 135.6, 162.2, 32.6, 20.0, 6.4, 3.3]
v2 = [2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 175.6, 182.2, 48.7, 18.8, 6.0, 2.3]
v3 = [2.0, 2.2, 3.3, 4.5, 6.3, 10.2, 20.3, 23.4, 23.0, 16.5, 12.0, 6.2]
bar = Bar(height=720, width=1200)
bar.add("蒸发量", attr, v1)
bar.add("降水量", attr, v2, yaxis_formatter=" ml", yaxis_max=250)
line = Line()
line.add("平均温度", attr, v3, yaxis_formatter=" °C")
overlap = Overlap()
overlap.add(bar)
overlap.add(line, yaxis_index=1, is_add_yaxis=True)
page = Page()
page.add(grid)
page.add(timeline)
page.add(overlap)
page.render()
def plot_result(cerebro, cerebro2, s='中国平安', ktype=0):
if ktype == 0:
df = get_data(s)
k_value = df[['open', 'close', 'low', 'high']].values
else:
df = cal_hadata(s) # 画K线图数据
k_value = df[['ha_open', 'ha_close', 'ha_low', 'ha_high']].values
date = df.index.strftime('%Y%m%d').tolist()
# 引入pyecharts画图使用的是0.5.11版本，新版命令需要重写
from pyecharts import Kline, Line, Bar, EffectScatter, Overlap, Grid, Page
# K线
kline = Kline(s + '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.close.rolling(20).mean()
df['ma5'] = df.close.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)
# 买卖点
scatter = EffectScatter('买卖点')
buy_order_date = []
buy_order_price = []
sell_order_date = []
sell_order_price = []
total_cash = []
total_benifit = []
for order in cerebro[0].broker.orders:
if order.isbuy():
buy_date = bt.num2date(order.dteos).isoformat()
buy_date = ''.join(buy_date.split('-'))[0:8]
buy_order_date.append(buy_date)
buy_order_price.append(int(order.executed.price))
total_cash.append(
int(cerebro[0].broker.startingcash - order.executed.value))
total_benifit.append(
int(cerebro[0].broker.cash) + int(order.executed.value))
else:
sell_date = bt.num2date(order.dteos).isoformat()
sell_date = ''.join(sell_date.split('-'))[0:8]
sell_order_date.append(sell_date)
sell_order_price.append(int(order.executed.price))
total_cash.append(
int(cerebro[0].broker.startingcash + order.executed.value))
total_benifit.append(
int(cerebro[0].broker.cash) + int(order.executed.value))
# 设置散点的形状（cricle,rect,pin,triangle）
scatter.add('Buy',
buy_order_date,
buy_order_price,
symbol='triangle',
symbol_size=16,
color='aaa')
scatter.add('Sell',
sell_order_date,
sell_order_price,
symbol='cricle',
symbol_size=16,
color='111')
# 加说明
# statistic = "收益率：" + str(cerebro.broker.getvalue()/(cerebro.broker.startingcash))
# 成交量
bar = Bar()
bar.add('成交量',
date,
df['volume'],
tooltip_tragger='axis',
is_legend_show=False,
is_yaxis_show=False,
yaxis_max=5 * max(df['volume']))
overlap = Overlap()
overlap.add(kline)
overlap.add(line, )
overlap.add(bar, yaxis_index=1, is_add_yaxis=True)
overlap.add(scatter)
line2 = Line()
# line2.add('账户现金', sorted(buy_order_date+sell_order_date), total_cash, is_symbol_show=True, line_width=2)
result_date = cerebro[0].analyzers.transactions.get_analysis()
line2.add('账户现金',
result_date['date'],
(cerebro[0].analyzers.transactions.get_analysis())['value'],
is_symbol_show=True,
line_width=2)
line2.add('沪深300账户现金',
(cerebro2[0].analyzers.transactions.get_analysis())['date'],
(cerebro2[0].analyzers.transactions.get_analysis())['value'],
is_symbol_show=True,
line_width=2)
page = Page()
page.add(overlap)
page.add(line2)
return page.render(s + '.html')
def genetate_trade_history_html(tag, df, nowdate, begin_date, end_date):
ypos_b = []
ypos_e = []
xpos_b = []
xpos_e = []
es = EffectScatter("買賣點標示")
sel_df = df[df.loc[:, "date"] <= nowdate].tail(250).set_index('date')
if (len(begin_date) == 0):
return
#print (lno(),sel_df)
#print (lno(),sel_df.head())
if tag == 'buy':
prev_date = begin_date[0]
cnt = 0
for i in begin_date:
try:
y_pos = sel_df.at[i, 'low']
except:
print(lno(), i)
continue
if prev_date == i:
y_pos = y_pos - cnt * 30
cnt = cnt + 1
else:
cnt = 0
prev_date = i
ypos_b.append(y_pos)
xpos_b.append(kline.time64_date(i))
prev_date = end_date[0]
cnt = 0
for i in end_date:
try:
y_pos = sel_df.at[i, 'high']
except:
print(lno(), i)
continue
if prev_date == i:
y_pos = y_pos + cnt * 30
cnt = cnt + 1
else:
cnt = 0
prev_date = i
ypos_e.append(y_pos)
xpos_e.append(kline.time64_date(i))
year = str(i)[:4]
es.add("",
xpos_b,
ypos_b,
symbol_size=8,
effect_scale=1.5,
effect_period=2,
symbol="triangle")
es.add("",
xpos_e,
ypos_e,
symbol_size=8,
effect_scale=1.5,
effect_period=2,
symbol="diamond")
else:
prev_date = begin_date[0]
cnt = 0
for i in begin_date:
try:
y_pos = sel_df.at[i, 'high']
except:
print(lno(), i)
continue
if prev_date == i:
y_pos = y_pos + cnt * 30
cnt = cnt + 1
else:
cnt = 0
prev_date = i
ypos_b.append(y_pos)
xpos_b.append(kline.time64_date(i))
prev_date = end_date[0]
cnt = 0
for i in end_date:
try:
y_pos = sel_df.at[i, 'low']
except:
print(lno(), i)
continue
if prev_date == i:
y_pos = y_pos + cnt * 30
cnt = cnt + 1
else:
cnt = 0
prev_date = i
ypos_e.append(y_pos)
xpos_e.append(kline.time64_date(i))
year = str(i)[:4]
es.add("",
xpos_b,
ypos_b,
symbol_size=8,
effect_scale=1.5,
effect_period=2,
symbol="pin")
es.add("",
xpos_e,
ypos_e,
symbol_size=8,
effect_scale=1.5,
effect_period=2,
symbol="diamond")
sel_df.reset_index(inplace=True)
now_str = datetime.now().strftime('%Y%m%d')
filename = 'out/{0}_{1}_{2}.html'.format(nowdate.strftime('%Y%m%d'), tag,
now_str)
#sel_df=kline.get_stock_indexs_df(sel_df)
kline.tse_kline_js('日K', sel_df, list(sel_df), filename, es)
print(lno(), ypos_e)
def sysplot(sys, new=True, axes=None, style=1):
"""绘制系统实际买入/卖出信号
:param SystemBase sys: 系统实例
:param new: 仅在未指定axes的情况下生效，当为True时，
创建新的窗口对象并在其中进行绘制
:param axes: 指定在那个轴对象中进行绘制
:param style: 1 | 2 信号箭头绘制样式
"""
kdata = sys.getTO()
refdates = kdata.getDatetimeList()
if kdata.getQuery().kType == KQuery.DAY:
x_list = [d.date() for d in refdates]
else:
x_list = [d.datetime() for d in refdates]
date_index = dict([(d,i) for i,d in enumerate(refdates)])
if axes is None:
if new:
axes = create_figure()
kplot(kdata, axes=axes)
else:
axes = gca()
es = EffectScatter()
highest = round(max(HIGH(kdata)),2)
lowest = round(min(LOW(kdata)), 2)
height = highest - lowest
tds = sys.tm.getTradeList()
buy_dates = []
sell_dates = []
for t in tds:
if t.business == BUSINESS.BUY:
buy_dates.append(t.datetime)
elif t.business == BUSINESS.SELL:
sell_dates.append(t.datetime)
else:
pass
dates = buy_dates
buy_y_list = ['-' for i in range(len(refdates))]
for d in dates:
if d not in date_index:
continue
pos = date_index[d]
krecord = kdata[pos]
buy_y_list[pos] = round(krecord.lowPrice - height*0.02, 2)
es.add("", x_list, buy_y_list,
symbol_size=12, effect_scale=2.5, effect_period=0,symbol="triangle",
is_label_show=True,
label_formatter='B',
label_pos = 'bottom',
label_text_color = '#CD0000',
label_color=['#CD0000', '#008B00'])
dates = sell_dates
sell_y_list = ['-' for i in range(len(refdates))]
for d in dates:
if d not in date_index:
continue
pos = date_index[d]
krecord = kdata[pos]
sell_y_list[pos] = round(krecord.highPrice + height*0.015, 2)
es.add("", x_list, sell_y_list,
symbol_size=20, effect_scale=2.5, effect_period=0,symbol="pin",
is_label_show=True,
label_formatter='S',
label_pos = 'top',
label_text_color = '#008B00',
label_color=['#CD0000', '#008B00', '#008B00'])
axes.add(es)
gcf().set_xaxis(x_list)
gcf().add_axis(axes)
return gcf()
def Scatter1_fun():
v1 = [10, 20, 30, 40, 50, 60]
v2 = [25, 20, 15, 10, 60, 33]
es = EffectScatter("动态散点图示例")
es.add("effectScatter", v1, v2)
return es
def test_effectscatter_default():
v1 = [10, 20, 30, 40, 50, 60]
v2 = [25, 20, 15, 10, 60, 33]
es = EffectScatter("动态散点图示例")
es.add("effectScatter", v1, v2)
es.render()
Python 3.6.3 (v3.6.3:2c5fed8, Oct 3 2017, 17:26:49) [MSC v.1900 32 bit (Intel)] on win32
Type "copyright", "credits" or "license()" for more information.
>>> # Part 8 Create Scatter plot with pyecharts
>>> from pyecharts import EffectScatter
>>> es = EffectScatter()
>>> es.add("pin",[20],[20],symbol_size=20,effect_scale=3.5,effect_period=3,symbol="pin")
<pyecharts.charts.effectscatter.EffectScatter object at 0x00988F50>
>>> es.add("rect",[30],[30],symbol_size=12,effect_scale=4.5,effect_period=4,symbol="rect")
<pyecharts.charts.effectscatter.EffectScatter object at 0x00988F50>
>>> es.add("roundRect",[40],[40],symbol_size=30,effect_scale=5.5,effect_period=5,symbol="roundRect")
<pyecharts.charts.effectscatter.EffectScatter object at 0x00988F50>
>>> es.add("diamond_sample",[50],[50],symbol_size=10,effect_scale=6.5,effect_brushtype='fill',symbol="diamond")
<pyecharts.charts.effectscatter.EffectScatter object at 0x00988F50>
>>> es.add("arrow",[60],[60],symbol_size=16,effect_scale=5.5,effect_period=3,symbol="arrow")
<pyecharts.charts.effectscatter.EffectScatter object at 0x00988F50>
>>> es.add("triangle",[70],[70],symbol_size=12,effect_scale=4.5,effect_period=3,symbol="triangle")
<pyecharts.charts.effectscatter.EffectScatter object at 0x00988F50>
>>> es.render()
>>>
#encoding=utf-8
from pyecharts import EffectScatter
v1 = [10, 20, 30, 40, 50, 60]
v2 = [25, 20, 15, 10, 60, 33]
es = EffectScatter("动态散点图示例")
es.add("effectScatter", v1, v2)
es.render()
def draw_e_scatter():
v1 = [10, 20, 30, 40, 50, 60]
v2 = [25, 20, 15, 10, 60, 33]
es = EffectScatter("动态散点图示例")
es.add("effectScatter", v1, v2)
es.render()
def Scatter2_fun():
df = pd.DataFrame(
pd.read_csv('mycharts/class.csv', encoding='gbk', header=0))
df1 = df[df["Sex"] == "女"]
dtvalue11 = df1['Height'].values.tolist()
dtvalue12 = df1['Weight'].values.tolist()
es = EffectScatter("女生体重身高分布图")
es.add(
"",
[dtvalue11[0]],
[dtvalue12[0]],
symbol_size=20,
effect_scale=3.5,
effect_period=3,
symbol="pin",
)
es.add(
"",
[dtvalue11[1]],
[dtvalue12[1]],
symbol_size=12,
effect_scale=4.5,
effect_period=4,
symbol="rect",
)
es.add(
"",
[dtvalue11[2]],
[dtvalue12[2]],
symbol_size=30,
effect_scale=5.5,
effect_period=5,
symbol="roundRect",
)
es.add(
"",
[dtvalue11[3]],
[dtvalue12[3]],
symbol_size=10,
effect_scale=6.5,
effect_brushtype="fill",
symbol="diamond",
)
es.add(
"",
[dtvalue11[4]],
[dtvalue12[4]],
symbol_size=16,
effect_scale=5.5,
effect_period=3,
symbol="arrow",
)
es.add(
"",
[dtvalue11[5]],
[dtvalue12[5]],
symbol_size=6,
effect_scale=2.5,
effect_period=3,
symbol="triangle",
)
return es
def test_effectscatter_multiple_symbol_type():
es = EffectScatter("动态散点图各种图形示例")
es.add("", [10], [10], symbol_size=20, effect_scale=3.5,
effect_period=3, symbol="pin")
es.add("", [20], [20], symbol_size=12, effect_scale=4.5,
effect_period=4, symbol="rect")
es.add("", [30], [30], symbol_size=30, effect_scale=5.5,
effect_period=5, symbol="roundRect")
es.add("", [40], [40], symbol_size=10, effect_scale=6.5,
effect_brushtype='fill', symbol="diamond")
es.add("", [50], [50], symbol_size=16, effect_scale=5.5,
effect_period=3, symbol="arrow")
es.add("", [60], [60], symbol_size=6, effect_scale=2.5,
effect_period=3, symbol="triangle")
es.render()
def test_effectscatter_multiple_symbol_type():
es = EffectScatter("动态散点图各种图形示例")
es.add(
"",
[10],
[10],
symbol_size=20,
effect_scale=3.5,
effect_period=3,
symbol="pin",
)
es.add(
"",
[20],
[20],
symbol_size=12,
effect_scale=4.5,
effect_period=4,
symbol="rect",
)
es.add(
"",
[30],
[30],
symbol_size=30,
effect_scale=5.5,
effect_period=5,
symbol="roundRect",
)
es.add(
"",
[40],
[40],
symbol_size=10,
effect_scale=6.5,
effect_brushtype="fill",
symbol="diamond",
)
es.add(
"",
[50],
[50],
symbol_size=16,
effect_scale=5.5,
effect_period=3,
symbol="arrow",
)
es.add(
"",
[60],
[60],
symbol_size=6,
effect_scale=2.5,
effect_period=3,
symbol="triangle",
)
es.render()
def sgplot(sg, new=True, axes=None, style=1, kdata=None):
"""绘制买入/卖出信号
:param SignalBase sg: 信号指示器
:param new: 仅在未指定axes的情况下生效，当为True时，创建新的窗口对象并在其中进行绘制
:param axes: 指定在那个轴对象中进行绘制
:param style: 1 | 2 信号箭头绘制样式
:param KData kdata: 指定的KData（即信号发生器的交易对象），
如该值为None，则认为该信号发生器已经指定了交易对象，
否则，使用该参数作为交易对象
"""
if kdata is None:
kdata = sg.getTO()
else:
sg.setTO(kdata)
refdates = kdata.getDatetimeList()
if kdata.getQuery().kType == KQuery.DAY:
x_list = [d.date() for d in refdates]
else:
x_list = [d.datetime() for d in refdates]
date_index = dict([(d,i) for i,d in enumerate(refdates)])
if axes is None:
if new:
axes = create_figure()
kplot(kdata, axes=axes)
else:
axes = gca()
es = EffectScatter()
highest = round(max(HIGH(kdata)),2)
lowest = round(min(LOW(kdata)), 2)
height = highest - lowest
dates = sg.getBuySignal()
buy_y_list = ['-' for i in range(len(refdates))]
for d in dates:
if d not in date_index:
continue
pos = date_index[d]
krecord = kdata[pos]
buy_y_list[pos] = round(krecord.lowPrice - height*0.02, 2)
es.add("", x_list, buy_y_list,
symbol_size=12, effect_scale=2.5, effect_period=0,symbol="triangle",
is_label_show=True,
label_formatter='B',
label_pos = 'bottom',
label_text_color = '#CD0000',
label_color=['#CD0000', '#008B00'])
dates = sg.getSellSignal()
sell_y_list = ['-' for i in range(len(refdates))]
for d in dates:
if d not in date_index:
continue
pos = date_index[d]
krecord = kdata[pos]
sell_y_list[pos] = round(krecord.highPrice + height*0.015, 2)
es.add("", x_list, sell_y_list,
symbol_size=20, effect_scale=2.5, effect_period=0,symbol="pin",
is_label_show=True,
label_formatter='S',
label_pos = 'top',
label_text_color = '#008B00',
label_color=['#CD0000', '#008B00', '#008B00'])
axes.add(es)
gcf().set_xaxis(x_list)
gcf().add_axis(axes)
return gcf()
def test_effectscatter_splitline():
es = EffectScatter("动态散点图各种图形示例")
es.add("", [10], [10])
assert es.options["xAxis"][0]["splitLine"]["show"] is True
def create_charts():
page = Page()
attr = ['A', 'B', 'C', 'D', 'E', 'F']
v1 = [10, 20, 30, 40, 50, 60]
v2 = [38, 28, 58, 48, 78, 68]
bar = Bar("折线图-柱状图叠加")
bar.add("bar", attr, v1)
line = Line()
line.add("line", attr, v2)
chart = Overlap(width=WIDTH, height=HEIGHT)
chart.add(bar)
chart.add(line)
page.add(chart)
v1 = [10, 20, 30, 40, 50, 60]
v2 = [30, 30, 30, 30, 30, 30]
v3 = [50, 50, 50, 50, 50, 50]
v4 = [10, 10, 10, 10, 10, 10]
es = EffectScatter("散点图-动态散点图叠加")
es.add("es", v1, v2)
scatter = Scatter()
scatter.add("scatter", v1, v3)
es_1 = EffectScatter()
es_1.add("es_1", v1, v4, symbol='pin', effect_scale=5)
chart = Overlap(width=WIDTH, height=HEIGHT)
chart.add(es)
chart.add(scatter)
chart.add(es_1)
page.add(chart)
attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
v1 = [5, 20, 36, 10, 10, 100]
line = Line("折线图-动态散点图叠加")
line.add("", attr, v1, is_random=True)
es = EffectScatter()
es.add("", attr, v1, effect_scale=8)
overlap = Overlap(width=WIDTH, height=HEIGHT)
overlap.add(line)
overlap.add(es)
page.add(overlap)
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]]
attr = ["2017/7/{}".format(i + 1) for i in range(31)]
kline = Kline("K 线图-折线图叠加")
kline.add("日K", attr, v1)
line_1 = Line()
line_1.add("line-1", attr, [random.randint(2400, 2500) for _ in range(31)])
line_2 = Line()
line_2.add("line-2", attr, [random.randint(2400, 2500) for _ in range(31)])
chart = Overlap(width=WIDTH, height=HEIGHT)
chart.add(kline)
chart.add(line_1)
chart.add(line_2)
page.add(chart)
attr = ["{}月".format(i) for i in range(1, 13)]
v1 = [2.0, 4.9, 7.0, 23.2, 25.6, 76.7, 135.6, 162.2, 32.6, 20.0, 6.4, 3.3]
v2 = [2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 175.6, 182.2, 48.7, 18.8, 6.0, 2.3]
v3 = [2.0, 2.2, 3.3, 4.5, 6.3, 10.2, 20.3, 23.4, 23.0, 16.5, 12.0, 6.2]
bar = Bar("多 Y 轴叠加")
bar.add("蒸发量", attr, v1)
bar.add("降水量", attr, v2, yaxis_formatter=" ml", yaxis_max=250)
line = Line()
line.add("平均温度", attr, v3, yaxis_formatter=" °C")
chart = Overlap(width=WIDTH, height=HEIGHT)
chart.add(bar)
chart.add(line, yaxis_index=1, is_add_yaxis=True)
page.add(chart)
return page
def sysplot(sys, new=True, axes=None, style=1):
"""绘制系统实际买入/卖出信号
:param SystemBase sys: 系统实例
:param new: 仅在未指定axes的情况下生效，当为True时，
创建新的窗口对象并在其中进行绘制
:param axes: 指定在那个轴对象中进行绘制
:param style: 1 | 2 信号箭头绘制样式
"""
kdata = sys.getTO()
refdates = kdata.getDatetimeList()
if kdata.getQuery().kType == KQuery.DAY:
x_list = [d.date() for d in refdates]
else:
x_list = [d.datetime() for d in refdates]
date_index = dict([(d,i) for i,d in enumerate(refdates)])
if axes is None:
if new:
axes = create_figure()
kplot(kdata, axes=axes)
else:
axes = gca()
es = EffectScatter()
highest = round(max(HIGH(kdata)),2)
lowest = round(min(LOW(kdata)), 2)
height = highest - lowest
tds = sys.tm.getTradeList()
buy_dates = []
sell_dates = []
for t in tds:
if t.business == BUSINESS.BUY:
buy_dates.append(t.datetime)
elif t.business == BUSINESS.SELL:
sell_dates.append(t.datetime)
else:
pass
dates = buy_dates
buy_y_list = ['-' for i in range(len(refdates))]
for d in dates:
if d not in date_index:
continue
pos = date_index[d]
krecord = kdata[pos]
buy_y_list[pos] = round(krecord.lowPrice - height*0.02, 2)
es.add("", x_list, buy_y_list,
symbol_size=12, effect_scale=2.5, effect_period=0,symbol="triangle",
is_label_show=True,
label_formatter='B',
label_pos = 'bottom',
label_text_color = '#CD0000',
label_color=['#CD0000', '#008B00'])
dates = sell_dates
sell_y_list = ['-' for i in range(len(refdates))]
for d in dates:
if d not in date_index:
continue
pos = date_index[d]
krecord = kdata[pos]
sell_y_list[pos] = round(krecord.highPrice + height*0.015, 2)
es.add("", x_list, sell_y_list,
symbol_size=20, effect_scale=2.5, effect_period=0,symbol="pin",
is_label_show=True,
label_formatter='S',
label_pos = 'top',
label_text_color = '#008B00',
label_color=['#CD0000', '#008B00', '#008B00'])
axes.add(es)
gcf().set_xaxis(x_list)
gcf().add_axis(axes)
return gcf()
wordcloud2 = WordCloud(width=1300, height=620)
wordcloud2.add("", name, value, word_size_range=[30, 100], shape='diamond')
wordcloud2.show_config()
wordcloud2.render(path='变形词云.html')
from pyecharts import Bar
bar = Bar("我的第一个图表", "这里是副标题")
bar.add("服装", ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"], [5, 20, 36, 10, 75, 90],
is_more_utils=True)
bar.show_config()
bar.render(path='bar.html')
from pyecharts import EffectScatter
v1 = [10, 20, 30, 40, 50, 60]
v2 = [25, 20, 15, 10, 60, 33]
es = EffectScatter("带有涟漪特效动画的动态散点图示例")
es.add("effectScatter", v1, v2)
es.render("effect_scatter.html")
from pyecharts import Pie
attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
v1 = [11, 12, 13, 10, 10, 10]
pie = Pie("饼图示例")
pie.add("", attr, v1, is_label_show=True)
pie.render("pie.html")
from pyecharts import Gauge
gauge = Gauge("仪表盘示例")
gauge.add("业务指标", "完成率", 66.66)
gauge.show_config()
gauge.render("gauge.html")
def test_grid():
# grid_0
attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
bar = Bar("柱状图示例", height=720, is_grid=True)
bar.add("商家A", attr, v1, is_stack=True, grid_bottom="60%")
bar.add("商家B", attr, v2, is_stack=True, grid_bottom="60%")
line = Line("折线图示例", title_top="50%")
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"],
mark_line=["average"], legend_top="50%")
bar.grid(line.get_series(), grid_top="60%")
bar.show_config()
bar.render()
# grid_1
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
scatter = Scatter(width=1200, is_grid=True)
scatter.add("散点图示例", v1, v2, grid_left="60%", legend_pos="70%")
es = EffectScatter()
es.add("动态散点图示例", [11, 11, 15, 13, 12, 13, 10], [1, -2, 2, 5, 3, 2, 0],
effect_scale=6, legend_pos="20%")
scatter.grid(es.get_series(), grid_right="60%")
scatter.show_config()
scatter.render()
# grid_2
attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
bar = Bar("柱状图示例", height=720, width=1200, title_pos="65%", is_grid=True)
bar.add("商家A", attr, v1, is_stack=True, grid_bottom="60%", grid_left="60%")
bar.add("商家B", attr, v2, is_stack=True, grid_bottom="60%", grid_left="60%", legend_pos="80%")
line = Line("折线图示例")
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"],
mark_line=["average"], legend_pos="20%")
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
scatter = Scatter("散点图示例", title_top="50%", title_pos="65%")
scatter.add("scatter", v1, v2, legend_top="50%", legend_pos="80%")
es = EffectScatter("动态散点图示例", title_top="50%")
es.add("es", [11, 11, 15, 13, 12, 13, 10], [1, -2, 2, 5, 3, 2, 0], effect_scale=6,
legend_top="50%", legend_pos="20%")
bar.grid(line.get_series(), grid_bottom="60%", grid_right="60%")
bar.grid(scatter.get_series(), grid_top="60%", grid_left="60%")
bar.grid(es.get_series(), grid_top="60%", grid_right="60%")
bar.show_config()
bar.render()
# grid_3
line = Line("折线图示例", width=1200, is_grid=True)
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"], grid_right="65%")
line.add("最低气温", attr, [1, -2, 2, 5, 3, 2, 0], mark_point=["max", "min"],
mark_line=["average"], legend_pos="20%")
attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
v1 = [11, 12, 13, 10, 10, 10]
pie = Pie("饼图示例", title_pos="45%")
pie.add("", attr, v1, radius=[30, 55], legend_pos="65%", legend_orient='vertical')
line.grid(pie.get_series(), grid_left="60%")
line.show_config()
line.render()
# grid_4
line = Line("折线图示例", width=1200, is_grid=True)
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"], grid_right="60%")
line.add("最低气温", attr, [1, -2, 2, 5, 3, 2, 0], mark_point=["max", "min"],
mark_line=["average"], legend_pos="20%", grid_right="60%")
attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
value = [20, 40, 60, 80, 100, 120]
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_pos="60%")
kline.add("日K", ["2017/7/{}".format(i + 1) for i in range(31)], v1, legend_pos="80%")
line.grid(kline.get_series(), grid_left="55%")
line.show_config()
line.render()
# grid_5
import random
x_axis = ["12a", "1a", "2a", "3a", "4a", "5a", "6a", "7a", "8a", "9a", "10a", "11a",
"12p", "1p", "2p", "3p", "4p", "5p", "6p", "7p", "8p", "9p", "10p", "11p"]
y_aixs = ["Saturday", "Friday", "Thursday", "Wednesday", "Tuesday", "Monday", "Sunday"]
data = [[i, j, random.randint(0, 50)] for i in range(24) for j in range(7)]
heatmap = HeatMap("热力图示例", height=700, is_grid=True)
heatmap.add("热力图直角坐标系", x_axis, y_aixs, data, is_visualmap=True, visual_top="45%",
visual_text_color="#000", visual_orient='horizontal', grid_bottom="60%")
attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
bar = Bar("柱状图示例", title_top="52%")
bar.add("商家A", attr, v1, is_stack=True)
bar.add("商家B", attr, v2, is_stack=True, legend_top="50%")
heatmap.grid(bar.get_series(), grid_top="60%")
heatmap.show_config()
heatmap.render()
def test_effectscatter_default():
v1 = [10, 20, 30, 40, 50, 60]
v2 = [25, 20, 15, 10, 60, 33]
es = EffectScatter("动态散点图示例")
es.add("effectScatter", v1, v2)
es.render()
from pyecharts import Line, EffectScatter, Overlap
attr = ['衬衫', '羊毛衫', '雪纺衫', '裤子', '高跟鞋', '袜子']
v1 = [5, 20, 36, 10, 10, 90]
line = Line('线性_闪烁图示例')
line.add('', attr, v1, is_random=True)
es = EffectScatter()
es.add('', attr, v1, effect_scale=8) #闪烁
overlop = Overlap()
overlop.add(line) #必须先添加line,在添加es
overlop.add(es)
overlop.render('./picture12.html')
def test_grid():
# grid_0
attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
bar = Bar("柱状图示例", height=720, is_grid=True)
bar.add("商家A", attr, v1, is_stack=True, grid_bottom="60%")
bar.add("商家B", attr, v2, is_stack=True, grid_bottom="60%")
line = Line("折线图示例", title_top="50%")
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"],
mark_line=["average"],
legend_top="50%")
bar.grid(line.get_series(), grid_top="60%")
bar.show_config()
bar.render()
# grid_1
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
scatter = Scatter(width=1200, is_grid=True)
scatter.add("散点图示例", v1, v2, grid_left="60%", legend_pos="70%")
es = EffectScatter()
es.add("动态散点图示例", [11, 11, 15, 13, 12, 13, 10], [1, -2, 2, 5, 3, 2, 0],
effect_scale=6,
legend_pos="20%")
scatter.grid(es.get_series(), grid_right="60%")
scatter.show_config()
scatter.render()
# grid_2
attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
bar = Bar("柱状图示例", height=720, width=1200, title_pos="65%", is_grid=True)
bar.add("商家A", attr, v1, is_stack=True, grid_bottom="60%", grid_left="60%")
bar.add("商家B",
attr,
v2,
is_stack=True,
grid_bottom="60%",
grid_left="60%",
legend_pos="80%")
line = Line("折线图示例")
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"],
mark_line=["average"],
legend_pos="20%")
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
scatter = Scatter("散点图示例", title_top="50%", title_pos="65%")
scatter.add("scatter", v1, v2, legend_top="50%", legend_pos="80%")
es = EffectScatter("动态散点图示例", title_top="50%")
es.add("es", [11, 11, 15, 13, 12, 13, 10], [1, -2, 2, 5, 3, 2, 0],
effect_scale=6,
legend_top="50%",
legend_pos="20%")
bar.grid(line.get_series(), grid_bottom="60%", grid_right="60%")
bar.grid(scatter.get_series(), grid_top="60%", grid_left="60%")
bar.grid(es.get_series(), grid_top="60%", grid_right="60%")
bar.show_config()
bar.render()
# grid_3
line = Line("折线图示例", width=1200, is_grid=True)
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"],
grid_right="65%")
line.add("最低气温",
attr, [1, -2, 2, 5, 3, 2, 0],
mark_point=["max", "min"],
mark_line=["average"],
legend_pos="20%")
attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
v1 = [11, 12, 13, 10, 10, 10]
pie = Pie("饼图示例", title_pos="45%")
pie.add("",
attr,
v1,
radius=[30, 55],
legend_pos="65%",
legend_orient='vertical')
line.grid(pie.get_series(), grid_left="60%")
line.show_config()
line.render()
# grid_4
line = Line("折线图示例", width=1200, is_grid=True)
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"],
grid_right="60%")
line.add("最低气温",
attr, [1, -2, 2, 5, 3, 2, 0],
mark_point=["max", "min"],
mark_line=["average"],
legend_pos="20%",
grid_right="60%")
attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
value = [20, 40, 60, 80, 100, 120]
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_pos="60%")
kline.add("日K", ["2017/7/{}".format(i + 1) for i in range(31)],
v1,
legend_pos="80%")
line.grid(kline.get_series(), grid_left="55%")
line.show_config()
line.render()
# grid_5
import random
x_axis = [
"12a", "1a", "2a", "3a", "4a", "5a", "6a", "7a", "8a", "9a", "10a",
"11a", "12p", "1p", "2p", "3p", "4p", "5p", "6p", "7p", "8p", "9p",
"10p", "11p"
]
y_aixs = [
"Saturday", "Friday", "Thursday", "Wednesday", "Tuesday", "Monday",
"Sunday"
]
data = [[i, j, random.randint(0, 50)] for i in range(24) for j in range(7)]
heatmap = HeatMap("热力图示例", height=700, is_grid=True)
heatmap.add("热力图直角坐标系",
x_axis,
y_aixs,
data,
is_visualmap=True,
visual_top="45%",
visual_text_color="#000",
visual_orient='horizontal',
grid_bottom="60%")
attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
bar = Bar("柱状图示例", title_top="52%")
bar.add("商家A", attr, v1, is_stack=True)
bar.add("商家B", attr, v2, is_stack=True, legend_top="50%")
heatmap.grid(bar.get_series(), grid_top="60%")
heatmap.show_config()
heatmap.render()
def sgplot(sg, new=True, axes=None, style=1, kdata=None):
"""绘制买入/卖出信号
:param SignalBase sg: 信号指示器
:param new: 仅在未指定axes的情况下生效，当为True时，创建新的窗口对象并在其中进行绘制
:param axes: 指定在那个轴对象中进行绘制
:param style: 1 | 2 信号箭头绘制样式
:param KData kdata: 指定的KData（即信号发生器的交易对象），
如该值为None，则认为该信号发生器已经指定了交易对象，
否则，使用该参数作为交易对象
"""
if kdata is None:
kdata = sg.getTO()
else:
sg.setTO(kdata)
refdates = kdata.getDatetimeList()
if kdata.getQuery().kType == KQuery.DAY:
x_list = [d.date() for d in refdates]
else:
x_list = [d.datetime() for d in refdates]
date_index = dict([(d,i) for i,d in enumerate(refdates)])
if axes is None:
if new:
axes = create_figure()
kplot(kdata, axes=axes)
else:
axes = gca()
es = EffectScatter()
highest = round(max(HIGH(kdata)),2)
lowest = round(min(LOW(kdata)), 2)
height = highest - lowest
dates = sg.getBuySignal()
buy_y_list = ['-' for i in range(len(refdates))]
for d in dates:
if d not in date_index:
continue
pos = date_index[d]
krecord = kdata[pos]
buy_y_list[pos] = round(krecord.lowPrice - height*0.02, 2)
es.add("", x_list, buy_y_list,
symbol_size=12, effect_scale=2.5, effect_period=0,symbol="triangle",
is_label_show=True,
label_formatter='B',
label_pos = 'bottom',
label_text_color = '#CD0000',
label_color=['#CD0000', '#008B00'])
dates = sg.getSellSignal()
sell_y_list = ['-' for i in range(len(refdates))]
for d in dates:
if d not in date_index:
continue
pos = date_index[d]
krecord = kdata[pos]
sell_y_list[pos] = round(krecord.highPrice + height*0.015, 2)
es.add("", x_list, sell_y_list,
symbol_size=20, effect_scale=2.5, effect_period=0,symbol="pin",
is_label_show=True,
label_formatter='S',
label_pos = 'top',
label_text_color = '#008B00',
label_color=['#CD0000', '#008B00', '#008B00'])
axes.add(es)
gcf().set_xaxis(x_list)
gcf().add_axis(axes)
return gcf()
