def v_correlation(self, end=yesterdayobj(), **vkwds):
'''
各基金净值的相关程度热力图可视化
:param end: string or object of date, the end date of the line
:returns: pyecharts.Heatmap object
'''
ctable = self.correlation_table(end)
x_axis = list(ctable.columns)
data = [[i, j, ctable.iloc[i, j]] for i in range(len(ctable)) for j in range(len(ctable))]
heatmap = HeatMap()
heatmap.add("", x_axis, x_axis, data, is_visualmap=True, visual_pos='center',
visual_text_color="#000", visual_range=[-1, 1], visual_orient='horizontal', **vkwds)
return heatmap
from pyecharts.charts import HeatMap
import datetime
import random
import os, sys
os.chdir(sys.path[0]) # 改变目录
begin = datetime.date(2018, 1, 1) #设置起始日期
end = datetime.date(2019, 12, 31) #设置终止日期
data = [
[str(begin + datetime.timedelta(days=i)),
random.randint(1000, 25000)] #设置日期间隔，步数范围
for i in range((end - begin).days + 1)
]
heatmap_k = HeatMap('2018年')
heatmap_k.add('',
data,
is_calendar_heatmap=True,
visual_range=[1000, 25000],
is_visualmap=True,
calendar_data_range=[data[0][0], data[-1][0]],
visual_orient='horizontal',
visual_pos='center',
visual_top='90%',
calendar_cell_size=[25, 35])
heatmap_k.render('heatmap.html')
"7p",
"8p",
"9p",
"10p",
"11p",
]
y_axis = [
"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()
heatmap.add("热力图直角坐标系",
x_axis,
y_axis,
data,
is_visualmap=True,
visual_text_color="#000",
visual_orient="horizontal")
heatmap.render(r".\my_first_Hotmap.html")
"""漏斗图"""
attr = ["潜在", "接触", "意向", "明确", "投入", "谈判", "成交"]
value = [140, 120, 100, 80, 60, 40, 20]
funnel = Funnel("销售管理分析漏斗图")
funnel.add("商品",
attr,
value,
is_label_show=True,
label_pos="inside",
label_text_color="#fff")
funnel.render(r".\my_first_Loudou.html")
