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creatmodule.py
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# -*- coding: utf-8 -*-
"""
Created on Sun Apr 17 20:19:04 2022
@author: user
"""
import pyecharts.options as opts
from pyecharts import options as opts
from pyecharts.charts import Line,Bar,Grid,Scatter3D,EffectScatter,Pie,WordCloud
from pyecharts.commons.utils import JsCode
from pyecharts.faker import Faker
def Js_line(x_data,y_data,searchvalue):
background_color_js = (
"new echarts.graphic.LinearGradient(0, 0, 0, 1, "
"[{offset: 0, color: '#c86589'}, {offset: 1, color: '#06a7ff'}], false)"
)
area_color_js = (
"new echarts.graphic.LinearGradient(0, 0, 0, 1, "
"[{offset: 0, color: '#eb64fb'}, {offset: 1, color: '#3fbbff0d'}], false)"
)
c = (
Line(init_opts=opts.InitOpts(bg_color='rgba(255,255,255,0)'))#background_color
.add_xaxis(xaxis_data=x_data)
.add_yaxis(
series_name="value",
y_axis=y_data,
is_smooth=True,
is_symbol_show=True,
symbol="circle",
symbol_size=6,
linestyle_opts=opts.LineStyleOpts(color="#5175DB"),
label_opts=opts.LabelOpts(is_show=True, position="top", color="#5175DB"),
itemstyle_opts=opts.ItemStyleOpts(
color="red", border_color="#5175DB", border_width=6
),
tooltip_opts=opts.TooltipOpts(is_show=False),
areastyle_opts=opts.AreaStyleOpts(color=JsCode(area_color_js), opacity=1),
)
.set_global_opts(
title_opts=opts.TitleOpts(
title=f"{searchvalue} 每坪均價/萬",
pos_bottom="15%",
pos_left="center",
title_textstyle_opts=opts.TextStyleOpts(color="#5175DB", font_size=16),
#title color
),
xaxis_opts=opts.AxisOpts(
type_="category",
boundary_gap=False,
axislabel_opts=opts.LabelOpts(margin=30, color="#000"),#x軸label顏色
axisline_opts=opts.AxisLineOpts(is_show=False),
axistick_opts=opts.AxisTickOpts(
is_show=True,
length=25,
linestyle_opts=opts.LineStyleOpts(color="#ffffff"),
),
splitline_opts=opts.SplitLineOpts(
is_show=True, linestyle_opts=opts.LineStyleOpts(color="#DFDFE3")#x軸colume color
),
),
yaxis_opts=opts.AxisOpts(
type_="value",
position="right",
axislabel_opts=opts.LabelOpts(margin=20, color="#000"),#y軸labe color
axisline_opts=opts.AxisLineOpts(
linestyle_opts=opts.LineStyleOpts(width=2, color="#DFDFE3")#右側網格顏色
),
axistick_opts=opts.AxisTickOpts(
is_show=True,
length=15,
linestyle_opts=opts.LineStyleOpts(color="#fff"),#y軸line color
),
splitline_opts=opts.SplitLineOpts(
is_show=True, linestyle_opts=opts.LineStyleOpts(color="#DFDFE3")#y軸網格顏色
),
),
legend_opts=opts.LegendOpts(is_show=False),
)
.dump_options()
)
return c
def Creat_Pie_rich(x_data,y_data):
c = (
Pie()
.add(
"",
[list(z) for z in zip(x_data, y_data)],
radius=["40%", "55%"],
label_opts=opts.LabelOpts(
position="outside",
formatter="{a|{a}}{abg|}\n{hr|}\n {b|{b}: }{c} {per|{d}%} ",
background_color="#eee",
border_color="#aaa",
border_width=1,
border_radius=4,
rich={
"a": {"color": "#999", "lineHeight": 22, "align": "left"},
"abg": {
"backgroundColor": "#e3e3e3",
"width": "100%",
"align": "right",
"height": 22,
"borderRadius": [4, 4, 0, 0],
},
"hr": {
"borderColor": "#aaa",
"width": "100%",
"borderWidth": 0.5,
"height": 0,
},
"b": {"fontSize": 16, "lineHeight": 33},
"per": {
"color": "#eee",
"backgroundColor": "#334455",
"padding": [2, 4],
"borderRadius": 2,
},
},
),
)
.set_global_opts(title_opts=opts.TitleOpts(title="World"))
.dump_options()
)
return c
def Creat_WorldCloud(data):
k=(WordCloud(init_opts=opts.InitOpts(width='400px', height='400px'))
.add(series_name="", data_pair=data, word_size_range=[6,100])
.set_global_opts(
title_opts=opts.TitleOpts(
title="交易量熱區", title_textstyle_opts=opts.TextStyleOpts(font_size=23)
),
tooltip_opts=opts.TooltipOpts(is_show=True),
)
.render_embed()
)
return k
def Forecast_plot(pred_tmp,time_tmp):
import pyecharts.options as opts
from pyecharts.charts import Line
c = (
Line()
.add_xaxis(time_tmp)
.add_yaxis("價格(萬元)", pred_tmp)
.set_global_opts(title_opts=opts.TitleOpts(title="未來趨勢"))
.render_embed()
)
return c
def Forecast_plot2(address,pred_tmp,time_tmp):
import pyecharts.options as opts
from pyecharts.charts import Line
from pyecharts.faker import Faker
c = (
Line()
.add_xaxis(time_tmp)
.add_yaxis("每坪價格(萬元)", pred_tmp, areastyle_opts=opts.AreaStyleOpts(opacity=0.5))
.set_global_opts(title_opts=opts.TitleOpts(title=address))
.render_embed()
)
return c
def Forecast_js(address,pred_tmp,time_tmp):
background_color_js = (
"new echarts.graphic.LinearGradient(0, 0, 0, 1, "
"[{offset: 0, color: '#c86589'}, {offset: 1, color: '#06a7ff'}], false)"
)
area_color_js = (
"new echarts.graphic.LinearGradient(0, 0, 0, 1, "
"[{offset: 0, color: '#eb64fb'}, {offset: 1, color: '#3fbbff0d'}], false)"
)
c = (
Line(init_opts=opts.InitOpts(bg_color='rgba(255,255,255,0)'))#background_color
.add_xaxis(xaxis_data=time_tmp)
.add_yaxis(
series_name="value",
y_axis=pred_tmp,
is_smooth=True,
is_symbol_show=True,
symbol="circle",
symbol_size=6,
linestyle_opts=opts.LineStyleOpts(color="#5175DB"),
label_opts=opts.LabelOpts(is_show=True, position="top", color="#5175DB"),
itemstyle_opts=opts.ItemStyleOpts(
color="red", border_color="#5175DB", border_width=6
),
tooltip_opts=opts.TooltipOpts(is_show=False),
areastyle_opts=opts.AreaStyleOpts(color=JsCode(area_color_js), opacity=1),
)
.set_global_opts(
title_opts=opts.TitleOpts(
title=f"{address} 每坪均價/萬",
pos_bottom="15%",
pos_left="center",
title_textstyle_opts=opts.TextStyleOpts(color="#5175DB", font_size=16),
#title color
),
xaxis_opts=opts.AxisOpts(
type_="category",
boundary_gap=False,
axislabel_opts=opts.LabelOpts(margin=30, color="#000"),#x軸label顏色
axisline_opts=opts.AxisLineOpts(is_show=False),
axistick_opts=opts.AxisTickOpts(
is_show=True,
length=25,
linestyle_opts=opts.LineStyleOpts(color="#ffffff"),
),
splitline_opts=opts.SplitLineOpts(
is_show=True, linestyle_opts=opts.LineStyleOpts(color="#DFDFE3")#x軸colume color
),
),
yaxis_opts=opts.AxisOpts(
type_="value",
position="right",
axislabel_opts=opts.LabelOpts(margin=20, color="#000"),#y軸labe color
axisline_opts=opts.AxisLineOpts(
linestyle_opts=opts.LineStyleOpts(width=2, color="#DFDFE3")#右側網格顏色
),
axistick_opts=opts.AxisTickOpts(
is_show=True,
length=15,
linestyle_opts=opts.LineStyleOpts(color="#fff"),#y軸line color
),
splitline_opts=opts.SplitLineOpts(
is_show=True, linestyle_opts=opts.LineStyleOpts(color="#DFDFE3")#y軸網格顏色
),
),
legend_opts=opts.LegendOpts(is_show=False),
)
.render_embed()
)
return c