python flask pyecharts kline 01.py

陳亞林發表於2024-07-15
PythonFlaskEcharts

python flask pyecharts kline 01.py

  1 #endcoing:utf-8
  2 # 參考 https://blog.csdn.net/m0_59236127/article/details/137670671
  3 
  4 from flask import Flask,render_template
  5 
  6 from pyecharts.globals import CurrentConfig
  7 CurrentConfig.ONLINE_HOST = "https://cdn.kesci.com/lib/pyecharts_assets/"
  8 
  9 from pyecharts import options as opts
 10 from pyecharts.globals import ThemeType
 11 from pyecharts.charts import Bar,Kline , Line , Grid
 12 
 13 #from jinja2 import Markup
 14 
 15 from jinja2.utils import markupsafe
 16 
 17 app = Flask(__name__)
 18 
 19 def bar_base():
 20     bar = (
 21         Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT))
 22             .add_xaxis(["襯衫", "羊毛衫", "雪紡衫", "褲子", "高跟鞋", "襪子"])
 23             .add_yaxis("商家A", [5, 20, 36, 10, 75, 90])
 24             .add_yaxis("商家B", [15, 25, 30, 18, 65, 70])
 25             .set_global_opts(title_opts=opts.TitleOpts(title="主標題", subtitle="副標題"))
 26     )
 27     return bar
 28 
 29 
 30 date_list = ["2020/4/{}".format(i + 1) for i in range(30)]
 31 y_data = [
 32  [2320.26, 2320.26, 2287.3, 2362.94],
 33  [2300, 2291.3, 2288.26, 2308.38],
 34  [2295.35, 2346.5, 2295.35, 2345.92],
 35  [2347.22, 2358.98, 2337.35, 2363.8],
 36  [2360.75, 2382.48, 2347.89, 2383.76],
 37  [2383.43, 2385.42, 2371.23, 2391.82],
 38  [2377.41, 2419.02, 2369.57, 2421.15],
 39  [2425.92, 2428.15, 2417.58, 2440.38],
 40  [2411, 2433.13, 2403.3, 2437.42],
 41  [2432.68, 2334.48, 2427.7, 2441.73],
 42  [2430.69, 2418.53, 2394.22, 2433.89],
 43  [2416.62, 2432.4, 2414.4, 2443.03],
 44  [2441.91, 2421.56, 2418.43, 2444.8],
 45  [2420.26, 2382.91, 2373.53, 2427.07],
 46  [2383.49, 2397.18, 2370.61, 2397.94],
 47  [2378.82, 2325.95, 2309.17, 2378.82],
 48  [2322.94, 2314.16, 2308.76, 2330.88],
 49  [2320.62, 2325.82, 2315.01, 2338.78],
 50  [2313.74, 2293.34, 2289.89, 2340.71],
 51  [2297.77, 2313.22, 2292.03, 2324.63],
 52  [2322.32, 2365.59, 2308.92, 2366.16],
 53  [2364.54, 2359.51, 2330.86, 2369.65],
 54  [2332.08, 2273.4, 2259.25, 2333.54],
 55  [2274.81, 2326.31, 2270.1, 2328.14],
 56  [2333.61, 2347.18, 2321.6, 2351.44],
 57  [2340.44, 2324.29, 2304.27, 2352.02],
 58  [2326.42, 2318.61, 2314.59, 2333.67],
 59  [2314.68, 2310.59, 2296.58, 2320.96],
 60  [2309.16, 2286.6, 2264.83, 2333.29],
 61  [2282.17, 2263.97, 2253.25, 2286.33], ]
 62 
 63 columnsName=[ 'o' , 'c' , 'l' , 'h' ]
 64 import pandas as pd
 65 data=pd.DataFrame( y_data , columns= columnsName ) 
 66  
 67 data["ma5"]=data["c"].rolling(5).mean().dropna()
 68 data["ma10"]=data["c"].rolling(10).mean().dropna()
 69 data["ma20"]=data["c"].rolling(20).mean().dropna()
 70 print(  data["ma5"] )
 71 
 72 def kline_base( ) :  
 73 
 74     markMaxMinPointsData__=[ opts.MarkPointItem(type_='max', name='最高價'),
 75                       opts.MarkPointItem(type_='min', name='最低價')]
 76     kline = (Kline()
 77              .add_xaxis(date_list)
 78              .add_yaxis('', y_data,
 79                         itemstyle_opts=opts.ItemStyleOpts(color="#ff0000", color0="#00ff00"),
 80                         markpoint_opts=opts.MarkPointOpts(data=markMaxMinPointsData__)
 81                         )             
 82              .set_global_opts(  
 83                  legend_opts=opts.LegendOpts(is_show=True, 
 84                     pos_bottom=10,
 85                     pos_left="center"),
 86                  
 87                  datazoom_opts=[
 88                     opts.DataZoomOpts(
 89                         is_show=False,
 90                         type_="slider",
 91                         xaxis_index=[0],
 92                         range_start=50,
 93                         range_end=100,
 94                     ),
 95                     opts.DataZoomOpts(
 96                         is_show=True,
 97                         xaxis_index=[0],
 98                         type_="slider",
 99                         pos_top="85%",
100                         range_start=100,
101                         range_end=100,
102                     ),
103                 ],
104             yaxis_opts=opts.AxisOpts(
105                 is_scale=True,
106                 splitarea_opts=opts.SplitAreaOpts(
107                     is_show=True, areastyle_opts=opts.AreaStyleOpts(opacity=1)
108                 ),
109             ),       
110                  
111                  )
112              
113              )            
114 
115      
116     #kline.render_notebook()
117     return kline
118 
119 def line_base():
120     line=(Line() )
121     # line.add_xaxis(xaxis_data=list(data.index)) 
122     line.add_xaxis(  date_list ) 
123     
124     line.add_yaxis(
125           "ma5",
126           data["ma5"].tolist(),
127           color="#ff0000",
128           # xaxis_index=1,
129           # yaxis_index=1,
130           is_symbol_show=False ,
131           label_opts=opts.LabelOpts(is_show=False),
132   )
133       
134   #   line.add_yaxis(
135   #         series_name="ma10",
136   #         y_axis=data["ma10"].tolist(),
137   #         xaxis_index=1,
138   #         yaxis_index=1,
139   #         label_opts=opts.LabelOpts(is_show=True),
140   # )
141     
142   #   line.add_yaxis(
143   #         series_name="ma20",
144   #         y_axis=data["ma20"].tolist(),
145   #         xaxis_index=1,
146   #         yaxis_index=1,
147   #         label_opts=opts.LabelOpts(is_show=True),
148   # )
149   
150     line.set_global_opts(  legend_opts=opts.LegendOpts( pos_left='right')  )
151     return line
152 
153 
154 
155 @app.route('/', methods=['GET', 'POST'])
156 def index():
157     bar = bar_base()
158 #    return markupsafe.Markup(bar.render_embed())
159     klineObj=kline_base() 
160     lineObj=line_base()     
161     klineObj.overlap( lineObj )
162     
163     gridObj=Grid( init_opts= opts.InitOpts(width="640px" , height="320px") )
164     gridObj.add( klineObj , grid_opts=opts.GridOpts(pos_left='10%', pos_right='10%',height='60%') )
165      
166     return markupsafe.Markup(  gridObj.render_embed()  )
167 
168 if __name__ == '__main__':
169     app.run(host="127.0.0.1", port=5000,debug=True)

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