\['2020-08-26', '5.14', '6.53', '6.66', '5.11', '6423625', '3906770742.00', '30.51', '28.54', '1.45', '48.51'\], \['2020-09-30', '7.09', '5.87', '7.09', '5.59', '7039025', '4506484323.00', '22.97', '-10.11', '-0.66', '53.15'\], \['2020-10-30', '6.07', '5.99', '6.47', '5.91', '3783786', '2471554013.00', '9.54', '2.04', '0.12', '28.57'\], \['2020-11-30', '5.97', '5.62', '6.44', '5.55', '4047399', '2560981705.00', '14.86', '-6.18', '-0.37', '30.56'\], \['2020-12-31', '5.67', '5.42', '5.76', '5.20', '2886695', '1684655931.00', '9.96', '-3.56', '-0.20', '21.80'\], \['2021-01-29', '5.42', '7.36', '8.05', '5.16', '7640483', '5291177056.00', '53.32', '35.79', '1.94', '57.69'\], \['2021-02-26', '7.44', '7.87', '8.84', '6.59', '8235466', '6544950998.00', '30.57', '6.93', '0.51', '62.19'\], \['2021-03-31', '8.07', '7.53', '8.25', '6.69', '5833777', '4496212299.00', '19.82', '-4.32', '-0.34', '44.05'\], \['2021-04-30', '7.69', '6.88', '8.02', '6.79', '3923921', '3013422470.00', '16.33', '-8.63', '-0.65', '29.63'\], \['2021-05-31', '6.89', '7.51', '7.94', '6.84', '2746401', '2099111916.00', '15.99', '9.16', '0.63', '20.74'\], \['2021-06-30', '7.53', '8.23', '9.19', '7.14', '7794692', '6709314568.00', '27.30', '9.59', '0.72', '58.86'\], \['2021-07-19', '8.24', '10.67', '11.95', '7.88', '10017719', '10669508743.00', '49.45', '29.65', '2.44', '75.64'\], \['2021-08-31', '11.77', '16.50', '17.06', '9.70', '20297795', '27371926576.00', '68.98', '54.64', '5.83', '153.26'\], \['2021-09-30', '16.69', '13.92', '19.99', '12.58', '19294129', '32401495744.00', '44.91', '-15.64', '-2.58', '145.68'\], \['2021-10-29', '14.18', '17.75', '17.75', '12.94', '13808354', '21672718912.00', '34.55', '27.51', '3.83', '104.26'\], \['2021-11-30', '17.91', '13.66', '18.11', '13.26', '11772719', '18237051136.00', '27.32', '-23.04', '-4.09', '88.89'\], \['2021-12-31', '13.66', '12.77', '14.42', '11.58', '5325380', '7249270033.00', '20.79', '-6.52', '-0.89', '40.21'\], \['2022-01-28', '12.94', '10.97', '12.98', '10.51', '2732294', '3364879969.00', '19.34', '-14.10', '-1.80', '20.63'\], \['2022-02-28', '11.12', '12.27', '12.87', '10.61', '4104936', '4940177528.00', '20.60', '11.85', '1.30', '30.99'\], \['2022-03-31', '12.19', '10.16', '12.22', '9.60', '4051685', '4491776249.00', '21.35', '-17.20', '-2.11', '30.59'\], \['2022-04-29', '10.14', '9.84', '12.04', '8.81', '4963021', '5496150013.00', '31.79', '-3.15', '-0.32', '37.46'\], \['2022-05-31', '9.83', '10.70', '10.93', '9.76', '3231527', '3455467851.00', '11.89', '8.74', '0.86', '24.00'\], \['2022-06-30', '10.70', '16.95', '18.19', '10.63', '14963011', '22209774597.00', '70.65', '58.41', '6.25', '111.15'\], \['2022-07-29', '16.69', '14.06', '18.04', '13.97', '12483798', '19912673477.07', '24.01', '-17.05', '-2.89', '92.73'\], \['2022-08-31', '13.94', '12.01', '14.38', '11.97', '6291990', '8595945381.44', '17.14', '-14.58', '-2.05', '46.74'\], \['2022-09-30', '11.97', '10.80', '12.46', '10.79', '3994493', '4774203485.00', '13.91', '-10.07', '-1.21', '29.67'\], \['2022-10-31', '10.80', '10.85', '11.84', '10.43', '2782249', '3190329589.48', '13.06', '0.46', '0.05', '20.67'\], \['2022-11-30', '10.72', '11.02', '12.21', '10.70', '3927731', '4664457134.07', '13.92', '1.57', '0.17', '29.18'\], \['2022-12-30', '11.13', '10.21', '12.05', '10.18', '3409690', '3937347733.68', '16.97', '-7.35', '-0.81', '25.33'\], \['2023-01-31', '10.19', '11.16', '11.24', '10.02', '2182122', '2392438893.39', '11.95', '9.30', '0.95', '16.19'\], \['2023-02-28', '11.18', '11.05', '11.42', '10.60', '3180931', '3631484275.60', '7.35', '-0.99', '-0.11', '23.60'\], \['2023-03-31', '11.08', '10.05', '11.20', '9.78', '2253026', '2430002135.22', '12.85', '-9.05', '-1.00', '16.72'\], \['2023-04-28', '10.09', '9.04', '10.15', '8.70', '2067576', '2016893100.13', '14.43', '-10.05', '-1.01', '15.34'\], \['2023-05-31', '9.04', '8.25', '9.08', '8.21', '1690058', '1529483680.22', '9.62', '-8.74', '-0.79', '12.54'\], \['2023-06-30', '8.24', '8.04', '8.77', '7.77', '2122551', '1792292298.98', '12.12', '-2.55', '-0.21', '15.55'\], \['2023-07-31', '8.09', '8.50', '8.79', '7.92', '3504565', '2932372429.58', '10.82', '5.72', '0.46', '25.67'\], \['2023-08-31', '8.50', '7.48', '8.58', '7.44', '2222389', '1818424854.88', '13.41', '-12.00', '-1.02', '16.28'\], \['2023-09-28', '7.52', '7.07', '7.84', '7.03', '1553478', '1167179999.54', '10.83', '-5.48', '-0.41', '11.38'\], \['2023-10-31', '7.06', '7.05', '7.20', '6.38', '1708094', '1186972884.06', '11.60', '-0.28', '-0.02', '12.51'\], \['2023-11-30', '7.07', '6.98', '7.78', '6.94', '2562231', '1888396247.32', '11.91', '-0.99', '-0.07', '18.77'\], \['2023-12-29', '7.01', '7.06', '7.17', '6.38', '2652404', '1833913392.31', '11.32', '1.15', '0.08', '19.43'\], \['2024-01-31', '7.08', '5.77', '7.23', '5.75', '2525187', '1675073126.41', '20.96', '-18.27', '-1.29', '18.47'\], \['2024-02-29', '5.76', '6.87', '7.19', '4.79', '4620783', '3052209409.18', '41.59', '19.06', '1.10', '33.80'\], \['2024-03-29', '6.84', '6.94', '7.41', '6.46', '4201298', '2952679162.11', '13.83', '1.02', '0.07', '30.73'\], \['2024-04-30', '6.99', '6.96', '7.28', '6.17', '4273420', '2971379672.42', '15.99', '0.29', '0.02', '31.25'\], \['2024-05-31', '7.01', '7.67', '8.79', '6.98', '10529867', '8423034183.77', '26.01', '10.20', '0.71', '77.01'\], \['2024-06-28', '7.49', '6.73', '7.53', '6.67', '3267576', '2338292022.21', '11.21', '-12.26', '-0.94', '23.87'\], \['2024-07-31', '6.73', '6.95', '7.28', '6.43', '2899562', '1994554243.74', '12.63', '3.27', '0.22', '21.21'\], \['2024-08-30', '6.98', '7.33', '7.62', '6.16', '3696219', '2538348397.90', '21.01', '5.47', '0.38', '27.04'\], \['2024-09-30', '7.30', '9.71', '9.79', '7.27', '16231836', '13240259699.44', '34.38', '32.47', '2.38', '92.58'\], \['2024-10-31', '10.68', '18.88', '18.88', '8.91', '27049633', '32713369037.32', '102.68', '94.44', '9.17', '154.28'\], \['2024-11-29', '19.68', '19.16', '22.88', '14.31', '65196946', '120453192460.87', '45.39', '1.48', '0.28', '371.87'\], \['2024-12-31', '18.51', '14.47', '22.88', '14.44', '40480198', '73496279450.08', '44.05', '-24.48', '-4.69', '230.17'\], \['2025-01-27', '14.42', '13.10', '15.38', '12.23', '18111814', '24821352939.50', '21.77', '-9.47', '-1.37', '102.98'\], \['2025-02-28', '13.08', '13.39', '14.49', '12.68', '18873627', '25749754663.77', '13.82', '2.21', '0.29', '107.31'\], \['2025-03-31', '13.30', '11.95', '14.05', '11.86', '12746158', '16699590835.01', '16.36', '-10.75', '-1.44', '72.47'\], \['2025-04-30', '11.90', '11.01', '12.05', '9.60', '7351525', '8079140749.51', '20.50', '-7.87', '-0.94', '41.80'\], \['2025-05-30', '11.08', '11.15', '12.08', '11.02', '8081281', '9217852563.41', '9.63', '1.27', '0.14', '45.95'\]
python
import get_stock_data as gsd
from pyecharts import options as opts
from pyecharts.charts import Kline
import pandas as pd
from pyecharts.commons.utils import JsCode
#01.股票代码
date_list=[]#日期列表
open_list=[]#开盘价列表
close_list=[]#收盘价列表
high_list=[]#最高价列表
low_list=[]#最低价列表
vol_list=[]#成交量列表
amount_list=[]#成交额列表
amplitude_list=[]#振幅列表
pct_chg_list=[]#涨跌幅列表
price_change_list=[]#涨跌额列表
turnover_rate_list=[]#换手率列表
#03.获取股票数据
stock_name="002312"
stock_data=gsd.get_stock_data(stock_name)
for i in stock_data:
date_list.append(i[0])
open_list.append(i[1])
close_list.append(i[2])
high_list.append(i[3])
low_list.append(i[4])
vol_list.append(i[5])
amount_list.append(i[6])
amplitude_list.append(i[7])
pct_chg_list.append(i[8])
price_change_list.append(i[9])
turnover_rate_list.append(i[10])
# print(date_list[0])
# print(date_list[-1])
# print(date_list)
# date_rng = pd.date_range(start=date_list[0], end=date_list[-1], freq='M')
# print(type(date_rng))
#日期
#开盘价ok
#收盘价ok
#最高价
#最低价
#成交量
#成交额
#振幅
#涨跌幅
#涨跌额
#换手率
data = {
'date': date_list,#日期
'open': open_list,#开盘价
'close': close_list,#收盘价
'high': high_list,#最高价
'low': low_list,#最低价
'vol': vol_list,#成交量
'amount': amount_list,#成交额
'amplitude': amplitude_list,#振幅
'pct_chg': pct_chg_list,#涨跌幅
'price_change': price_change_list,#涨跌额
'turnover_rate': turnover_rate_list,#换手率
}
df = pd.DataFrame(data)
kline = (
Kline()
# .add_xaxis(df['date'].dt.strftime('%Y-%m-%d').tolist())
.add_xaxis(date_list)
.add_yaxis(
series_name='股价',
y_axis=df[['open',
'close',
'high',
'low',
'vol',
'amount',
'amplitude',
'pct_chg',
'price_change',
'turnover_rate'
]].values.tolist(),
itemstyle_opts=opts.ItemStyleOpts(
color="#ec0000",
color0="#00da3c"
)
)
.set_global_opts(
title_opts=opts.TitleOpts(title="股票月K线图"),
xaxis_opts=opts.AxisOpts(type_='category'),
yaxis_opts=opts.AxisOpts(is_scale=True),
tooltip_opts=opts.TooltipOpts(padding = 7)
)
)
kline.render("Month_kline"+stock_name+".html")
html
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>Awesome-pyecharts</title>
<script type="text/javascript" src="https://assets.pyecharts.org/assets/v5/echarts.min.js"></script>
</head>
<body >
<div id="0e50c02a57f94c73a67eb87e43f978bf" class="chart-container" style="width:900px; height:500px; "></div>
<script>
var chart_0e50c02a57f94c73a67eb87e43f978bf = echarts.init(
document.getElementById('0e50c02a57f94c73a67eb87e43f978bf'), 'white', {renderer: 'canvas'});
var option_0e50c02a57f94c73a67eb87e43f978bf = {
"animation": true,
"animationThreshold": 2000,
"animationDuration": 1000,
"animationEasing": "cubicOut",
"animationDelay": 0,
"animationDurationUpdate": 300,
"animationEasingUpdate": "cubicOut",
"animationDelayUpdate": 0,
"aria": {
"enabled": false
},
"color": [
"#5470c6",
"#91cc75",
"#fac858",
"#ee6666",
"#73c0de",
"#3ba272",
"#fc8452",
"#9a60b4",
"#ea7ccc"
],
"series": [
{
"type": "candlestick",
"name": "\u80a1\u4ef7",
"coordinateSystem": "cartesian2d",
"colorBy": "series",
"legendHoverLink": true,
"hoverAnimation": true,
"data": [
[
"5.14",
"6.53",
"6.66",
"5.11",
"6423625",
"3906770742.00",
"30.51",
"28.54",
"1.45",
"48.51"
],
[
"7.09",
"5.87",
"7.09",
"5.59",
"7039025",
"4506484323.00",
"22.97",
"-10.11",
"-0.66",
"53.15"
],
[
"6.07",
"5.99",
"6.47",
"5.91",
"3783786",
"2471554013.00",
"9.54",
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],
[
"5.97",
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],
[
"5.67",
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"5.20",
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"-3.56",
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],
[
"5.42",
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"8.05",
"5.16",
"7640483",
"5291177056.00",
"53.32",
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"57.69"
],
[
"7.44",
"7.87",
"8.84",
"6.59",
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"30.57",
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],
[
"8.07",
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"8.25",
"6.69",
"5833777",
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"19.82",
"-4.32",
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],
[
"7.69",
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"6.79",
"3923921",
"3013422470.00",
"16.33",
"-8.63",
"-0.65",
"29.63"
],
[
"6.89",
"7.51",
"7.94",
"6.84",
"2746401",
"2099111916.00",
"15.99",
"9.16",
"0.63",
"20.74"
],
[
"7.53",
"8.23",
"9.19",
"7.14",
"7794692",
"6709314568.00",
"27.30",
"9.59",
"0.72",
"58.86"
],
[
"8.24",
"10.67",
"11.95",
"7.88",
"10017719",
"10669508743.00",
"49.45",
"29.65",
"2.44",
"75.64"
],
[
"11.77",
"16.50",
"17.06",
"9.70",
"20297795",
"27371926576.00",
"68.98",
"54.64",
"5.83",
"153.26"
],
[
"16.69",
"13.92",
"19.99",
"12.58",
"19294129",
"32401495744.00",
"44.91",
"-15.64",
"-2.58",
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],
[
"14.18",
"17.75",
"17.75",
"12.94",
"13808354",
"21672718912.00",
"34.55",
"27.51",
"3.83",
"104.26"
],
[
"17.91",
"13.66",
"18.11",
"13.26",
"11772719",
"18237051136.00",
"27.32",
"-23.04",
"-4.09",
"88.89"
],
[
"13.66",
"12.77",
"14.42",
"11.58",
"5325380",
"7249270033.00",
"20.79",
"-6.52",
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],
[
"12.94",
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],
[
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],
[
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"9.60",
"4051685",
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"21.35",
"-17.20",
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"30.59"
],
[
"10.14",
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"4963021",
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"31.79",
"-3.15",
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],
[
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],
[
"10.70",
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],
[
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],
[
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],
[
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],
[
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],
[
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],
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],
[
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],
[
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],
[
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[
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