# pydsxkline
pydsxkline是一个有趣的python包，一行代码即可显示K线图，主要应用于股票金融量化领域，当您想要把股票数据图形化的时候，可以试试这个小工具，希望能帮到有需要的朋友。
pydsxkline基于dsxkline进行封装,具体的接口可以查看官网 http://www.dsxkline.com
   
# 预览
<img width="600" alt="WechatIMG548" src="https://user-images.githubusercontent.com/105279193/211977193-cae8cb52-fcb6-4d95-b812-c07b157d91e7.png">
# Getting started
### Install
``` bash
pip install pydsxkline
```
- Currently only python version 3.8 or older supported
### Hello world
``` python
from pydsxkline.dsxkline import DsxKline
DsxKline.show("sh000001","上证指数")
```
### 分时图
``` python
DsxKline.show("sh000001","上证指数",CycleType.t)
```
<img width="600" alt="WechatIMG549" src="https://user-images.githubusercontent.com/105279193/212050752-c76aabbd-b909-470f-bad4-d68f5c2a2cb1.png">
### 五日图
``` python
# 五日图
DsxKline.show("sh000001","上证指数",CycleType.t5)
```
<img width="600" alt="WechatIMG550" src="https://user-images.githubusercontent.com/105279193/212050872-06e0bf47-8920-43e4-a70d-24013908bd2c.png">
### 日K
``` python
DsxKline.show("sh000001","上证指数",CycleType.day)
```
### 周K
``` python
DsxKline.show("sh000001","上证指数",CycleType.week)
```
### 月K
``` python
DsxKline.show("sh000001","上证指数",CycleType.month)
```
### 年K
``` python
DsxKline.show("sh000001","上证指数",CycleType.year)
```
### 1分钟k线
``` python
DsxKline.show("sh000001","上证指数",CycleType.m1)
```
### 自定义
``` python
DsxKline.show("sh000001","上证指数",CycleType.day,FqType.qfq,theme=DsxThemeName.white,sides["VOL","MACD","KDJ","RSI","WR","CCI","PSY","BIAS"],height=1600)
```
### 加载本地数据
``` python
# 日线数据
datas = [
"20210915,3651.16,3677.53,3638.32,3656.22,474970001.00,60423154.41",
"20210916,3664.84,3677.92,3606.73,3607.09,546741474.00,67395534.04",
"20210917,3595.27,3620.96,3569.27,3613.97,516850210.00,62883439.43",
"20210922,3563.21,3629.45,3560.50,3628.49,472296053.00,55987472.96",
"20210923,3651.27,3670.95,3632.28,3642.22,534995486.00,63321892.91",
"20210924,3637.87,3651.43,3607.79,3613.07,507304772.00,60678860.91",
...
]
DsxKline.show("sh000001","上证指数",datas=datas,enable_data_api=False,cycle=CycleType.day)
```
### 画买卖点
```python
def draw_event():
return [
DsxKline.draw_cycle_with_date("20230313","买","red","#ffffff"),
DsxKline.draw_cycle_with_date("20221129","卖","green","#ffffff",12.99),
DsxKline.draw_cycle_with_date("202303241104","买","red","#ffffff")
]
DsxKline.show("sh000001","上证指数",CycleType.day,draw_event=draw_event(),main=["SAR"])
```
### 自定义头部HTML
```python
header = """
<h1 style="color:#fff;text-align:center;font-size:20px;line-height:50px;border-bottom:1px solid #191b28">这是一个大师兄线图 pydsxkline </h1>
<ul class="mycss">
<li><span>累计收益率：</span><b>30.6%</b></li>
<li><span>年化收益率：</span><b>80.6%</b></li>
<li><span>夏普比率：</span><b>0.35</b></li>
<li><span>盈亏比：</span><b>1.2</b></li>
<li><span>胜率：</span><b>67.6%</b></li>
<li><span>最大回撤：</span><b>30.6%</b></li>
<li><span>最大收益率：</span><b>10.6%</b></li>
<li><span>最小收益率：</span><b>-8.6%</b></li>
<li><span>总资产：</span><b>240098.9 元</b></li>
<li><span>盈利：</span><b>20366 元</b></li>
<li><span>亏损：</span><b>-90880 元</b></li>
</ul>
<style>
.mycss{
list-style:none;
padding:10px 20px;
color:#c5cbc0;
font-size:14px;
}
.mycss li{
float:left;
width:25%;
padding:5px 0;
}
.mycss li span{
color:#c5cbce;
}
</style>
"""
DsxKline.show("sh000001","上证指数",CycleType.day,header_html=header,header_height=160)
```
<img width="600" alt="image" src="https://user-images.githubusercontent.com/105279193/227477956-1a5ebc76-12de-4937-883a-0131dcc01c86.png">
### 自定义指标数据
```python
# 自定义指标数据
# 这个要准备跟K线数据一一对应的指标数据
# 指标名称
name1 = "MYMA"
def _install_js():
# 指标值名称 MA10，line 画折线，颜色 #ff0000
_model = [DrawModel("MA10","line","#ff0000")]
# 支持蜡烛图
_chartType = [ChartType.candle]
# 副图 sides 或者主图 main 或者两者
_location = ["sides"]
# 指标数据
_datas = []
# 这里模拟计算一个均线指标
N = 10
# 获取K线数据
klines = get_datas()
for i in range(len(klines)):
if i>=N:
amount = 0
for j in range(max(0,i-N+1),i+1):
subitem = klines[j]
subobj = subitem.split(",")
close = float(subobj[4])
amount += close
MA10 = amount / N
_datas.append({"MA10":MA10})
else:
_datas.append({"MA10":None})
# 生成js
install_js = DsxKline.get_install_index_js(name1,_model,_chartType,_location,_datas)
return install_js
DsxKline.show("sh000001","上证指数",CycleType.day,main=["SAR"],sides=[name1,"VOL","MACD","KDJ"],datas=get_datas(),enable_data_api=False,install_index_js=_install_js())
```
### 自定义指标算法
自定义指标算法比较麻烦，因为js引擎只能执行js代码，所以指标算法需要用js代码来写
```python
# 自定义指标算法，这个比较麻烦，算法需要用js来写
name2 = "MYMAMA"
def _create_index_js():
# 指标值名称 MA10，line 画折线，颜色 #ff0000
_model = [
DrawModel("MA10","line","#ff0000"),
DrawModel("MA30","line","#ffff00")
]
# 支持蜡烛图
_chartType = [ChartType.candle]
# 副图 sides 或者主图 main 或者两者
_location = ["sides"]
# 指标算法帧函数
_func = """
// 这里写js函数代码
var _name2 = "%s";
var _func = function(){
// 取得当前坐标数据
var item = this.datas[this.day];
// 初始化指标
if (item.ZHIBIAO[_name2] == null)
item.ZHIBIAO[_name2] = {
};
// 开始计算指标值，这里我们计算个均线指标吧
var N = 10;
if(this.day<N) {
item.ZHIBIAO[_name2]["MA10"] = null;
item.ZHIBIAO[_name2]["MA30"] = null;
return;
}
var amount = 0;
for(var i=Math.max(this.day-N+1,0);i<=this.day;i++){
var subitem = this.datas[i];
amount += subitem.CLOSE;
}
var MA10 = amount / N;
item.ZHIBIAO[_name2]["MA10"] = MA10;
N = 30;
if(this.day<N) {
item.ZHIBIAO[_name2]["MA30"] = null;
return;
}
amount = 0;
for(var i=Math.max(this.day-N+1,0);i<=this.day;i++){
var subitem = this.datas[i];
// 这里模型数据里有K线所有的字段值可以引用
amount += subitem.CLOSE;
}
var MA30 = amount / N;
// 保存指标值
item.ZHIBIAO[_name2]["MA30"] = MA30;
}
""" % name2
# 生成js
create_js = DsxKline.get_create_index_js(name2,_model,_chartType,_location,_func)
return create_js
DsxKline.show("sh000001","上证指数",CycleType.day,main=["SAR"],sides=[name2,"VOL","MACD","KDJ"],create_index_js=_create_index_js())
```
<img width="600" alt="image" src="https://user-images.githubusercontent.com/105279193/229328387-2d3543c3-94e9-4b8a-8bd1-900bc6a30da8.png">
### 参数属性
- 详细的文档可参考：http://www.dsxkline.com
``` python
# 名称
name = ""
# 证券代码
symbol = ""
# 昨日收盘价
last_close = 0
# 宽
width = 800
# 高
height = 600
# 图表类型
chartType = ChartType.timeSharing
# 周期类型
cycle = CycleType.t
# 复权类型
fq = FqType.default
# 主题
theme = DsxThemeName.dark
# 主图指标
main = ["MA"]
# 副图指标
sides = ["VOL","MACD","RSI"]
# 数据
datas = []
# 每页请求数据大小
page_size = 320
# 页码
page = 1
# 十字线回调
on_crossing = None
# 更新完成
update_complate = None
# 副图高度
side_height = 80
# 底部间距
padding_bottom = 10
# 蜡烛图类型 默认空心
candel_type = CandleType.hollow
# 缩放类型 默认固定左边进行缩放
zoom_lock_type = ZoomLockType.right
# 是否显示提示面板，十字线移动的时候显示的详情面板
is_show_kline_tip_pannel = True
# 自动适配，k线图根据父窗口的大小自动调整
autosize = False
# 是否启用内置行情数据接口，当使用本地数据的时候请关闭设置为 false
enable_data_api = True
# debug
debug = False
# 画图事件集合
draw_event = None
# 头部html
header_html = None
# 头部高度
header_height = 0
# 安装自定义指标数据
install_index_js = install_index_js
# 创建自定义指标算法js代码
create_index_js = create_index_js
```
Raw data
{
"_id": null,
"home_page": "https://github.com/dsxkline/dsxkline_python",
"name": "pydsxkline",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.6,<4",
"maintainer_email": "",
"keywords": "",
"author": "fangyunsm",
"author_email": "fangyunsm <934476300@qq.com>",
"download_url": "https://files.pythonhosted.org/packages/44/df/3c0d2ae66cc798590937872dd3204d730aeb0e8ef348173f7d75db45af7e/pydsxkline-1.2.1.tar.gz",
"platform": null,
"description": "# pydsxkline\n\npydsxkline\u662f\u4e00\u4e2a\u6709\u8da3\u7684python\u5305\uff0c\u4e00\u884c\u4ee3\u7801\u5373\u53ef\u663e\u793aK\u7ebf\u56fe\uff0c\u4e3b\u8981\u5e94\u7528\u4e8e\u80a1\u7968\u91d1\u878d\u91cf\u5316\u9886\u57df\uff0c\u5f53\u60a8\u60f3\u8981\u628a\u80a1\u7968\u6570\u636e\u56fe\u5f62\u5316\u7684\u65f6\u5019\uff0c\u53ef\u4ee5\u8bd5\u8bd5\u8fd9\u4e2a\u5c0f\u5de5\u5177\uff0c\u5e0c\u671b\u80fd\u5e2e\u5230\u6709\u9700\u8981\u7684\u670b\u53cb\u3002\n\npydsxkline\u57fa\u4e8edsxkline\u8fdb\u884c\u5c01\u88c5,\u5177\u4f53\u7684\u63a5\u53e3\u53ef\u4ee5\u67e5\u770b\u5b98\u7f51 http://www.dsxkline.com\n\n   \n\n# \u9884\u89c8\n\n<img width=\"600\" alt=\"WechatIMG548\" src=\"https://user-images.githubusercontent.com/105279193/211977193-cae8cb52-fcb6-4d95-b812-c07b157d91e7.png\">\n\n# Getting started\n\n### Install\n\n``` bash\npip install pydsxkline\n```\n\n- Currently only python version 3.8 or older supported \n\n### Hello world\n``` python\nfrom pydsxkline.dsxkline import DsxKline\nDsxKline.show(\"sh000001\",\"\u4e0a\u8bc1\u6307\u6570\")\n```\n### \u5206\u65f6\u56fe\n``` python\nDsxKline.show(\"sh000001\",\"\u4e0a\u8bc1\u6307\u6570\",CycleType.t)\n```\n<img width=\"600\" alt=\"WechatIMG549\" src=\"https://user-images.githubusercontent.com/105279193/212050752-c76aabbd-b909-470f-bad4-d68f5c2a2cb1.png\">\n\n### \u4e94\u65e5\u56fe\n``` python\n# \u4e94\u65e5\u56fe\nDsxKline.show(\"sh000001\",\"\u4e0a\u8bc1\u6307\u6570\",CycleType.t5)\n```\n<img width=\"600\" alt=\"WechatIMG550\" src=\"https://user-images.githubusercontent.com/105279193/212050872-06e0bf47-8920-43e4-a70d-24013908bd2c.png\">\n\n### \u65e5K\n``` python\nDsxKline.show(\"sh000001\",\"\u4e0a\u8bc1\u6307\u6570\",CycleType.day)\n```\n\n### \u5468K\n``` python\nDsxKline.show(\"sh000001\",\"\u4e0a\u8bc1\u6307\u6570\",CycleType.week)\n```\n\n\n### \u6708K\n``` python\nDsxKline.show(\"sh000001\",\"\u4e0a\u8bc1\u6307\u6570\",CycleType.month)\n```\n\n### \u5e74K\n``` python\nDsxKline.show(\"sh000001\",\"\u4e0a\u8bc1\u6307\u6570\",CycleType.year)\n```\n\n### 1\u5206\u949fk\u7ebf\n``` python\nDsxKline.show(\"sh000001\",\"\u4e0a\u8bc1\u6307\u6570\",CycleType.m1)\n```\n\n### \u81ea\u5b9a\u4e49\n``` python\nDsxKline.show(\"sh000001\",\"\u4e0a\u8bc1\u6307\u6570\",CycleType.day,FqType.qfq,theme=DsxThemeName.white,sides[\"VOL\",\"MACD\",\"KDJ\",\"RSI\",\"WR\",\"CCI\",\"PSY\",\"BIAS\"],height=1600)\n```\n\n\n\n### \u52a0\u8f7d\u672c\u5730\u6570\u636e\n``` python\n# \u65e5\u7ebf\u6570\u636e\ndatas = [\n \"20210915,3651.16,3677.53,3638.32,3656.22,474970001.00,60423154.41\",\n \"20210916,3664.84,3677.92,3606.73,3607.09,546741474.00,67395534.04\",\n \"20210917,3595.27,3620.96,3569.27,3613.97,516850210.00,62883439.43\",\n \"20210922,3563.21,3629.45,3560.50,3628.49,472296053.00,55987472.96\",\n \"20210923,3651.27,3670.95,3632.28,3642.22,534995486.00,63321892.91\",\n \"20210924,3637.87,3651.43,3607.79,3613.07,507304772.00,60678860.91\",\n ...\n]\n\nDsxKline.show(\"sh000001\",\"\u4e0a\u8bc1\u6307\u6570\",datas=datas,enable_data_api=False,cycle=CycleType.day)\n```\n\n### \u753b\u4e70\u5356\u70b9\n```python\ndef draw_event():\n return [\n DsxKline.draw_cycle_with_date(\"20230313\",\"\u4e70\",\"red\",\"#ffffff\"),\n DsxKline.draw_cycle_with_date(\"20221129\",\"\u5356\",\"green\",\"#ffffff\",12.99),\n DsxKline.draw_cycle_with_date(\"202303241104\",\"\u4e70\",\"red\",\"#ffffff\")\n ]\nDsxKline.show(\"sh000001\",\"\u4e0a\u8bc1\u6307\u6570\",CycleType.day,draw_event=draw_event(),main=[\"SAR\"]) \n```\n\n### \u81ea\u5b9a\u4e49\u5934\u90e8HTML\n```python\nheader = \"\"\"\n <h1 style=\"color:#fff;text-align:center;font-size:20px;line-height:50px;border-bottom:1px solid #191b28\">\u8fd9\u662f\u4e00\u4e2a\u5927\u5e08\u5144\u7ebf\u56fe pydsxkline </h1>\n <ul class=\"mycss\">\n <li><span>\u7d2f\u8ba1\u6536\u76ca\u7387\uff1a</span><b>30.6%</b></li>\n <li><span>\u5e74\u5316\u6536\u76ca\u7387\uff1a</span><b>80.6%</b></li>\n <li><span>\u590f\u666e\u6bd4\u7387\uff1a</span><b>0.35</b></li>\n <li><span>\u76c8\u4e8f\u6bd4\uff1a</span><b>1.2</b></li>\n <li><span>\u80dc\u7387\uff1a</span><b>67.6%</b></li>\n <li><span>\u6700\u5927\u56de\u64a4\uff1a</span><b>30.6%</b></li>\n <li><span>\u6700\u5927\u6536\u76ca\u7387\uff1a</span><b>10.6%</b></li>\n <li><span>\u6700\u5c0f\u6536\u76ca\u7387\uff1a</span><b>-8.6%</b></li>\n <li><span>\u603b\u8d44\u4ea7\uff1a</span><b>240098.9 \u5143</b></li>\n <li><span>\u76c8\u5229\uff1a</span><b>20366 \u5143</b></li>\n <li><span>\u4e8f\u635f\uff1a</span><b>-90880 \u5143</b></li>\n </ul>\n <style>\n .mycss{\n list-style:none;\n padding:10px 20px;\n color:#c5cbc0;\n font-size:14px;\n }\n .mycss li{\n float:left;\n width:25%;\n padding:5px 0;\n }\n .mycss li span{\n color:#c5cbce;\n }\n </style>\n\"\"\"\nDsxKline.show(\"sh000001\",\"\u4e0a\u8bc1\u6307\u6570\",CycleType.day,header_html=header,header_height=160)\n```\n\n<img width=\"600\" alt=\"image\" src=\"https://user-images.githubusercontent.com/105279193/227477956-1a5ebc76-12de-4937-883a-0131dcc01c86.png\">\n\n### \u81ea\u5b9a\u4e49\u6307\u6807\u6570\u636e\n```python\n# \u81ea\u5b9a\u4e49\u6307\u6807\u6570\u636e\n# \u8fd9\u4e2a\u8981\u51c6\u5907\u8ddfK\u7ebf\u6570\u636e\u4e00\u4e00\u5bf9\u5e94\u7684\u6307\u6807\u6570\u636e\n# \u6307\u6807\u540d\u79f0\nname1 = \"MYMA\"\ndef _install_js():\n # \u6307\u6807\u503c\u540d\u79f0 MA10\uff0cline \u753b\u6298\u7ebf\uff0c\u989c\u8272 #ff0000\n _model = [DrawModel(\"MA10\",\"line\",\"#ff0000\")]\n # \u652f\u6301\u8721\u70db\u56fe\n _chartType = [ChartType.candle]\n # \u526f\u56fe sides \u6216\u8005\u4e3b\u56fe main \u6216\u8005\u4e24\u8005\n _location = [\"sides\"]\n # \u6307\u6807\u6570\u636e\n _datas = []\n # \u8fd9\u91cc\u6a21\u62df\u8ba1\u7b97\u4e00\u4e2a\u5747\u7ebf\u6307\u6807\n N = 10\n # \u83b7\u53d6K\u7ebf\u6570\u636e\n klines = get_datas()\n for i in range(len(klines)):\n if i>=N:\n amount = 0\n for j in range(max(0,i-N+1),i+1):\n subitem = klines[j]\n subobj = subitem.split(\",\")\n close = float(subobj[4])\n amount += close\n MA10 = amount / N\n _datas.append({\"MA10\":MA10})\n else:\n _datas.append({\"MA10\":None})\n \n # \u751f\u6210js \n install_js = DsxKline.get_install_index_js(name1,_model,_chartType,_location,_datas)\n return install_js\n\nDsxKline.show(\"sh000001\",\"\u4e0a\u8bc1\u6307\u6570\",CycleType.day,main=[\"SAR\"],sides=[name1,\"VOL\",\"MACD\",\"KDJ\"],datas=get_datas(),enable_data_api=False,install_index_js=_install_js())\n```\n\n### \u81ea\u5b9a\u4e49\u6307\u6807\u7b97\u6cd5\n\u81ea\u5b9a\u4e49\u6307\u6807\u7b97\u6cd5\u6bd4\u8f83\u9ebb\u70e6\uff0c\u56e0\u4e3ajs\u5f15\u64ce\u53ea\u80fd\u6267\u884cjs\u4ee3\u7801\uff0c\u6240\u4ee5\u6307\u6807\u7b97\u6cd5\u9700\u8981\u7528js\u4ee3\u7801\u6765\u5199\n```python\n# \u81ea\u5b9a\u4e49\u6307\u6807\u7b97\u6cd5\uff0c\u8fd9\u4e2a\u6bd4\u8f83\u9ebb\u70e6\uff0c\u7b97\u6cd5\u9700\u8981\u7528js\u6765\u5199\nname2 = \"MYMAMA\"\ndef _create_index_js():\n # \u6307\u6807\u503c\u540d\u79f0 MA10\uff0cline \u753b\u6298\u7ebf\uff0c\u989c\u8272 #ff0000\n _model = [\n DrawModel(\"MA10\",\"line\",\"#ff0000\"),\n DrawModel(\"MA30\",\"line\",\"#ffff00\")\n ]\n # \u652f\u6301\u8721\u70db\u56fe\n _chartType = [ChartType.candle]\n # \u526f\u56fe sides \u6216\u8005\u4e3b\u56fe main \u6216\u8005\u4e24\u8005\n _location = [\"sides\"]\n # \u6307\u6807\u7b97\u6cd5\u5e27\u51fd\u6570\n _func = \"\"\"\n // \u8fd9\u91cc\u5199js\u51fd\u6570\u4ee3\u7801\n var _name2 = \"%s\";\n var _func = function(){\n \n // \u53d6\u5f97\u5f53\u524d\u5750\u6807\u6570\u636e\n var item = this.datas[this.day];\n // \u521d\u59cb\u5316\u6307\u6807\n if (item.ZHIBIAO[_name2] == null)\n item.ZHIBIAO[_name2] = {\n };\n // \u5f00\u59cb\u8ba1\u7b97\u6307\u6807\u503c\uff0c\u8fd9\u91cc\u6211\u4eec\u8ba1\u7b97\u4e2a\u5747\u7ebf\u6307\u6807\u5427\n var N = 10;\n if(this.day<N) {\n item.ZHIBIAO[_name2][\"MA10\"] = null;\n item.ZHIBIAO[_name2][\"MA30\"] = null;\n return;\n }\n var amount = 0;\n for(var i=Math.max(this.day-N+1,0);i<=this.day;i++){\n var subitem = this.datas[i];\n amount += subitem.CLOSE;\n }\n var MA10 = amount / N;\n item.ZHIBIAO[_name2][\"MA10\"] = MA10;\n N = 30;\n if(this.day<N) {\n item.ZHIBIAO[_name2][\"MA30\"] = null;\n return;\n }\n amount = 0;\n for(var i=Math.max(this.day-N+1,0);i<=this.day;i++){\n var subitem = this.datas[i];\n // \u8fd9\u91cc\u6a21\u578b\u6570\u636e\u91cc\u6709K\u7ebf\u6240\u6709\u7684\u5b57\u6bb5\u503c\u53ef\u4ee5\u5f15\u7528\n amount += subitem.CLOSE;\n }\n var MA30 = amount / N;\n // \u4fdd\u5b58\u6307\u6807\u503c\n item.ZHIBIAO[_name2][\"MA30\"] = MA30;\n }\n \"\"\" % name2\n # \u751f\u6210js \n create_js = DsxKline.get_create_index_js(name2,_model,_chartType,_location,_func)\n return create_js\n\nDsxKline.show(\"sh000001\",\"\u4e0a\u8bc1\u6307\u6570\",CycleType.day,main=[\"SAR\"],sides=[name2,\"VOL\",\"MACD\",\"KDJ\"],create_index_js=_create_index_js())\n```\n<img width=\"600\" alt=\"image\" src=\"https://user-images.githubusercontent.com/105279193/229328387-2d3543c3-94e9-4b8a-8bd1-900bc6a30da8.png\">\n\n### \u53c2\u6570\u5c5e\u6027\n- \u8be6\u7ec6\u7684\u6587\u6863\u53ef\u53c2\u8003\uff1ahttp://www.dsxkline.com\n``` python\n # \u540d\u79f0\n name = \"\"\n # \u8bc1\u5238\u4ee3\u7801\n symbol = \"\"\n # \u6628\u65e5\u6536\u76d8\u4ef7\n last_close = 0\n # \u5bbd\n width = 800\n # \u9ad8\n height = 600\n # \u56fe\u8868\u7c7b\u578b\n chartType = ChartType.timeSharing\n # \u5468\u671f\u7c7b\u578b\n cycle = CycleType.t\n # \u590d\u6743\u7c7b\u578b\n fq = FqType.default\n # \u4e3b\u9898\n theme = DsxThemeName.dark\n # \u4e3b\u56fe\u6307\u6807\n main = [\"MA\"]\n # \u526f\u56fe\u6307\u6807\n sides = [\"VOL\",\"MACD\",\"RSI\"]\n # \u6570\u636e\n datas = []\n # \u6bcf\u9875\u8bf7\u6c42\u6570\u636e\u5927\u5c0f\n page_size = 320\n # \u9875\u7801\n page = 1\n # \u5341\u5b57\u7ebf\u56de\u8c03\n on_crossing = None\n # \u66f4\u65b0\u5b8c\u6210\n update_complate = None\n # \u526f\u56fe\u9ad8\u5ea6\n side_height = 80\n # \u5e95\u90e8\u95f4\u8ddd\n padding_bottom = 10\n # \u8721\u70db\u56fe\u7c7b\u578b \u9ed8\u8ba4\u7a7a\u5fc3\n candel_type = CandleType.hollow\n # \u7f29\u653e\u7c7b\u578b \u9ed8\u8ba4\u56fa\u5b9a\u5de6\u8fb9\u8fdb\u884c\u7f29\u653e\n zoom_lock_type = ZoomLockType.right\n # \u662f\u5426\u663e\u793a\u63d0\u793a\u9762\u677f\uff0c\u5341\u5b57\u7ebf\u79fb\u52a8\u7684\u65f6\u5019\u663e\u793a\u7684\u8be6\u60c5\u9762\u677f\n is_show_kline_tip_pannel = True\n # \u81ea\u52a8\u9002\u914d\uff0ck\u7ebf\u56fe\u6839\u636e\u7236\u7a97\u53e3\u7684\u5927\u5c0f\u81ea\u52a8\u8c03\u6574\n autosize = False\n # \u662f\u5426\u542f\u7528\u5185\u7f6e\u884c\u60c5\u6570\u636e\u63a5\u53e3\uff0c\u5f53\u4f7f\u7528\u672c\u5730\u6570\u636e\u7684\u65f6\u5019\u8bf7\u5173\u95ed\u8bbe\u7f6e\u4e3a false\n enable_data_api = True\n # debug\n debug = False\n # \u753b\u56fe\u4e8b\u4ef6\u96c6\u5408\n draw_event = None\n # \u5934\u90e8html\n header_html = None\n # \u5934\u90e8\u9ad8\u5ea6\n header_height = 0\n # \u5b89\u88c5\u81ea\u5b9a\u4e49\u6307\u6807\u6570\u636e\n install_index_js = install_index_js\n # \u521b\u5efa\u81ea\u5b9a\u4e49\u6307\u6807\u7b97\u6cd5js\u4ee3\u7801\n create_index_js = create_index_js\n```\n",
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