python股票分析

升级mac后后遗症不断，因为其sip保护机制，装各种库都装不上。terminal中查询了一下

in:csrutil status
print:System Integrity Protection status: enabled.

只有重启电脑开始解锁了，操作步骤：

1、重启电脑，安住command+R。

2、进入terminal使用命令：csrutil disable

3、重启电脑，开始安装python依赖库。

pip3 install requests（安装tushare  需要bokeh）
pip3 install astropy（安装tushare  需要）
pip3 install lxml（安装tushare 需要）
pip3 install tushare（国内股票数据）
pip3 install jupyter（编译器及一些库）

本身电脑中安装了numpy、pandas、matplotlib

如果安装lxml时出现如下错误

error: command '/usr/bin/clang' failed with exit status 1

可以执行如下语句xcode-select --install

启动jupyter，在terminal中使用jupyter notebook或者ipython notebook

import tushare as ts
import pandas as pd
from IPython.display import HTML

df = ts.get_k_data('600050',start='2016-09-08',end='2016-12-08')
datastr = ''
for idx in df.index:
    rowstr ='[\'%s\',%s,%s,%s,%s]'%(df.ix[idx]['date'],df.ix[idx]['open'],df.ix[idx]['close'],df.ix[idx]['low'],df.ix[idx]['high'])
    datastr += rowstr + ','
datastr = datastr[:-1]
name = ts.get_realtime_quotes('600050')['name'][0]

datahead = """
<div id="main" style="width:800px; height:600px;"></div>
<script>
require.config({ paths:{ echarts: '//cdn.bootcss.com/echarts/3.2.3/echarts.min', } });
require(['echarts'],function(ec){
var myChart = ec.init(document.getElementById('main'));
"""
datavar = 'var data0 = splitData([%s]);' % datastr
funcstr = """
function calculateMA(dayCount) {
    var result = [];
    for (var i = 0, len = data0.values.length; i < len; i++) {
        if (i < dayCount) {
            result.push('-');
            continue;
        }
        var sum = 0;
        for (var j = 0; j < dayCount; j++) {
            sum += data0.values[i - j][1];
        }
        result.push(sum / dayCount);
    }
    return result;
}
option = {
    title: {
"""

namestr = 'text: \'%s\',' %name

functail = """
left: 0
    },
    tooltip: {
        trigger: 'axis',
        axisPointer: {
            type: 'line'
        }
    },
    legend: {
        data: ['日K', 'MA5', 'MA10', 'MA20', 'MA30']
    },
    grid: {
        left: '10%',
        right: '10%',
        bottom: '15%'
    },
    xAxis: {
        type: 'category',
        data: data0.categoryData,
        scale: true,
        boundaryGap : false,
        axisLine: {onZero: false},
        splitLine: {show: false},
        splitNumber: 20,
        min: 'dataMin',
        max: 'dataMax'
    },
    yAxis: {
        scale: true,
        splitArea: {
            show: true
        }
    },
    dataZoom: [
        {
            type: 'inside',
            start: 50,
            end: 100
        },
        {
            show: true,
            type: 'slider',
            y: '90%',
            start: 50,
            end: 100
        }
    ],
    series: [
        {
            name: '日K',
            type: 'candlestick',
            data: data0.values,
            markPoint: {
                label: {
                    normal: {
                        formatter: function (param) {
                            return param != null ? Math.round(param.value) : '';
                        }
                    }
                },
                data: [
                    {
                        name: 'XX标点',
                        coord: ['2013/5/31', 2300],
                        value: 2300,
                        itemStyle: {
                            normal: {color: 'rgb(41,60,85)'}
                        }
                    },
                    {
                        name: 'highest value',
                        type: 'max',
                        valueDim: 'highest'
                    },
                    {
                        name: 'lowest value',
                        type: 'min',
                        valueDim: 'lowest'
                    },
                    {
                        name: 'average value on close',
                        type: 'average',
                        valueDim: 'close'
                    }
                ],
                tooltip: {
                    formatter: function (param) {
                        return param.name + '<br>' + (param.data.coord || '');
                    }
                }
            },
            markLine: {
                symbol: ['none', 'none'],
                data: [
                    [
                        {
                            name: 'from lowest to highest',
                            type: 'min',
                            valueDim: 'lowest',
                            symbol: 'circle',
                            symbolSize: 10,
                            label: {
                                normal: {show: false},
                                emphasis: {show: false}
                            }
                        },
                        {
                            type: 'max',
                            valueDim: 'highest',
                            symbol: 'circle',
                            symbolSize: 10,
                            label: {
                                normal: {show: false},
                                emphasis: {show: false}
                            }
                        }
                    ],
                    {
                        name: 'min line on close',
                        type: 'min',
                        valueDim: 'close'
                    },
                    {
                        name: 'max line on close',
                        type: 'max',
                        valueDim: 'close'
                    }
                ]
            }
        },
        {
            name: 'MA5',
            type: 'line',
            data: calculateMA(5),
            smooth: true,
            lineStyle: {
                normal: {opacity: 0.5}
            }
        },
        {
            name: 'MA10',
            type: 'line',
            data: calculateMA(10),
            smooth: true,
            lineStyle: {
                normal: {opacity: 0.5}
            }
        },
        {
            name: 'MA20',
            type: 'line',
            data: calculateMA(20),
            smooth: true,
            lineStyle: {
                normal: {opacity: 0.5}
            }
        },
        {
            name: 'MA30',
            type: 'line',
            data: calculateMA(30),
            smooth: true,
            lineStyle: {
                normal: {opacity: 0.5}
            }
        },

    ]
};
myChart.setOption(option);
});
</script>
"""

HTML(datahead + datavar + funcstr + namestr + functail)

后续继续更新中。。。

来源：oschina

链接：https://my.oschina.net/u/657244/blog/796935