插入语句insert
insert  数据表名(字段名...)
values(字段值);
例 :
insert into new_student values("张","2014101010","昆虫",13030303030,'1990-01-01'); 
insert into new_student values("李","2014101011","昆虫",13030303031,"1991-02-01");
insert into new_student values("王","2014101012","昆虫",13030303032,"1992-03-01");
insert into new_student values("江","2014101013","昆虫",13030303033,"1993-04-01");
insert into new_student values("孙","2014101014","病理",13030303034,"1994-04-01");
insert into new_student values("徐","2014101015","病理",13030303035,"1995-01-01");
insert into new_student values("朱","2014101016","农药",13030303036,"1996-01-01");
insert into new_student values("菊","2014101017","农药",13030303037,"1996-03-01");
同时插入多条语句:
mysql> insert into new_student values("邬家栋","2014101780","昆虫",13580303030,'1850-01-01'), 
         ->("蒋睿","2014101058","昆虫",13030303089,"1991-07-01");
 aaarticlea/png;base64,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" alt="" />
注意:逗号分隔,语句结束时是分号。
 
insert ... set 语句通过等号赋值
语法格式:
inert into 数据表名
set 字段名=字段值,
...;
 
例:
mysql> insert into new_student
    -> set new_name="徐晴玉",
    -> sid="2015010111",
    -> major="昆虫",
    -> tel=15468972013,
    -> birthday="1990-05-23";
 
简单select查询
语法格式:
select 字段名 from 数据表名
where 条件表达式
查看某个表的所有数据:select * from new_student;
查看某个表的数据的前几行:select * from new_student limit 3;
aaarticlea/png;base64,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" alt="" />
筛选出符合条件的的人的名字:select new_name from new_student where birthday >= '1992-01-01'; #生日大于1991.01.01
aaarticlea/png;base64,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" alt="" />
筛选出符合条件的所有人信息:select * from new_student where birthday >= '1992-01-01'; #星号代替所有字段
筛选出符合条件的所有人信息:select * from new_student where year(birthday) >= 1993; #year是内置函数。找出大于1993年的人所有信息
 aaarticlea/png;base64,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" alt="" />
带结果排序的select查询
语法格式:
select 字段名 from 数据表名 
where 条件表达式 
order by 字段名 [asc][desc];
 
例:
mysql> select new_name,birthday from new_student
        -> where birthday > '1990-01-01'
        -> order by birthday desc; #desc降序排列
 aaarticlea/png;base64,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" alt="" />
限定结果条数的select语句查询
语法格式:
select 字段名 from 数据表名 
where 条件表达式
limit  row_count;
 
例:
mysql> select new_name,birthday from new_student
    -> where birthday >= '1990-01-01'
    -> limit 3;
 aaarticlea/png;base64,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" alt="" />
 
#先对结果进行排序,再做出选择
mysql> select new_name,birthday from new_student
    -> where birthday >= '1990-01-01'
    -> order by birthday desc
    -> limit 3;
 
aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAAn0AAADhCAIAAAAyKpSLAAAXb0lEQVR4nO3d2YGDIBCAYXuyHYuxF2uhlO1jH5IoxzCcRjT/97QbIyIoE/BgmgAAAAAAAAAAeIBl+ztsy9XZeRszV3As29+fWefU1+bV9K3DzO2etv0k6+jl2D3d9+sX6GXMo/e8XBU23gidHncjGxg87nJk5epTUr3rl/rD9xB3Uej0Irxl3B3zRBoScReXW7a/P2PMZ3jqM1b1PqDm1fhHg3d8JIZmj8VmXYQjVT56l63xkE4NGM+r0Zar55S+rr3ULjgnR4XDge8it8syOD/FXM2rEc/l2Ofl240WtH5cKXlOeuVqOdb110yNt35qd//eZ7f0OioqDeloj5ZV+ixTOIUo7nd0f8P1/SM2VYMxVx2xn23LBZFVv/4+yEmLrVnseNZLo6VlwF0t27uWXweNWWc37KlHY7gwPKXthMIDSo5wc7xRzdwlJVfHLgv/ablKr+v9P6+b31RU/ap1iy7SSou5kn/A5P5UT2132eI7nzquMmohK1fREo3v5GtHjNkXzuvqN8+R/q5WGvrRrpVVVpufoNSpsr/eXjjZStag4qojNnnuS9+Jrur+n2jNlOM5WRpKrvBMR3Uffzk/Lt3jQQ270aSnafqcvtkR7pOC8Asxd48yF4efxHKlr5tz5tTHXTucG7XRtj5pG05IbNcXNEzKcZVTC1qu/OOqpKkWD8R0TspqIbERfe2KoyQVd8Vlai0kWwbFlUdsMn91cVev32RJJs8j4u5Pkc4p9+yyDgjvp9q7Wxo5IYJzVDre8n7I7vE359wrzNUknNVKUx5fN6tNqo678RZBzdWxsLzxzOiFhYOcYdyVjqusWsjMVWR/EnFX2VJVu5w+2uNl5aUW6RDpUnFXWiQUnPXddMsQd9URq5/7kczV5dkpVf14zhrNIO7+lNjZ5f0+i/0WdRuT4GrKFXE3nStJTtzV1235rV22Utg50nNVOViYai/8+BDp70rHVVYtZOZqjLibONrVsnL3ou6GnZq4K+2oFC2iLUPUVUfspJ77ym5n5Tlev2UtA3EXOWfX+/+cMWFvrca4WzXOXJgrSUF/N3eplZ8v9Hfdlc06z6sx67Ia87q9I/9Kam0PQD+usjswGbkaI+4W9odiP2FTZ1nU9/q77XH3vCM2yETs5/MX+ru5Keu5wjNlnV2vX+smcc7ldI+CBMRzyvrNWnG+pXOV1cGOXN8tvi5Y/J3kSsKVp3iu5tX8mW0zZp2neTVm27JDXlkPwK3fxHFV2ZR+VtW7jtrH6hJ5xyIfl1z/08vK/jB5lkXUxN30Vclz4u55R2xy/+Kf+rHTH6HQWzN1j4i78OWdXe9A6B0XS3CPpvsFaSjGPzjFM7mhVU7n6pUT79pa/Gd/mLP4ut5S4X7mqmt3yfNWzdWr4F//RiqhbrvOVj8/lTLjblYt2EON3s7GQ5qzblXcjdRRqhbUo10tK3d361rfqrjr76qTyxPj7plHrH7uCzst5kmoikRrpuxRVtytahlwV7lnl9IJ0MaC7ZFi6fnd6WiFalucyE6paboXgaLNtrhYX9demtx0n/iXypXdIgStQ9N23X0pGGdO5tn+ghB3led3xUttqTFecbte6hm1oB3tSln5+1ZzEtTFXS9fkf07Ie76G+50xE4Z5/4UPwft+psL61fZo6y4W9Uy4OF6jIJUXrnCz/KHlJ+OsUYAH30iJnEXRUq7OjfH+QFgmqZjaKVDe0C7ghItNz3fTMezDAAwKvFKKBeYMCyOWAAAAAAAAAAAAAAAgNOM+YhkZq663xFeWBrPuCN9fxua/Fq0/fUF0feVRW/k0Zfai4sLUV9XzfN5KSdKEgCm6WfjbuY7h0/b/ki0aPH+SN5R93lif219qVPUpeWor6vm+dSUibsAMtw67nbfAHE3/9WKYljaC09fGiwuKfjMdSsqpzVl4i7wHPWncexdC/vn76bFeROr9OXo2NunEdpTEOaCKB5NTLxzOD1EGc2V+Mij/85hrTT0d9I6ydtLhNe858aasxvxyrgbZt8+2PSlcve34PXcGetWxN3WlIm7wHM0zAOYajnciUQi0SEyj4y1ijH7h/O6yt8ueM2hN71JLEIl5tiJ5EpJMVUa+hws4ewvWucpu4vXcxbISr3jbvhzMP9lXLnrlsfd81IGcFtqr1QWvzL3+tCLDumRNv8TcerUzHWj/AkAIi1dIu4qbaMWd7NLI7ERfe3yoXS59qPvLOoZGLLHmd3fLNGl+87vf+THstx1y6PjeSkDuL29rc04+Y+f7EdLb/2M13th0u99rwcdbYQy1lV3MOholnQ8Uk1j5vXdRGkEW3FnPvNryEqtZXbRktrvJPe+qvjwhruUuAtgEMnJat+KWt5PrLMmb7XCnx5pYp2pnLibsa6a5/HirpirYyt+LA3zsO9FU8s9TNydnEp+TaIbzhsrLc0Y0Y2eC82jweelDOB5KsaZp8+NpPNqzLqs5n3bUOzSabq/6ynq7xZkecC4q/d3073h/aO6hnuwcWY5g/rQvtP9fd59VQCeo+3Omnk1f2bbjFnnaV6N2TbvxlLlbp90cxhvhBpu6uxzfbd33NWv72Zd+P7c71VSMoPeVxUoCLsPfY4IwHM0Ppbw6hIdF3n/vI6HepdtcBfysoXhJZK51LqJHLfez6wUWeT6aqo01PuZnb39BEs/D+/PC8crrm7lI8W5rO4Dud5ddPpSq2hLA1nWulXR8byUAfwW/1ZS99mX5NMt7t1C3tJEI6Suq2ZYeX5XHFtNjfEqGcv/FeKO9vrP77ppxoJV8Y3MFwpvFBP69FIVpZd6l38LM6asm8jzdSkDAC5wq7ALAMCtMUQJAMBXfMYviboAAAAAAAAAAAAAAAAAAABApS89B3PeQ66ZKXffz8I9uup5I55zAoCxEHcrN0DcBQBU+JW4230DxF0AuJH2N+M7b5YN2v9Pa7u/mjYyi2r4RmI/afGNttGUo/T3Myfest+Q8pR+aXB0j8SXRvtvftZmctTL2UneXtJSGhnbVes3milhXV6OCeBGGmeC81rmYJagfXY6awr31Z5XJzYDj59WUcqa1HxEObM51KVs5zsed5U9Uvq7x3bDWKmX87LFC72lNJrqN9xsGP2dqf82Ii+Au6me9z7RHxKnipW+6X2xJeVkltX5d93tFASaPjP7JuaZjcXd7PlnExvR1y4Juw31m9gM8z8AeJI9/uYEtHk1fgPot9vqTKPxbpmQsj8kXnm9MGi0g01Z34jMpVubciLfqT3KvL7r/q+X8/6BI/IzpKg0Wur3naNIUcjFCgCDyb0cVhR3pUCQGx3FKOUPSwa+EXePT8o2MWbc1cs5iKVhHnqWRn79uj8GgsvRxF0At1c1zvzd/q6QwDlx95N04RbGjLuF5Szkoa40muvX3p3gkCLuArittvuqMq/Ciimnr//pGWqIu8mrsJ87nIo20Of6bu+4q5dz1kXzqtJort/sHQSAW2l8jijvfmZ5A0X3u74+yIvoqry7jt8/R4pa9z73Myt7FLm+mgpLajk7pfz5ESb+DCmOdfX1G95j7W2a+5kB/LK853dlJc93pka0MyWfsnW+V9KaJ1IWL2mmxng9doEoD93IcSpSzm6akTxUdjHr69cuLXHDPL8LAI/CWKaN0gAAnIl3GtooDQDAaT4DnMSZaaI0AAAAAAAAAAAAAAAAAAAAMLDU1OQfLc+hnPIMi/sKC+7VBQDcStb7DU+Iu3Vvc/Beo1w0uR0AANe76r0KlXF39VbhtRAAgK9pnBdhmqbUnEOR0dxle89x81oYvqAhsW6gfi96lAEAADna5gG00igdZ96nlHnlwKyzGAD7jzPnJRPM+goAQEdV896/Vcfd16aOv+JT0Efz3Bx3w6kLj4+JuwCAk+3xtyDkNMbdI9p+Pe6K07wDANAsd7rSy+OuNEXrSXE30tUFAOB0F44zXxN3CboAgAv0uK8qdUPweHHXe4YXAIAv6fIMTaLDe1bcrXzlRdYtU9Zd1gAAjMbqNh+xSnzM9rM4EXfVdaXN5v56sFdRkibuAgDwPYxEAwDwNdx1BQDA1wgPEgMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHxRar5a5KIkR0AtABgd7VQvlOQIqAUAo6Od6oWSHAG1AGBM4oyy3sSx9uSw4Xv5WfpCSY6wNKcWAGAM9A96oSRHQC0AGB3tVC+U5AioBQCjo53qhZIcAbUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEB/82qE98+jXEVJLpv08n8x5a7vYMrc7mnbPxHHM4DR0U71MmLcjWyAuAsAl6Gd6uW8uFuPuAsAo6mPFsecp8L69kSpe5Md21ZmHjK268zDakeKZfv7M8Z8Fny+5wQTMc/5qktyObbrb9XaHzFDn4i4f++TAXFC2j2JopJ8Z9DZfrSc59X4qZ3+48JB3AUwuspocTS3kZbWbeTf/y2bFD9yu1Op7S6bnUokE6/gatbZy000z9maSzIaoeIF9CoEY/aF87r68THS39VK0tmgl0m9nMNNfjfsEncBDK82WhwtrR8VwoZ2/0QOIHI0Lt6uLwger0wdf1m7ruQ5W21JWutEdikRd5VC0OJudg0mNqKv/eWwS9wFMLwOVyXd/6UE98h6LBTDX8t2P9uWh1alzUl/CXnO1eP6rpxGIu4qucy8vpuowWAr8XL2UhMGQ05G3AUwuu5xV7yyGIw0x4Z767cbtPGR/q4bbV9f0POc6TFxV8zVsRW1nN29uOCGLOIugNF9pb/rrmzWeV6NWZfVvG/uyWuaW3ppetzt0lg/Ju7qJZnuDe8fXXEfNHEXwOi6x91E/3VezZ/ZNmPWeZpXY7Yte/tlvTT3qqQed8sHlWN7dsX13d5xV7++q5ez/aEx3w+7xF0Aw+sfd4W7gV+dXGuhdZE3fzg3I1o4vbKc67vuXbuxPGe57H7m1L1l8kNCWg2q9zOr5eyk8OVLu/uGibsARnZG3J38O2+iUbnoeZ3kdu2NeqOcybir5zlH/+d3xcvOqTFeIVdB6hk1qD2/q5Szv29fD4DEXQCjo53qhZK0XRR2qQUAw6Od6oWSPFxxR9WxZWoBwMhop3qhJKdpOgaoL3qfM7UAYHTjtFOxh2ivbMVLjFOSv4xaAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADgd1z3Rr+noSRHQC0AGB3tVC+U5AioBQCjo53qhZIcAbUAYEzRdyFHZlkN33jL0hdKcoSlObUAAGOgf9ALJTkCagHA6GineqEkR0AtABgd7VQvlOQIqAUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFBk2ZzX5Xr/AgCAt3k17TFy2f7MtuyJzKux/n1OFK4uq/11/tKLlOx3+ofL9aXO8tKsWasGKdsTEJTvs5ZyojTSuhyxAHCZmlZMnP3FGCP/uy3TNK/bA1rKuhZ/2f7+tiXyAsNls+PP+6uZS19JHhkqKmT715CftXk1wWQ/+TFSSzlRGlmIuwDurbEVe62+bk4a82oe+YbcprKSIo0YlvYt6EuFOFyfGX1MoiRIZqZM3AXws5pjiVmXWVt92R7zmvrucTcMSvYm9KUtYTdcV02sJEhmpkzcBfCzGlqxeTV/2zKvmzvCLHhI4B0q7r7/1i+lZu+Ismuvy7EF3d2clIm7AH5WbSv2vgZo9WaPQVC7UX0F5375vdJ3xpmdoosvfQdc5+pvSafUrLP1R2Rbxb+aclKW9y0bcRfAvVW1YvaNN3tg3ePuspl1nuZ5dhY/QPe4K905FY+l7tIwzubfOJ4bHY+M94zoe6LEXQC/qKIVWzZ3fFMdYCbuWiunngR6FZeziehSeUTX2YL9MJDz1aJx5kmI6M0pE3cB/Kw+rdiyvR4c8lNalpW4e6ycLgn9ZilnqXtzc/YW5M3o2+2fMnEXwM/q0Iq9u7TL9me2zXh9IO9Z0Fs7P+4WhN1wBL/gBSVlzxGdkDJxF8DPam3Fjl6X1f+yEiXuWitL76Na7Z8ofoxKLPW6v53ebuE/+dX1vRn23hB3AfyihlbMa4+Dcc9P8k8ZZq4sK+eVi+ElUXtxZDw2ujT9GkmN8giSe/W+53siE6WRgbgL4N6qWrFXuxo+jGo/R1TdaI+LFn8E1AKAe6tpxWb1BVXW95blUc0jLf4IqAUA90Yrlo+yGgG1AODeaMXyUVYjoBYAAAAAAAAAAACADhrehQAAwG9ovEvl9aiu9cYqsz33lpfqstofaC5/9UXqxRjW8tKs6VP3qnm+LOWJ+6oA3F1bK+a+Mdh/Y9WyPKvzW1dW7zLKnQfQ/oq+1H915LwW/ObR3+ao5vmylKc9TeIugPtqasVyJgN80MDzd+a9d2Y2ji9NTaJQlJl+sxcwLwIA6BpasXk1bsspvqH5QbrH3TAo2ZvQl7aE3RNn62MeQADQNVyzDEY1ibuJlXvG3fff+qXU7B3pNTs9894DQEJlKyZeS4zOSPSQZvI748z7J/rSd8Ctmgdwj+j7H3IcLI+O56XsrPqQAwrAT6ppxZbtz6xLOKGbyKxzOCJ9TyfMvxveORWPpe7SMM7mz05P3AWAy3RqxZbt72/btj+zzkW31d7KGfPeew/dBJuILpVHdJ0t2PMxOl9tHg0+L+U04i6Ae+vRin1unfmMMy/bk+5iPpwTdx36zVLO0mBUvyCWcV8VAFyluRWzmn/3z+fF3vPjbkHYnebV1I4z8xwRAFymOZa4baz3eGn5S5RGdkbcXVbrvRfGL6/EUq/7WxLJ9Ldb6Hm+KuVj1ScdVQB+TXUrJnRkwvuZreuAD+j91pWVfS1UuCRqL46MxyolmHqNpEZ5BCmR5+tSnoi7AO6u8n7mWIx4dIP4+B28BWoBwL1VtGKx1y7Py/Ls1pAWfwTUAoB7oxXLR1mNgFoAcG+0YvkoqxFQCwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA4KVhYhg4KMkRUAsARkc71QslOQJqAcDoaKd6oSRHQC0AGJM9bavDarHsmVLD9+Gy9IWSHGFpTi0AwBjoH/RCSY6AWgAwOtqpXijJEVALAEZHO9ULJTkCagEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgK7cl8k/5h0/z3xj0bJJ8wTYdVi8y/q6LSmf5pl1C+A3LJszpcu8GrFdv6ER2+ZI1Gxc3/60dK/1dVtSPte8moccpwB+zbJ6jddYzevDNMbdZROqxq+wkm3o67akfD6xMADghsras0/bvA9HOg2zPU/qsSTWV3E+d0a/y9pXZWj0HTqObxTGkVSunB32QlbrpLCRX0RBfRVUoL5uS8pTfVmFS+VKIvACeIbCTs1rYNqYvQGc13WxF+1JLdvevMotphVX/EwsW3k/SwxT71jw/rhwVD2VK2sPg//kFIrES81NMn8IVl+3JeXGsvL+n9ct8jONwAvg7qRgoXp1S6Q1whizfyK3mEdc6TKgGY+7doNe0HQncqXsb24SqkjQ25NMlK6aZXHdLinnLrY/yS2lsca9AaBcPIYm1pFWEcLE8d1j4dF2Wiu8xxjb+jLRuOt2wwovhkZzJYVFcaC2NlIodzKPF3dbyiq7V829VQDurbirO02T0hRLYcLt0W7Lp33eW3evJ1p7JTSes5a4q+dKvIIrfalz3B10nLmhrLILibgL4Mbqgu5U29+dpmX7M+s8r8asy2retzqJGXg10uV5OyPuKrnKCgInjDOPe1+Vs1pBWWWHU8aZAdyV9wxvkfjQo34Nb17Nn9k2Y9Z5mldjti3e2Na1r+fGXTmpVFA64b6qWzxHVFZWmdvhvioA91TbnXxTGr/4/czHdo+LvH9uR6u9ue8ed5O5CgYNXp16P08tHd7kkH7sS7Fq1tfNSVnUWFZZ9zPzHBGAO3Ivwu3yQ4PeGsvP777YbWs4zG1fAiwLVOLFw9itsoUxPZkrtzwjl2Pdy5mFuyavZGVM+4IykB9bN5myltmGsko9v0tvFwBwOu4k+qAkAADfwL1E00RnFwAAAAAAAAAAAAAAAAAAAAAAAAAAAACAH/QPsXfrCEeY9GAAAAAASUVORK5CYII=" alt="" />
 

更新语句update
语法格式:
update 数据表名
set 字段名=字段值,...
[where 查询条件]
 
mysql> update new_student
    -> set majot="昆虫"; #将所有的专业都改成了昆虫
 
mysql> update new_student
    -> set major="病理"              将major修改为病理,注意major后面没有逗号
    -> where sid='2014101011';  #where是定位修改记录
 aaarticlea/png;base64,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" alt="" />
mysql> update new_student
    -> set major="数据挖掘"         #修改major为数据挖掘
    -> where year(birthday) >1993  #查询生日大于1993年的
    -> order by birthday limit 3; #然后按生日排序 依次修改3个
 
 
 

删除语句delete
语法格式:
delete from 数据表名
[where 查询条件]          #若无where语句则删除该表所有记录
 
 
例:
mysql> delete from new_student
    -> where new_name="孙";
 
 
 
新增指标
mysql> select stud_code,sub_score,
    -> case when sub_score >= 90 then 'A'
    -> when sub_score >=80 && sub_score<90 then 'B'
    -> when sub_score >=60 && sub_score<80 then 'c'
    -> else 'D'
    -> end AS AB from stud_score;
 
将新指标保存到一个新表中
mysql> create table stud_score_wu1 as
    -> select stud_code,sub_score,
    -> case when sub_score >=90 then 'A'
    -> when sub_score >=80 && sub_score<=90 then 'B'
    -> when sub_score >=60 && sub_score<80 then 'C'
    -> else 'D'
    -> end AS AB from stud_score;
 
 
 实例
1创建一个含自增量为主键的表;往表中插入记录、修改、删除记录。
 #!/bin/bash
#文件名称;auto_table.sh
#文件功能:创建一含自增量为主键的表,并进行增删改操作
#创建时间:--
#创建作者:邬家栋 mysql -u feigu_mysql -pfeigu2016 testdb << EOF
drop table if exists wu_auto_table;
create table wu_auto_table(
id int unsigned not null auto_increment,
name varchar() not null comment "姓名",
major char() not null,
score int() not null,
tel varchar() null,
primary key(id)
); /*插入数据*/
insert into wu_auto_table(name,major,score,tel) values("zhang","数据挖掘",,),("li","昆虫",,),("wang","机器学习",,);
select * from wu_auto_table; /*更新数据*/
update wu_auto_table set major="计算机" where id=;
select * from wu_auto_table; /*新增指标 */
drop table if exists new_table;
create table new_table as
select name,score,
case when score>= then "A"
when score >= && score< then "B"
else "C"
end AS AB from wu_auto_table;
select * from new_table; /*删除数据*/
delete from wu_auto_table where id =;
select * from wu_auto_table;
EOF

aaarticlea/png;base64,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" alt="" />

2 修改stud_score表中 stud_code=2015101000的高等代数成绩,并将结果保存到一个文件中。

 #!/bin/bash
#文件名称;pandas_alter_table.sh
#文件功能:修改stud_score表中某行成绩并保存结果到文件
#创建时间:--
#创建作者:邬家栋 ipython << EOF
import numpy as np
import pandas as pd
from pandas import DataFrame
import MySQLdb conn=MySQLdb.connect(host='localhost',port=,user='feigu_mysql',passwd='feigu2016',db='testdb',charset='utf8',unix_socket='/var/run/mysqld/mysqld.sock')
data=pd.read_sql('select * from stud_score',conn)
df1=DataFrame(data)
df2=df1.ix[,['sub_score']]=
df2
quit
EOF 问题:做到这里不会做了修改之后不知奥怎么保存。最后几步有问题。

aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAA2EAAAHLCAIAAADOdgfJAAAgAElEQVR4nO3dZ5tUVaL//fUeeOA1MCC2jiISGptMd9MNdBdNFqkGpMhJEAMCoiJYghgGA2McZwZnnFYUmmhoAUEZtAiKYZx4Dv97wjnT521wP6i0wwo71K7aVf39XDygq3ZYe+30q7V2ED9Zt+wna5f9+uzpn0wYKwAAAAAhxE/WkhEBAABg13/tsv5kRAAAAFiREQEAAOBERgQAAIBT/7XL+69dTkYEAABAERkRAAAATgPWLh+wdtlvzp7uT0YEAABA1oC1y8iIAAAAsBmwdtmANct+85kpI6a6MumG0s021dXbW9IJRqMhnent7UpVtAyprt6iCpelRLRrv2LLWyXbJAAA5TFgDRlRLQ4ZMU9flkpVaKD5ehqp7HVfJdskAADlkc+Ip5QZsSGdKX27TpWcj8mIJmREAABq04A1SwesWfqbz071Hy/LiIUTda4d0V9zorrbMHc+Lg7gY7LZcVPF6OoOEsoZe5iv9buUK6doe0JDdZOaRlZkJttoitG1MT8/3cKEvK0KD/M1rAXtGjRkxOA/XKLZJgEAqDn6jFg8T/vva3Y2y9imkDsR587RDemMjzOyfVx380+qy3ruT3VZs4BpvrZg4piRfsr65fWwTOopS4omm4CiBiUVYJtKthIymcKHDem099ClnK/3taCYhnp5TUvkvbQl2yYBAKg5A1YvHbBa3Y5YOKn6zoj6njvHid1Xv2Kqy97GYxjZHfvU83UUOttapZy0a8olixSyRQqWEd2fOz8xLKSB18V2rwXTGlQtr3mJAhY2zDYJAEDNGbA6NWB16jefnfrJ+DGy74udej4DUG5ExUnW3aDjfQauYRvSGUlroLQTVD9f+YSsi6Cesn55zdRTVpXFRlGBriXKDWqZTrgspFlx3teCtJiKcnlYIqXotkkAAGpO/9Wp/qtTv1ZmxCzL6d7HWdMeEmTXfin/1jEkDGcnoba1z/63dMrFgmunrF9eA9OUVZ8VKSpQetVgbxkyoq+14CcjelginYi2SQAAak7/Van+q1K/PqPPiPm+5qAXaWVP7OpO3RJmRH1bYJh2RHMro3p59TxNuWTtiJJBSp4R/a2FsO2IgUtesm0SAICa03/Vkv6rlvz6zKc/GechIwY/QztOuGEzorrRTX+5nWG+2usRfV3I5ytgeJuytkdVdz2iPgBGkhHNa8F8Rami6F47ln2XnYwIAIBF/5VL+q/MZsTR7m8b0pncWTKbEX2cNt33terOv74zoj72Oa8S9JoR9fc1m6asWV4vi6SasrRsTuoWXtd9v6ku9SL7ppqvcS1oVoqpYKYlKs7CMXZ02yQAADWn/8p7+q+459en5RlROC/g8nXOtF465hgxfF9zujhxaZgqfOejr9lRavfzETVT1i+vkX7K7oEUz4qR14h2HYa9f1c1X+NaMDwfUbu8xq1S1dsf0TYJAEDN6b/CkBFzSvwuvjA4dwMAAESMjAgAAACn/svv6b988a9P9xgyYoyQEQEAACLWf/k9/Zd7aEdEcKpH+ukuxau0aiwzAAAoHTIiAAAAnAasuGfAint+c/rT/mREAAAAZFkyovYZ2gAAAOg7BqxYMmDFEjIiAAAAigasXDJg5ZLfnJFmRNeNCyW7nbiS9ybbl8r7/Rf25zYHqZPCFBSvmAt1V4j+NYnZyVfn7eBhn/LdV+jex2jYWHNbpudK9rj/Bl1z5vHCvrbbvADByp5SP9o/ANtBofx7gO2IV7Zjh+FIaP3aZ5WYjrH6lac7egtPe1kw+vkaSqWlXd6g257kNCl/CZZiwhzt48aYEZ3vEfG5/Xt8n2/ZOJZB/Qo7rxPz9VLmrpR8FyhFqbRnzfxeWZUhsXqOGpX+6aN4+451y+qSFK8hnenNZPxUcgkyon4SpgwYLiN6KX6QrS6q9a8vS/RbXdhE7p3hSGh/DaevV7ebjrHWWnTXt+7o7XEvC0Q/X/235ikrl9ddz56nbyqMvp7zn1bliapG+cmIQY5GscuIacdcgweQYPlSnhFLUCrdnpVdkb4OqTFCRvQ4a+VJxDiq+7WT5rmFXFDTJPRFD3Ue8VQrAXfBSDbUPpQRdUdCaXTz/ApX7TFW9l5Vz++Qj/7Aqt8ASrCp2pfXufR+ZuCvqPJ6rtYzVW3ylxHdu5V9/VrWuPQBe7ZfJpl0g/XdyLr3D8t+8OnG9SPo9hjwhOBxNP+l0hzH86vFOVEPNWnocbCuJNfIYdag7q3ZIfvgVGU2v69ZPVv91u6hNjKZ/Dj5SflaLH07g1buNOtvcza+cVvTneShrsyFD5FaNEuq3+rsq1D1bnIPG4hkH1T+rSuy15oMzVHb+jJHd3x2103JfipIm0M8doSWIdGUPCPql9dZraXLiB7rmZAYI6HaET0c3zTtiMXjmTttOj6xNXabxvUn6I/w6C61Clgq9eGyMDHZjzhdTaa6XEOrOyQcPSxh1qCtnPaBzaXS05TZsDW7v5YnW+k6MNZGVyqfNDLpBv/HSPUZzXa21jSB+M+IjkWQLXfwvmZTiUKEA1Xd6rc6L91vqhLrttgwGVE3Skn5zojRHJ9LmxGdnZ5epixbER72stBCZMRsueRlVn5in6L2JC7dCVS/WcLUMyok3PWI+hZq1WfCdYg1t0A7WyjV4/riM2GUYEQvxQ00ceXh0jJHx8x91qSnA4fyW+9r0DFu9qBTkh/R2jJ7ah0JNn1jbWT/W/yfz3OfYnBn0JGmfGU/no7zUKC7TitoRtQOETwcqMbUb3XaNWgbx1yHrjBagxkxkuOz/DLBYBNXJHXl72lVCTzsZSVQ6ozoaXkLqVfTPSXNiOrM4LWey7BNw6uQ9zVbVqX8B6MmI6qPMpLDuGVT8nRU9cIQPnSCHweMh8ygpVKd+9zNIz7aMNydaPmR9SfpMGvQNa6rytSl0tOX2Vwq44wUm6LX2igO5zMCefsl5hzQNpMgfc2OdeSvOcC82+oqIXhG9LqOXNfVyH7+2pdNvbjqLbY2M2JUx2dJY27QY6X8Z2nQjKjrbiuBUvc1m5bXQ6N5oKJ7zoihLiJASfnra3YrrEt/vwf8t9kUy1KiY1CYDT/EQcCwP4cLn4pzn6PpsDCUoSadqV/b/uFejKBrUJo/HI0J5iYsr6VSfysvhzaWetza85/pM6LPHnRP2dTRpmyqRusSazoQpLNSTlRfZm3xvX2n53UdybqeXTxlRF/7ERnRMpqi475Y+4E2A8mUS9DXbBgqnFJnRP3yyttrg25i1ql5rWcyYoyEzYj5LUC1mca0HTH8L6NS7DElL5XioOaUHyxMe16l2hHNrYxqYdoRXYP6+EUUrB3Rx5ag6T/VZkQZTxt2WTKibojg5xCvJyUfW7t0FI9TJiPKeD0SejlDeZqya0LyKUtXhG4vK5FSZ0T98ir6kwIukWtz91DP9DXHSOiMmEtMqqerBcqIkrEsn4Q+BqW6vJ4KpUJFRPXeFrJU8tOYu6zWT/wd6x0dNH4bEr2vQVlzpvL4JemQUtOWWdawphxYPiXV9D3WRuCMqNpTG9IZr+0B/vuaPTTmhsqI2hKFaGfwdlaSbO3eDoWuofRbrLetTjv7CM6nqZTryjTL7PVlLuPx2W9EVE/Zueo0v/akre1V1tesX96StiNKeoEC1jMqI3xGzDdIaE495pOp9DhqP+z4++WtpGoC8jyQ6SeuYQbq80jInUJ61pTUjaVqPWQ127nMUUZHTfi7r9m49h3dfPKLYySl0tOV2fqda6NOue5NVR3aZNuit9oInhG1vzw8XVcUICOaLzzQTdT4U0t79AmREVWF0m51kspzNR+ppqzfYrVbnanMxS81lZGdqu+YZogMuj0luuOz5SmHfn+rm6ZsKaayujVr2LSXBVgLxvl6+dZLn4dzApIfSIqTuGvK9uOkZCV5qmf/7cOIzIBVqZ+uSv3mzKn+44NmRA/NM3nKRihVlsnTDevnGKToYHOOrjmcGHtBVONKZm3bVcylMi+adDlkP3uzHxpr0r7uJHu0dQB5I2bANZg7R/f29rqfVGcslZ6mzNa5NrhKVfxW3wdaLJvP2gieEXX7qrXY6kn6z4ia5yNaZ+lt+5D20BqKG7ipRllXuq1OOPdTH0lOv8Xqtzr3JBQzVq7iQOlEubkayxzt8Vm/qGGmbNtspQdNzajmvSxYRtTP11gqYT6XqYps24c1o8v3XO2o2vmKIEc/ROinuozoUQR9HfAt1FkTVa+21r9pacItbW3VlYn3vltEh7XgVd/aO+Nv4KqlA1ctPfDZqf7jxwabAqE/Htiz+rra+a1mPqaE3dprp66MjD0fKAPWgkfkibgZuHrpwNVBM2K+zZg1GgNkRPQdbO1eUVNxwFpAtcpnxNOB2xERDxyF0HewtQNA9AauXjpo9bIDn50eQEYEAABA1sDVSweSEQEAAGBVyIj0NQMAACBn4OpluYw4gYwIAAAAIYQ2I0ofhCt/Tmf5FR6DW2VPZA9wZ3/ox3REV1dxWAvyGo3mCQpxWF43VanMT8HNqranTYRfC6aH+PYl4dZ+9dVktW3tQGUNXLNs4BpjO2L8niYWz7O1WVQZUTcQGdEu+NYch+V1M5XKtM1V21kz7FqI39GsksKs/TjWpKlM1ba1A5U1cM3ygWuWHzh7uv+Eceqh4ncsiOfZOhJkRK1gr60jI1avkGuh1qqjcmJZk/E7VwHVbODa5QPXBsuIkneqW4YzvNG1OIVgXRWG80SY9wiryqxf3uIgXaliD4zlS1OvjPJdsbmZ2N6QKhtN2bFYsYxoXguKuhKGbUP3Xl1NPZvrytA9G6Ym9S/ANdSGVvCMaOwp1K5B5TrSb7GOGfs/MgRdC9JX9rp38VKvo1RXb28mk8nPTvbigVDzDXwUNewpmjUYWU16qCvlpmPcuz29JlhWZvP2DNSsgetWDFy34sDZ0/0n+m9H1L29PbdDOYKOY+TivlrKVxU5ptWQ7nLGOPsL6G2F1JVZt7yWiWcyhZk3pNP2ZVKcrxucoVBZKklSlRal4rRrQejrSrtt6OpKSAeSlExWV+7VW7Ia1W11lgF0W07ImQfoa9avQc06MmyxpnqO7shQLI8ql0awjgoTymaQTLrBnm5DzTd8XUmrw9MxJ4KaNNVVqsv1c1ARb/0tr5/zgqo2gJo0cP2KgeuDZkTH57a/Ul3231uOXVOeGUux5+mno52vocza5S2OoD1Iy49QjinZJ6OLSB6XuvzM5VHXlX7b0NaVfer+MmKEVWje2s1bTnDBMmLY/Ui5xRrqObojg7w43ucbcB0VJ1P8n+U1MWHmW4q6UmdE0zEngpo01JWXAgTLiCG2Z6CmDVq/ctD6lQfOnh4QJCNav5D8EHO1sRU+kO33AfrvJPQv6ZJ8a9nj9WV2DCH7OWk+ekiHcM3G1VSmbb1Uflg5Hl6Vpqwr/bahryvz1IWyrnJdTREc/PVbnfTvUs/ed0b0vR9Z1pF+i9XXc3RHBusc5BtMNOtIlnZk//M/35LUlTIjGo85EdSkvq4Ko9qUIiP6Oy/E7GALRGnQvaEyYnHncu56+rwlvXakJCdov80funOb5NChXN7CtwEyorzPupozoofiaM8T6m1DX1fmqWsLZz8BlSyW6Lc6Y3nDCpQRzfuR93UkX2fyeo7uyGCbuadm09KsI1XuyU4qzHxLUlclz4hhl0hdV67f5SVrR/R3XojZwRaI0qB7Vw66d+WBc0EzYn6XM3TLCg/tiKURbTuienmd09IUgHbE/CCeW0c035YyI9qHKVkw6RvtiEU+zqmueo7uyGCdQxzaEbOTKnU7om9V0Y6oqKuSZUTaEQGFQfeuHHTvihAZMffbLuPc8TxcjxjNKTHK6xELH7qXVz2ChyGM1yNWW0b0ej2itK7020Zk1yMGGsobj1doRXWNk2Fn894c5HGSvs6psoEjvdhLUdWRrSND21iY+ZairkqeEcMskb82V+m+H9H1iGRE9FGD7l0x6N4VwfuaRaHjyPF9rh9EFXRcFwILkeoq0Y7nusS4VPc1W6Ygr4+gGdHdcOg3Izp7YfzJLlJpD3vatSDMKU65bejqytPUFXWVct0zWboK0W11xvKWZu7qiau+1q9BzTrSb7HGeo7uyJBbDvniRrWODBkx3HzD11XpM2KIJfKQpwvj5S9YcEzHdCTUHYE15wUPGbGkfQ9ATAy6d8Wg9ctDZUT11RyZdLp4xYzqWFJQyohinbI8T8m+9VLm4nCS0up/8btkXOfc3Mcpa9eHxyOUdan8HqeiyIjCy1owBBfV2M66Kk7HXM/OiTsvkIhic3QtkN/aKOHMHedBfV1p16ByHRm3WGM9R3dk0FZ1JOvIlBHDzjdgXWnXfriMGHyJjHVl33M115kUhvG0vPoykxHRhw1avzyfETXv4tOris5PLzyWOfpFK3flOTvZAQBAXxc+I3q+KCX+PJU5mhYf63OEw/UbB5o5v38BAIDNoPXLB61fFjAj5pvv9b0G1cNUZt3yhqbv1otS9LeSAgCAahMqIwIAAKAmDVq/fNC9yw+cIyMCAAAg78Z7l9+Yy4ia+5oBAADQlxQy4k8nkREBAAAghBDixg3LB29Y/jYZEQAAAAWDyYgAAABwGLxx+eCNy9/+nIwIAACAPDIiAAAAnAZvXJbLiI1kRAAAAAghhBh837LB9y0jIwIAAKBo8H3LBm9a9vYXZEQAAADkDd60bPD9y9/+4vRPm8iIAAAAEEIIcdMDy296cMVvz58e2ExGBAAAgBBCiLqHVt68eeXv/nBm0OTxlS4LAAAA4uFnW1ffum3NO1+evbF1YqXLAgAAgHgY8uj6oY9v6Mp8ftO0xkqXBQAAAPEwfNemkekH3rt8/ub25kqXBQAAAPFw59ObRz+75f1vLtza0VrpsgAAACAexu3bPuHFxw59lxkya2qlywIAAIB4aPzFE02v7uz+4eLtc9oqXRYAAADEQ8vrT7a+mT7y4+Whc9srXRYAAADEw5RfPjXlrd1Hf7x8xzwyIgAAAIQQQkx5a/eUt3Yf+fHyUDIiAAAAsqa89VTrW08d+fHy0LlcjwgAAAAhhBAtv0y3vJnu/uOl2+dOq3RZAAAAEA/NbzzZ/Pqu7h8uDpkjyYgN6UyvQybdkPsy1aX8KqRUVwknFlBu0btSQcbyPZ6zNn2PHqVs0Sq9QnLisG140JDOeF6L2r2shvmpoxKo7eMVAESg6bVdja/tPPzDxSGzNc9HlB4EU122I3yqy/9hV3FwrfwxtyGd6c1kfJ7CchUS4NTnqLuGdKbSFWCRP7fGo0CV3zY8CZJ/gi9aPCvFVKoKZMRaPV4BQCQmvbqz8dWdh78PnxGDHCrjesxNdfVm0qmAp7AgGTHtWNoynz51sqvZtbIrpeLbhjdkxNiVqoaPVwAQjUmv7pz06s5DJcmItvOipC3MMhVXv4+tgzU3YHEg9wHY1j9n/drDuCaprt5MuiFwTitJvotdJnMWKHw921aho4FHPWUP87VtXH7LbC2VYbNzrh/rdIP8wFDuZfraUO9HHsqc31gLE1JP3r00qroylsoygKpAunrRLpFSzR6vACAqk17dOSnX16y5ZyVQO6JzJMlENL/Li8dg99Hb8Umqy3LANo1rVFisSmbE2LRMFAriXKqQ9WxbZ37WoGm+qS5XKe2z0ZXZPrhoSHe5EpO8zI76sc/IT51I9zJjPas3F22ZCxPMZAofNqTTxYVQ1qT7A0dd6UtlmberjlyfSg4ruiVSqtHjFQBEp/G1nY2v7TqsuGclL9j1iPaxZNPQHXMVp1/pWM5f/OpxTSwLVbmM6OPEFzHLsjgWK1Q9h1iDPufrjm5+tivPZXZ+m202KllGNC2vquT6MvsrqH3OXn7EBMuIzgOL6Sji+edUTR6vACBKTa/vanpjV/cfLwXLiDaqfjIhVD+QNcdc9S/6hnTGOZLlyOqhNUDNNukKZcRA8SIimoQVpp4la9ByBtdP2Txf923C1iXwtV15LrPr25Jdj+ipnhWVry+zuZzqmtTXlb5U5nlby2heR672QU1xaux4BQDRanpjV/MbT5qej+itr9mtcHhUnA4CHXNVP/BDH3MdB/OKZMRgTYjeL6LzdfqRNOEVxg9zbnOdrW0JJFRGdJ7bXSnX33YVtMzxyIj6MhvK6asmvS+Pcw7SeSt3Zw9LpC1OTR2vACBqzW/uan4zsoyYP9bqepXi87tc8pw6/7kqTEaMTx+zEEJRH4rO1dDtiEVhMqK+Pa/U7Yiab2ORET209inLqV+iaNsRi8cWWdd40ARVc8crAIha85u7Jr+5K7KMWLgmXt2p5PuYa76+pzTH3DK3I7qvj6ow/bX3oepZu+mEyYiyTOE1I3poSFSvVVlzZsUzooddVNvfq65JT6s7REbMlVy+pwf8FVXrxysAKLnmN3Y1v7Gr+48Xh0STEfONUfLDnsfbNKXnK3sw8JoDfNCePjWLrs2IinENk6wISc1ZKj5kPbuaTFNd3s6aHs7HttauXj/bhqNU2vuabWWO9r5mYz2rb4fVltlZbPWYzpp0T1lyX7PpJl0PO4qiQnRLpFTVx6s4HiAA1L6m13c2vb7z8A8Xh8yRPB9R0ttoP9R5vQ5IeRC3zsHP/RC2kumGLWNG1NaWblxFJ3dlmxOkHd/FOglfz/alDtpS6JqvfYvy0dfsHt29PKoyFyaX/8LP8xGNe5mHepbuRx7KrMtpmpp0DyBd9/JSFetJt7FnhzJO1vtWV9XHKzIigEpofHVH46s7Dn2fuW2W5hnaYdB5AqBacLwCgLyJ+x+fsP+xQ999devMKVFMn+d9AagWHK8AoGjci9vHvbD9/atf/mxGS4knne9S4ogLIO44XgGAw+jnt41+ftvBby7cMr2l0mUBAABAPNz5zJZRex9+78ofbk5MrnRZAAAAEA8j92weueehd6+cr2tvrnRZAAAAEA/Dn3pw+FMPdl0+f1NbU6XLAgAAgHgYln5gePoBMiIAAACKhqXvz2ZEdV+z9ZG3PDisArw8m7vyyv3UkGp+Skk1l90urktiOWiV6knm0eyAZXgcY5iXXJv4r2cA1WTYUw8M3/2g+nrEhnTG+r6tTCzjSR8R/HRSjucClzothHnbb9xVc9nt4rkkYbZ3L+8dDfJudY/veo5AdBkxqsLzHHMgLkbseXDk0w95va85nmeEvoKMWCvYjyIVqnq9vZve/9ZZgxkxss24lvd9oLrU731o1DMPH/zmwi0dLeah2XeD8fqqWPNUpGevTLrB+q7gBvu3LpKX7nalioMq336seqdu9ivbG4rDvBnZWGZT/5bp3biKuvLAVjRnkQxTDvo2Z+0SSc7S2hdYK1/A7Vr7xikbexml81XlFT85Rr1NSl987nPH85YRbdUj6V+xTEW/PXvYcsJuz8q6VW7OJh7qWbvVafcjY105l981W+XRTFuqwLUB1LI7n3u44fmtB69e+JkxI2b3L3aeACyHphD1pzx7FSeruBpAl+2zo2SKlxQ0pNPyc1+qy1b+Bmco7PWREV3T6lKEX3lVOGfvXBx5mT3VlVKqy9XdaDt76aasqysT7Vpw1YKj2iTFdGcd6do3TVkxf9N85T+XvLdI6bdJv1OTCNSO6CG9aNoRjVtOFNuzu8i+f/0r61m71en2I0XZlEWWZ0T50UxbqhLUBlCTRv9865h9296/+uXPZrTqhiMglkLwFqz82PKMqAhu+jGtYyiP9MrWEee39skYjuZe2qODZURtmT3VlVfu2KeesrauDPRrwRlf3N/pxtUXRTdl1ZIa56sewVN9mJdIWSiPgl2PaKp3fUb0vOWIkm3PpegSUszQ0zrSTiRkRvR/NKODDFAY88K2sS88YnpfM9dPlVYhK/qqU11fs7+BrJTrVtJFZRnW9a0rM6lL5aljMVBG1JfZU11puLvYAi6vj/1Jv0T5ecnLIatnR9rRlkQ9Zf342vkWvyxO0nNPs7k2jAtlomutL9LtYvIGvUC5J7rtObcthzqoy+vZvNWp9yPL4CEyosejmaVUpagNoCaNeWHbGHNG5GeWN6pL7JyqIiOqGkPk5yc/GdHT5hQoI/ors6/N2nnmD7O8PkKMfon0C+hKNu6tTl8SzerWja+fb36i2Z0lk24I1YwoG7kMfc1uhRDiuXVN+rG3BsmS/OaxR7UA9aVuE9Zsddr9SL8gYTKicV8IXRtATRqzb9vofVsPXtXfs0JGLI2I+pppR/RW5rDtLiVb3pK2IxZTg6wj2bB8hpKopqwf3zDfVFdvJt3QkM5k0ql0JpO96aJ0tVGhjJifq+4KzRi1I7oKEaDGvLcjar4tU0b03FQduDaAmtTw8y0Nz285+M0fbp7u4dk3CCbie1aiyYiG64oc39ovBHIckZ1tB15OZoEyor+rjvycU2X5K+j1lyW9HjH/SVdK9blu6qY4pZqyfnz9fBvSmd5MV1cmk24QDelMpqvL8+nbU21UKCMW7pfw3iwv+Vi/5YiSbc/eSqenaTHVNk2r9yN9aQxHFU2RTKUyFBLou+58bvOo5za/9/X5mxOad/Gxz4Tj5/ikn0qwjKi75VFzQnWMluqyHc3dN21YvrUOm0vItvm7puW6r1lXZk25dWUOdU61TSkf+r1OWVtXBvq1YJukfPNwtjkqCyajnLJ+fO18s9PM/umzMjzVRoUyonRDVxVcNTvplhPB9pxy3V3s/wCv79hVrH3tfmSdsCJQ644q+lWvKZXH2qCFEX1P/TMPjnzmwXevfFFHRowr9yXemiuWND/B5U2Z+hOqbd7yBJL7yvnMP1u/uqxUxos35WWWXljk7r2SfROy3cVeHh99zca68jNn3dnLWI0BmtzkUzavBd18rWdracrTMtZGoIxo3Mu8TFC7RUm3Z6/9pxFsz9Z1GOjorqtnzdrX7EeKYWRllh9VDKvetE0aaoOMiL5n5NP3j3j6/nevfHFTe2OlywIA1Yvf0gBqy8g9943Yc9+7Vz6/qX1SpcsCALp0Vd8AACAASURBVNUqVBc3AMTQqD0b6/dseO/KuToyIgAEkO+oJCECqClj9m4YvXfDwSvnbkmQEQEAACCEEKLxuY2Tnt946JvPb+sgIwIAAEAIIUT7S5vaXt507Lsv7pjJPSsAAAAQQghx95sPzX/zoY/+eH7U3OZKlwUAAADxsOqdbSt/v+3MX78cd3dLpcsCAACAeHj4yI7NR3ecv5ZpWjTV9WXhiaPRPfMr2PMiSvPeEtMcJI9wrRzrI14DlCiu9Wyef6zWAgAAfUb60yfTn6Yv/fPStFSb46tCrIjyuV/xzC5xexaurTz+X0wh4lrP5rnHaS0AANCXvPjF7hfO77n6v1c6VrQ7viqmitg9HDbi7BKz5XW8yr6M4amiGTFmawEAgL7l9czu1zN7fui9Mnu1MyN6akdUvoXW+C5RYz+i5n2+juzieqVsvsSFeWjeJGudueSdrSWJKaGylisi2qZX0Xo2FzyitaAcN8R8czVneyOsj7oylQoAgOry1sUn37qU/vH/Ls1b7exrtp7zcie87AeFk2ODMxT2+siIkklYODpUG9JdztxjK5JjCg3pTG9vJpMpfNyQTqcs4xaHl3bclrwFyxIe/E9W8eb63EcVrWe9qNaCadyA87VvwNmJ2CrSXFeGJQIAoIr8KvP4ry7u+NP/Zeatdt+zYuFIh0IIVxyxp4hQ2cXUmZrPLpITuaQo+ikrIlgkJ3htG5VuJFkGzn5W0XrWi2YtmMcNOF9XBLTPXl9XnpYIAIAq8uaFrb/8cuuPvRfmrWpRDJLqUve72T52NSsGzS6S3lV3kbq6upTtcsqQJ5uyO4NFfiVcISt6mUl0GTF0PetFshY8jBtwvvqa1NeVtyUCAKCKvHLu/tc+f+CH//lizsom15cpazpw5RpXGilZRjQ2weS7BdO6dkRlN6VEiTKi/nI1STG8ZsRo+ppD17NeJGvBw7gB56uvSXMzonmJAACoIi9+uu6l0+u/+9e5Wct072sunnaL58pKtyMWb7n2fimbccr60cMK1NesuGelBBkxdD2bC17yteBh3IDzLXU7IgAAVe3Zkyuf+2jl1X+cmZEarxnMEUqkDS/2GOE4a2qvHAx8nVzhD88NgZ46AON1z4r+2TcVrWdzuUu/FszjBpyvIW2bGxJpNAQA1JKnjqT2HF165dqp6feM1Qwma0fU39dsixS5jBTF/baFgV13LShO2a6ok+qK/J6VsAnClk8cS1vJetaLai2Yxg04X2OLrJ/7mqVLZL94AwCAWHvi/UW7Plh86b8+bV80Rj+k/Bo6a+9pynFutvWsSlplXNTPsdM/t0//UB43+wP4FM+5i9mZ3FphktqoTD3rRbgWtOMGnK+XXnsfz0eU1RIZEQBQPR79fedj73Zm/t4zrXN02GnFMVrVnCAXBgIAAPi05e0F236X/PIvn0xZEPqKezJieVDPAAAgag/+av7mX9/9hz9/3DL/zrDTIrsAAADUhvveuGvTm/O/+PGj5nmjKl0WAAAAxMP6V+bd+9q8cz981DiHjAgAAAAhhBCrX567Zv/cs99/NHFWfaXLAgAAgHhY8cLslS/OOfPth+NnkhEBAAAghBBi6fOzlv589umrJ8fNGFnpsgAAACAe7nlu5pLnZn76zckxHSNcX5pe1aZhe3Yz9zqH4XoMdsleDBxi/XpVMy8yZl8AAPQxi5+ZsfjZGT1fnxg9vaQZMY/n4YQW7oV4hXEUr/0gI3rTR/eFMmwiAICYWvRMx6JnOnq+Pj56+nDXl330vBgzrhfi+V8tZMTQ+ui+QEYEgL5r0bMdi541ZETb+4Cdw9jeUes+ASrOi9kpp4rjVtmp0ydXzAs1sq1OG9IZ53qxnNelr2suTMzD+rWtXsnbjLXbhtBkxFAdsPJSqeZV+NxjmaXiuy+oa1K/bejH1W85+uVNdfX2ZjKZ/Of5SdX2Pg4AtWexKSMWj+2KM449ckhPI/LzomXgWm+taAgThk3tiM7Kk1Smph1Rt34dn9jWr3HbMC2Svcg+1r66VPIoXtwEw5Q5pvuCoSa124aXtaAujWZ5C39kt/tCPickAkBVWfzcjMXPdfR8o86IxQO78xznPn+4P9GdFy1DVmM3XACBW7C01yPaa112VtdlxIDr1zCucYkC/yTQlEpeiGL9hS1z/PYFY01qtg1Pa0E1kHHbyP63+L+auegAAPqORc/NWPTcjJ5vPN2zYv9bdtTX94uqp9zHTiGFrOglCpjva7bUprxxzOP1iMb1a1mbHlovlXLNqoF+E2hLVfxSGk7ClDme+4K5JtXbhqe1oKgi/fLKKr9v7eAAUBMWPjtj4bMzer4+0ZDwmxGlVyw5Tzp9KyNaL9DSLY3vjGgYrlB7Xqtb/rG3BsnwGVE4LmXzkxbNpVJ3ckaXESu4L5hqUrdtmNeC/ioFxfKqMmIf6CkAgFqyYG/Hgr0dH185fme7+b5mc9uJS9/KiCal6GuWylWz6kQcs3ZEVyF8pAd9qUSqqzeTbmhIZzLpVDqTu8lEdalftO2I0qJHuS8oatKwbWjH9dOOKBuJjAgAVWze7unzdk//6PLx+ja/GdHbZejygfrY9YilvWdFOYdMRlGLgTKi12vOtLPwItxdGvZPGtKZ3kxXVyaTbhAN6Uymq8sSZqLLiDHZF+QLpN829OPqrkfUBk4yIgBUvZm72mftaj958diIacNcXxrPqY4L+fPNONZpqO8j6FU38NQaTwki3Mi5GCqvRcUtvKb1a7qvOUTe0t7uoacrVX7LKl6UaP0ywoxYoX3BW03Ktw1P46pv/tYsr8eM6LMFGQBQZu2Pt7U/3nYsc2zYlDtcX3o5p9ovadKcoWxfZ6eULl7VxJlCyWvA1IYL62ryk5lMz0f0Nnd5YQP0u5tKJezZRZIfI8uIzmKVa1/wVJMeLitUjSvdcvTLS0YEgJrQsm1q67apRy4cHdrizojRqfWGwwqgSqtUGVYc2wYAwL9JD02Z9NCUw+ePDGkeWsbZctIqMS73qlqR7wtsGwCAIMZuah27qeWDL47c2nh7GWdLRiydfIchKaA6RbkvsG0AAAIbtb7lzvUtB8913zyxnBkRAAAAMTZi9eQRaya/+1l33QQyIgAAAIQQQgxdMXnoisldZ7oHjxtS6bIAAAAgHoYsbR6ytPmd0903jiUjAgAAQAghxK1Lmm9d0vy7T7sHjSEjAgAAQAghxC2Lm29Z3Py7nu6Bo/1mRM/3Y1bgJuZwj2iOF+uyVGRxZM9OsRWqnHfNxvyO+ADvWo7zfiRq8U3qNbaO9Mc645Ew3PpNBX30e59V7idRxerojSp086LmukXNv63CjKieakM6U9zu1S8Tqxb296xk323hc78OtwZ0R7WyP3sv8pNw+LqqrvxhmioZUcR4HemPdV6OhGHWb8x/sElUvsT+j5g1dPRGFapb2HzTwua3e7p/2hBZRoyG19lX/X7gehdfuY8yOmREuyjzRzTIiB7EfB3l6fdG+bch1m8VHlr7XkYsbVnQ99xkzIiGN/amil87NzbrmMpuDnWTt2p0R9+rqcG88kcF769c9jiye9dW1aSHutL1O5h7kjRHmVAdGsqRjVtd4HdM+9yu5NRn3Grdj0qeEc1vvjZtOfrlNaq9dWQvpmpdyb8Nsn7tL+qWFUv3RvXiUaOweH4KoKxJZxeL7W8PNakvVZjDWXHc3EYkmbFk0lV79EYtuWnh5MELJ7/d0z1AmhEd/ROpLssGk9uKrH/Kd3X5N7ZpOf5y/d2Q7nJOwFP2C9QzW3oNukhjIgmY9uO6vibzn0nrKtWlqXRb6X0eZdxBwMdpQFcq01Zn2mL16UT1YVjVvh+VkmEtmLYc89YeULWvI/2xLoojoWrn19WkZYBMsSO8IZ32VjLD2rd8IC+criY1pfJ0nFSwFcSxIZmXSFfmeB69UWMGFzOi5Bna8p/4uU9SXb22b5Ubo2wb107Z0zHRPExMAqKF9fekn8Qky4jWH8jqmlR9IqfujfJ5lClp8HAfZNVbnXGLrUhGrO79qMTMrbma4gTftv0Wq7rWUfkDovCx8zs/CVoeD2s/Vyav6ce1OJ5K5aeP1jFHx0xq/+iNajd4UcvgRS1v9xwZMNqdESXdEJatSrp7yjYtySYnG7SYhTx1f5g25Dhfa1HIil7Kp8+I+pq0fKCoK3e3USmOMrmpBq5+dan0W52/LbZcGbGq96OS068F/ZbjaWsPpKrXUZDrEEvA8wWOzgEDlsjb2s8fO6TTN2ZEfczWHie9ldk2l9o8eqOmDF7cOnhx69s9RwaMHur6UvWjOPxxs9igJtvCPZ22TANV4seQ8aqknFJkRGsLh7ImLZOQlcfRKVS6X6LCefjyc7zRlkq/1fnbYsuVEat6Pyo541rQbDmetvaSlCr/WVWsI/33ka1h7925jmNYwIzoce3r2gODZURvx0llmdUZsQaP3qg1hYz4U0lGLO9va6/fqqfq6/tKKFFfs3XXDlNX+t+4hk/N31nn7vP6Hf1RlXZE06BevlVPNVqe1kLxK1e4iKawVb2OYpURy9uOKC9UJqOYQaCM6PE46a3MxnZEr2WO59EbNWfwPa2DF7cekLcjRnyNjnq7i+V1VCFYfpUF+/VsG8te0V662hR15fEyIe2RxFNPn691pS+VYavTbrGOo6rzd3iAsnrEfmThaS3kyQJlNOcr1pFvni9nk+7SAVajee0Xpuy5bJJxTSPpGipNIzvGrbmjN2rOjYtbb1zcckB+PaLrAJ7qcp6tNQ08BfJvbNPKfaCYkxCSe/3055Z4bdmhzmz2kSVHAn1NFkZSHGZsv2mlKdZ8nY6sv8nymc9VoS2VaavTbbG2v3ITdpXLtF0FUsX7kYcF8zm6di0Ytxzz1h5QFa+jWLUjGvZB3Yhm+pp09+M6Z6KrSXWpvB0nFWSdy45NvDqP3rQw9g03Lm7RZUThuDLB3UekfVKddUDJRma/6ME5iPHiPusA/n4xVpViB7W3qlB2TMjqyv65u4XSxT1tyyScm4e2zBqaUnnY6pRbrK1UmXSDphNHPfWgqnU/8rJUftevfi0Ytxzj1h5Uta6jmGVEod8Hw2RE56SdAdGZtvRVrb6ERzdT9V3TKtbt3fR8xOo5epMR+4YbFzUPWjT5QE+3MiOGVzNpDaigOO5H0tNwHxbHdQQAQQ1a2DRoYdMB1TO0S4HDJhBeHPcjaX9eHxbHdQQAgQ1a2DhoYdOBnsMlz4iKRmwAPsR5P4ruNuPqEud1BADBDVrYOGhh44Gew/0ja0cEAABAlRm0aNKghZMO9Bzq33BbpcsCAACAeBi0aNKgRWREAAAAWAxaPGnQ4kkHeg71H01GBAAAgBBCiBuXNA66Z9KBTw8NICMCAAAg68ZU441LGsmIAAAAKBq8tGlwqvHAqcMDxnBfMwAAAIQQQty0rGnw0qa3Tx3+KRkRAAAAWTctb75pWTMZEQAAAEV1y5vrljX/9lT3wLFkRAAAAAghhKhbRkYEAACA3c3LmuuWkhEBAABgcfOy5pvJiAAAALC6ZVnzLcuaf3eajAgAAIC8ny2f/LPlzb873T1oHBkRAAAAQgghblsx+baVk985033juNsrXRYAAADEw9DVrUNXt/7+syODx5MRAQAAIIQQYuT6KSPWT3n37JG6iUMrXRYAAADEw5j720bf33bwi2O3NN5R6bIAAAAgHhq3TG/cMv3QheO3TR5e6bIAAAAgHtp2zGrbMeto5uQdU0ZUuiwAAACIh7l75s3ZM+/Dyx+NaKuvdFkAAAAQD4v3LVj08wU933zcMH1UpcsCAACAeFj5i4Ur9nee/u6TsTPvrHRZAAAAEA/rX1+07rWFZ7//ZPwsMiIAAACEEEJsfGPhhtc7z37/yQRpRpwgxBr7v86Szn6IZcpOdY3Xk8nryeT1ZMf+fn5GBAAAQDgbX0ve++rdZ7//aMJM7fWIa4SYEMHshyhC3rrGZD4gyjNi1gQyIgAAQATW779r7Utzz1z9cFzHSN1w5c+I1+r75ZsSyYgAAABltfL5WcufnXHq6+Oj27XP0JZmxOyHiRDd0KqMmENGBAAAqIQluxOL0u2fXDo6aqr2XXyqjLhGiCFCCCFuCNTWGGlG5GpFAACAYBY8MXX+460ffnVkRMvtuuFUGTFh+bPT/qcXZEQAAIAYmru9Zda2yccvHB7WPEQ3nKavuSDhv7uZvmYAAIAYmrWluWNz07Hzh+9ouk03HBkRAACg75jxcHPioaZjXxwa2khGBAAAgBBCiBmbsxnxMBkRAAAAOTMfbu7Y3Hzs/OE7mmJ0PWK//R3WZ2jn/zXWOYbjnhUAAIAozN4yecbDk4+f75ZnRP27+MiIAAAANWnOtpZZWyaf+EO34b7miBj6mk3oawYAAIjCvEda5mxrOXmhe/hk7fMRIzLE0kJZnhEBAABgNO+RyXO2TT55oXtERTIiAAAAYmjeI81kRAAAANjM3dY0Z2vzyQvdIyZX4npEAAAAxNDcbU1ztjadvHCYjAgAAICceY80zt3W+OGFwyPJiAAAAMia/2jTXdubPrxweGQLGREAAABCCCE6d0xe8HjzR191j2r1/wzt8NSPsKnr0T49m2ffAAAAROeeJ1sX7Wz5JHPkzqna+5ql7+ILT/4M7X7119wvWemon+gakGdoAwAARGHZnqlLn5r66aUjo6cN1Q1X9ozYuC7/18T6jmxM7HE2JpIRAQAAIrHq2faVe9tOXzk6tv0O3XDSjJj9MBGiG9rbu/hy/c5kRAAAgPJY9/Ppa55LfPb18fGJYbrhVBlxjRDZ6xhvCNTW6Ckj5rqeiy2LBfqMyNWKAAAAwdz7Qsf6n3ec/eb4xOnDdcOpMmLC8men/U8vPGTEfvs7kteTyWv1/dzfkREBAACisOGFjnv3dZy7enxixwjdcJq+5oKE/+5mU0bMBUT3fc1Z9DUDAABEYcMLMzbsm3Hu6olJ8cuIhoAoyIgAAADR2LhvxsZ9Mz6PX0Y0B0RBRgQAAIjGfS/MuO+FGZ9fPdE4I0YZ0VNAFGREAACAaDzw8swHXpr1xbcnm2aO1A1X1oxY1+h8gHZSftsK96wAAABEYfMrsze/MucP3384eVa95Gv9u/jIiAAAADVp6xtzt70+78IPH7XMGVWB2Xt7hrYSfc0AAABReOSXd23/5V1f/vhR69zKZcQADX6BRwQAAIDR9rfu2v5W5TIiAAAAYmjbL+c98st5X/74UQsZEQAAAFlb3piz5Y05F374cPIc2T0rAAAA6IMeem3WQ6/OOv/9yaZZ2ucjAgAAoO944JUZ9++f8cV3JxpnkhEBAAAghBDi/v0d9700/dzV4xM7hle6LAAAAIiHTS9P3/hiNiMOk3ytf4Z2eOpH2NT1aJ+ezbNvAAAAonPfS9M3vJA4q8qIBdJ38YWneIa2LSDm/sne3cwztAEAAKJw30vTN76QULYjFpQ9Izauy/+xrjEbEzv2OxsTyYgAAACR2PRiiIyY/TARohva07v4cq9vJiMCAACUSdiMuEaIIUIIIW4I1NboJSPm2hE76ie6vtJnRK5WBAAACGbTi9PveyHx+dXjk4JlxITlz077n17oMmKu+TD7r9j1bEVGBAAAiMKmF8JlROuHCf/dzZ4zoqSjWdDXDAAAEI37ChlxRtwyYt7E+g6uRwQAACin+/YlNu6Ld0YsPAqnx/X0GzIiAABAFDbuS2zc1/751WNxyoh1jbaHZuc7ncmIAAAA5XHvz9s37Gs/F7eM6HyAtuK2Fe5ZAQAAiML659vW/7zt3NVjQd7FF2FfsyMmyh58I8iIAAAA0Vj3fNu659vOXj02seOOCsze2/WISvQ1AwAARGHtc9PWPjft7DdHJ1QwIwZo8As8IgAAAIxWPzt19bNTP/v66PjplciIAAAAiKFVz0xd9czUM1eOjk+QEQEAACCEEGLV3ikrn55y+sqRce1DK10WAAAAxMPKp6cs3zPl9OUjY8mIAAAAyFr59JTlu1tPXToypu32SpcFAAAA8bByT+uyp1pOXeoeM42MCAAAACGEEKv2tC7PZcQhkq/1z9AOz/gIm4n1HdeTyevJjv39/I0IAACAwNbsnbJyd8vpS91jpRmxOJzsXXzhmZ6hXdeTe9WKMyNm8QxtAACAKKx/dsrava1nLnePa4tfRlzXWHgdHxkRAACgfO7fN23j81PPfn1kYkJ7PaI0I2Y/TITohtZlxLrG68nktQ55X3MWGREAACAKW3+RePjltvPfHm2aoX2GtiojrhEi2/54Q6C2RnVGrOtJJq931E+sawycEblaEQAAIJgn3pqx482Or3443jp7mG44VUZMWP7stP/phSojZm9V6anLtSaSEQEAAMrpmXfmPP3b2Vf+fLLtrhG64TR9zQUJ/93N8ozYr/5aMnm9sU6IUBkRAAAAwbx86K6XPpj37d8/7EiO1A1X1oyYy4XOf9fqnTmRjAgAABCFN08seOP43X+89vHsRaN0w5ERAQAA+o63P0ke+CT55398Mm/JnbrhypoRrehrBgAAKLuu051dpzv/+q9P5qdqLiNyzwoAAEAwB88uPPjZwr/9u2fB0gbJ1/p38ZERAQAAatKhcws/OLvw7//uWbBMlhGjZs6IWvQ1AwAAROHwuc4Pznb+/d+fLFiq7WuOyBBLC2V5RgQAAIDR4bOdH3zW+fd/fbJAfz0iAAAA+o7Dn3W+fyb5t39+cvcS7bNvAAAA0HccOtP5/qnk3/758fx7yIgAAAAQQghx6EznwU+Tf/3Hx3ctJiMCAABACCHEodOd7/Uk//r/fXyX/j0rAAAA6DsOne482JP86z/IiAAAAMg7fGbh+6c6//YPxfWI+mdoh6d4hE1dj/t9zY11HkYEAABACXSfXXTozMK//+uTBQHe1xye4hna5oyYxTO0AQAAonDk80Xd5xb91797kvr3rFQkI16rl72Az4KMCAAAEIWjXyw6en7Rtf/tWbjCf0bMfpgI0Q1NRgQAAIiho+cXHb2w6Np/ehatHK0bTpUR1wgxRAghxA2B2hq99jXLOpqFKSNytSIAAEAwR84vPHph0bXensWrAmXEhOXPTvufXkR6PSIZEQAAIJjDX3QeubDwWm/P4tWBMqL1w4T/7mZlRuyon5j/Y11jNiZ27Hf1PNPXDAAAEIX3zy7oPt957T9B2xGjyYgOuWbFHldLIhkRAAAgCu+evvuDcwv++38/WbQq6D0rBWREAACA2vBOz13vnbn7v/7nk0Ur45MR6xqtdzTT1wwAAFBmBz6c+/tP7/r7vz/uXO7/GdrRZUTnDSvcswIAAFBGbx2b/fZHc//6z4+Sy2QZUf8uvgj7mu0x0d3LbC2eChkRAAAgmNcPz/zV8Tl/+cdHC5bK3tccNW/XIyrR1wwAABCFVw7OePPI7D/9v4/mL6lcRgzQ4Bd4RAAAABi93NXx+qFZP1778K57KpERAQAAEEMvvjP9lYMz//jfH85dVF/psgAAACAe9v02sf/dmT/814dzFpIRAQAAIIQQ4vkDiZd+P+P7v384u5OMCAAAACGEEM/+OrHvdzO++9vJWUkyIgAAAIQQQjzzVvvzBzq+/cvJmXePrHRZAAAAEA9Pv9n+7K87rv7lZMd8WUbUP0M7PMUjbHIvaNa8Z4Vn3wAAAERn9+vte9+a/s2fT3TMH6EbTvouvvAUz9A2Z8QsnqENAAAQhadea3v6zelf/+nE9LvilxGv1ffTj05GBAAAiEL61bY9byS+/vH49Hn+M2L2w0SIbmgyIgAAQAw9+Uq4jLhGiCFCCCFuCNTW6LWvWdbRLEwZkasVAQAAgnnyF217Xm//+sfj0+cN1w2nyogJy5+d9j+9iPR6RDIiAABAME++Mm13mIxo/TDhv7tZmRE76ifm/1jXmI2JHftdPc/0NQMAAEQh/cq03a+3Xfnx+PS5w3TDlTcjOuSaFXtcLYlkRAAAgCikX5225/W2K388liAjAgAAIOup16bteSObEe/QDVfWjFjXaL2jmb5mAACAMtv9Rls2I7bHKiM6b1jhnhUAAIAy2vNm29Nvtl3547H2ObKMqH8XX4R9zfaY6O5lthZPhYwIAAAQzNO/bN/zZrsyI0bN2/WISvQ1AwAARGHPLxN73mi//MOxttmVy4gBGvwCjwgAAACj3W9Of+r19kvfH5s2qxIZEQAAADGUfn36k68mLn5/bOpMMiIAAACEEELs/MX0HS+3f/Xt0dYOMiIAAACEEEI8+kL7I/vaLnxztGX60EqXBQAAAPHw8N5pm5+eev7KkaZ2MiIAAACEEEJs3Nmycefkcxe7J00dUumyAAAAIB5Wbpm0auukMxcOjW+5TfK1/hna4WkfYZN7TfP1ZPJ6snGdjxEBAAAQyqINYxffN+7TLz4Y23yrbjjpu/jCUz5Du1/9tdDv4gMAAEAw81bcOX/1nR+fPTh60i264cqcEdc1OpoP63rIiAAAAOUyY/GI2UtHfnjmvVETbtYNJ82I2Q8TIbqhFRkx18usek1zARkRAAAgCm0LhnUsHn7y1LujxgfKiGuEyN7rckOgtkZ5Rsx1NHfsr29UXY+Ypc+IXK0IAAAQzNT5QxMLh5049W59sIyYsPzZaf/TC3lGrGu87rgYURETyYgAAABRmDJvaHvnsBOB2xGtHyb8dzfrM+K1+n7WP91dz/Q1AwAARKE1xhmxY3+/3N+qyxPJiAAAAFFonXd7e+cdJ051xSkjFq5HJCMCAABUQuu829uTd5z4tKt+nPYm4rJmRNFvf4e7r7kQGYvIiAAAAFFonXd7W3LoiU+7RsYpI4qJ9R3Oe1Y66ie6BuOeFQAAgChMuev2tuTQ4z1dI8beJPla/y6+6DKiEPa7m2UP0BZkRAAAgGhMnT+0vfOO4z1dI8bIMmLUdBnRA/qaAQAAotCWHJZYOOz4pxXNiAEa/AKPCAAAAKPpi0d03DPixKl3R4w1vfgOAAAAfcTMWNJdWwAADldJREFUpfWzltWfPP3eyHHaZ98AAACg75izctTcVXd+9NnBURNuqXRZAAAAEA/z1jTctW70x+feHzXpZ5UuCwAAAOJh3tqGu+8d/cnn7zc03lrpsgAAACAe5q69c/6G0Z988X5DExkRAAAAQgghZq+uv2t9gzIj6p+hHZ78ETa59zW7/lmepM2zbwAAAKIzY8WIuWtHffz5wYYm7fWI0nfxhSd/hraHjJjFM7QBAACikEgNm7Vq5EfnDt7ZGJ+M6JCPjD2uJziSEQEAAKIwbdHQjmXDPzz73qhJ2mffSDNi9sNEiG5oLxlxXWPyejJ5vaN+ousrMiIAAEAUWpO3J5YMO3nmvVETtc/QVmXENUIMEUIIcUOgtkYPGbGuJ5m8nkxeq+/n/k6fEblaEQAAIJiW+UPaFw87efrdgBkxYfmz0/6nF8aMOLG+43oyeT3ZuE72LRkRAAAgCpPvGtK2aNiJ0+/WTwiUEa0fJvx3N5syYr/9HfK7VbLoawYAAIhCPiO+F8uMWNd4PZm8nuzYL+lnFoKMCAAAEI3Jd93etmj4idPv1evf11yRjKi5WyWLjAgAABCFlvlD27MZcXzsMqLubpUsMiIAAEAUWu++I5sRR46PWV+z/m6VLO5ZAQAAiMLU5LD2xSNOnHpv5DhZRtS/iy/KjJhrRFTdrWItngoZEQAAIJi2hcMT94w4furdEWO17YgR8fSeFTX6mgEAAKKQuGfE9CUjj3/67ogxuga7qAyxtFCWZ0QAAAAYdSyt70iNPH7q3eEVyYgAAACIoVkrRs1cPurE6fcq09cMAACAGJqzumH2qjtPnnlvhPSeFQAAAPRB89aNnreu4aOzBw3P0AYAAEDfMf/e0XdvGP3x5+/fOelnlS4LAAAA4mHBxtGdm8b0nH9/dDMZEQAAAEIIIZL3jV784JhTFz4Y23Kr5Gv9M7TD0zzCJv+eFfmTtHn2DQAAQHQWbmpY8vCY019+MH6KLCMWSN/FF57qGdq2gKh+4QrP0AYAAIjC4vsblm0d+1nmg4nTbtMNV96MaHsRn+bFzWREAACAKCx5oGHVtrHnLh5qah+iG06aEbMfJkJ0Q+sz4rX6fkIIUdd4PZm8nuzY3885HBkRAAAgCsseHL12+/gvLh2enAiUEdcIkR3vhkBtjYqM2G9/h6sdsaN+oms4fUbkakUAAIBgVj40duPjEy9c6Z7SMVQ3nCojJix/dtr/9EJ1PWIxJub+STqaBRkRAAAgGms2j3/gicavvj4ybcYd2uHUfc0FCf/dzcqM2K/+mv2elR7Z66TpawYAAIjCvQ9PeHjn5Mw3R9tnDtcNV96MyPWIAAAAlbRxy6RtO1sufXMsMSs+GdEZCnOR0d2USEYEAACIwqaHJz3yRMulr49Nj1E7Yi4jOtoRyYgAAABlcv/mSdsen3zx8tFExzDdcOXta3bcsKK8bYV7VgAAAKJw/0OTtm5vzlw80p6Q3bOifxdfhPesOGKi7ME3gowIAAAQjfsfnLhlW+NXme5pbdpn30REnRE9oa8ZAAAgCg88MOHhLY1fftU9dertFZj9EEsLZXlGBAAAgNGDD0zcsqXxyy8PVyYjAgAAIIYeenDStq1NX33VPXVqJfqaAQAAEENbNjduf6Q5kzkybZr2PSsAAADoO7ZtaX780dZLF4+2t2uffQMAAIC+Y/vWlp07pl6+fCyR0D5DGwAAAH3HY4+07nqi7crl49MTIypdFgAAAMTD49unPrmz/crl4wlpRtQ/Qzs8zSNs1jUWn6GdeymftxFD2yvEZ/l/M0s9ceWU828cVD0yPLIiNaQzvb29vb29XSnJt6mu3jzJ9/pvAQBA1Xp8+9RdT7Rdvny8vd3/+5rDUz1D2xoQVTFRRPIM7b1CvJP//0z/mSw7iuYWcfkErQFRHROHlj4jprp6e7tS2ZzoTnmprt7eTLpBCCEkg+i/BQAA1eyxR6bseGzaxYvHpk31/77m8OQZsV/9NWsuzAUo3+9r9m+oK+FZI6MXgTJi/r2DuVxY15NMXk8me+rkxSt506ZQRDznh9ZMaPoWAABUt0e2tGzfNuWrL4+2tmifjyjNiNkPEyG6oeUZMRcKO/bnmg6zoanwZ1GpM+IGVyLMZr4sR150xEFrD7WmX1j2YS4UFppKs62o7pbTMmfEXBuj4gP9twAAoLo9/FDzww81/+F8d1PTEN1wqoy4RojseDcEamv0kxElDWv6jOj/akV3q6G1ZVGfETUfWnnPiNcbncurz4h7QyRIWUZsSGccDYPWT/TfAgCAKvfAfZM2bZz4+blDEyfeqhtOlRETlj877X964aevuTwZca/9E2ssiywjyvuaK50RC53Hhf9Yh9J/CwAAqtx9945fv3bcZ5+9P27cLbrhNH3NBQn/3c2Ke1byocn+z29G9K9CGVFMrO9wL67fjBgGGREAANhsWDd27arRp08fHDP6Zt1w5c2IotiYlkxeq68P1tfsX4X6moWw3sndUb8/UF9zGPQ1AwAAm43rx6xd3XD69MExo10JzKrsGdHCeXliUZzuWdF8aOUh5DkvTyzgnhUAAFAmD24at/HeMWc/OzhubJzaEdc1Fp50k29QlD0wsLzPvnEkyA0lzIh1jYVG0nyDoiQS8+wbAABQJo9um7Rl84TzX3wwaeLPdMOVPSM6rs6TJCZR+ntWhBDvqJ+hbf1zaP7pNo44mP18g3r6Hp+hLX1keHnvWRE8QxsAgL7r6d2t6V2TM5nu1hbZs2/07+KLsq/ZetuK5OnZ1uKpBH1Tn+ZdfIWv3lE3GW7w/XxEIey3rbgvvMyKICMWXsRXZG8M5F18AAD0Sa/+YvrLLyWuXj02PXFHBWbv6XpEtQjexRe1MJ3F0fU1AwAA2Pz+d/N+9/bcP//pw7lzR1Rg9kMsLZTlGbHSNE2MEY0IAADg24njC48f7bz2358s7Lyz0mUBAABAPHx2JvXZ6SX/+uenS5eMrnRZAAAAEA8Xzi/78vyy//zv6ZXLx1S6LAAAAIiHzIXlF79c/n//Ob165dhKlwUAAADxcOHzpZnzS//vP6fIiAAAAMg5++ni82cW/+d/Pl21gusRAQAAIIQQ4uOjC059mPz3Pz9ZsYzXqAEAAEAIIcSh3885/v68f1z7aNkSnn0DAAAAIYQQv32j470DM//7byeXLBxV6bIAAAAgHl5/YdqB1xJ/+9OJRQtGVrosAAAAiIcXn255/YWpf/7hePKuSryLDwAAADH07M6ml/a2/vHbo/PnDK90WQAAABAPux9tfP7Jyd99fWTurGGVLgsAAADiYdfWiXt3NF29fGR2xx2VLgsAAADiYcfmCU9tb/z6YvfMxNBKlwUAAADx8NiDE3ZtnXQlc7ij7fZKlwUAAADxsP3+8U88PPHyl4cSU4dUuiwAAACIh0c2jduxecKlC4fap5ARAQAAIIQQYtumcY8/NP7ihUPtrbdVuiwAAACIh22bxj320PiLFw61kREBAACQ9QgZEQAAAA6P3D/u8c3jL144NI2MCAAAgKxHHxy/4+EJZEQAAAAUPfbwhB1bJ1788vC0Vu5rjsx17T8AAIC42bF14s5HJl36iowYJU0QJCMCAIAYemJ7467Hmi5luqfxfMTokBEBAEB12fV405M7mi9luqdNlb2Lb4IQa+z/Oks6+yGWKTvVNV5PJq8nk9eTHfv7ab5NXqt3fq2bbCmkujLpBh/DkxEBAEB1Se+cnN7VcvnikTZpRixYI8SECGY/RBHj1jUmCxFQkhEtAVEVE0U+4EaBjAgAAGrbU0+27E63Xr50pG3aUN1w5c+I1+r75bOgIyP229+RvJ5MXm+sE8U02bjONZEoMmJDOtNb0JXyOBYZEQAAVJc9T7XueWrKlctH29v8Z8Tsh4kQ3dCqjJgjzYj96q8lk9eTyZ4665+S/uiSZ8SGdCYbDHPtiJ6bE8mIAACgujy9e8rTe6ZeuXK0vf0O3XCqjLhGiOy9LjcEamsMkhGdH9b1WCOjhT4j+r9asRAR6WsGAAA17pk9U595etrXV44mgmXEhOXPTvufXoTKiPWN15PJnrqyZUSR6urt9deAmENGBAAA1eW5vdOef6btm6+PdSQCZUTrhwn/3c0VzIhBFK9GJCMCAIBa9vNn2/Y91371m2Mzpg/TDRfHjBiurzk4y30rXI8IAABq0gvPtb/0fOK7q8dndlRLRqzcPSsF2b7mhnTGY0okIwIAgOry4vOJl/dN//7b47NmDNcNF6OMWNFn32TlrkdsSGfIiAAAoBa9+Hzi5X2J7789PmtmjDJiPgU6/jXmu5NL8QztQPc15xJhNiMWbmExIiMCAIDq8sKz7S/9PPHdVUVG1L+Lr2IZURjexWctvEqgN/XZHqHt/cYVMiIAAKguzz89bd+zbd9ePTZzhvZ6xIgY+prD4V18AAAAwexNtz67Z+o3Xx+d0aF99k1EhlhaKOM/2QIyIgAAqG1P7Zi8Z1fLlctHpuufoY0wyIgAAKC67NzetOvx5kuZ7rZp2vc1I4zr2n8AAABx8/jWxh3bmzJfdU+denulywIAAIB4eGxL42Pbmr768vCU1iGVLgsAAADi4bGtjY9ubfrqQndrCxkRAAAAQgghHt/W9Ni25q++JCMCAAAg74lHJ+/YPpmMCAAAgKL0jpZdj7dkvjoypZV7VgAAACCEEGJveuruXVMuZY5MnUJGBAAAgBBCiH3Ptj+3Z9qVS0faePYNAAAAsl55seOl5xPfXDnW3sYztAEAACCEEOKt12a/9vKM764e7+BdfAAAAMj67a/m/eq12T98d3zm9GGVLgsAAADi4d3fzv/tW3N//OHE7BlkRAAAAAghhPiga8G7b8/7y48n580eXumyAAAAIB6OfpA81DX/b3/+cP7cEb0AAABAb+//D52Wp86R7VtYAAAAAElFTkSuQmCC" alt="" />

 
 

mysql基础(2)-数据处理(mysql+pandas)的更多相关文章

  1. MySQL基础配置之mysql的默认字符编码的设置(my.ini设置字符编码) - 转载

    MySQL基础配置之mysql的默认字符编码的设置(my.ini设置字符编码) MySQL的默认编码是Latin1,不支持中文,那么如何修改MySQL的默认编码呢,下面以设置UTF-8为例来说明. 需 ...

  2. MySQL基础配置之mysql的默认字符编码的设置(my.ini设置字符编码)

    MySQL基础配置之mysql的默认字符编码的设置(my.ini设置字符编码) MySQL的默认编码是Latin1,不支持中文,那么如何修改MySQL的默认编码呢,下面以设置UTF-8为例来说明. 需 ...

  3. MySQL基础普及《MySQL管理之道:性能调优、高可用与监控》

    最近工作的内容涉及MySQL运维内容,陆陆续续读了几本相关的书,其中一本是<MySQL管理之道:性能调优.高可用与监控>. 内容涵盖性能调优(包括sql优化等).备份.高可用,以及读写分离 ...

  4. MySQL基础知识-安装MySQL

    前导: 昨天去参加了一个面试,公司不太大,是一家日资企业,在国内有几家分公司,面试官问到了MySQL的基本操作和性能优化,说了一大堆,倒是比较轻松的过了,但是面试结束之后,想了一下,基本操作忘的还是挺 ...

  5. MySQL基础(《MySQL必知必会》简单总结)

    使用MySQL # 选择数据库 USE database_name; # 显示数据库 SHOW DATABASES; # 显示当前数据库的表 SHOW TABLES; # 显示特定表有哪些列 SHOW ...

  6. Mysql基础教程之mysql 设置参数常用方法

    1)设置mysql的全局方法,设置完立刻重启mysqlvim /etc/my.cnf[mysqld]interactive_timeout=1800wait_timeout=1800 全局永久生效现在 ...

  7. 【目录】mysql 基础篇系列

    随笔分类 - mysql 基础篇系列 mysql 开发基础系列22 SQL Model(带迁移事项) 摘要: 一.概述 与其它数据库不同,mysql 可以运行不同的sql model 下, sql m ...

  8. MySQL基础(非常全)

    MySQL基础 一.MySQL概述 1.什么是数据库 ? 答:数据的仓库,如:在ATM的示例中我们创建了一个 db 目录,称其为数据库 2.什么是 MySQL.Oracle.SQLite.Access ...

  9. mysql 基础篇5(mysql语法---数据)

    6 增删改数据 -- ********一.增删改数据********* --- -- 1.1 增加数据 -- 插入所有字段.一定依次按顺序插入 INSERT INTO student VALUES(1 ...

  10. (转载)MySQL基础(非常全)

    MySQL基础 一.MySQL概述 1.什么是数据库 ? 答:数据的仓库,如:在ATM的示例中我们创建了一个 db 目录,称其为数据库 2.什么是 MySQL.Oracle.SQLite.Access ...

随机推荐

  1. MyBatis学习--查询缓存

    简介 以前在使用Hibernate的时候知道其有一级缓存和二级缓存,限制ORM框架的发展都是互相吸收其他框架的优点,在Hibernate中也有一级缓存和二级缓存,用于减轻数据压力,提高数据库性能. m ...

  2. 跨域http请求

    <?php header("Access-Control-Allow-Origin: *"); header("Content-Type: application/ ...

  3. phpcms后台部分修改

    1.后台登陆前提示信息取消及成功后提示信息取消.    (1)后台登陆前提示信息取消               phpcms\modules\admin\classes\admin.class.ph ...

  4. PowerDesigner(四)-业务处理模型(转)

    业务处理模型 业务处理模型(Business Process Model,BPM)以业务需求作为出发点,用图形的方式描述系统的任务和业务流程,注重的是处理过程中数据流程.业务处理模型是从业务人员的角度 ...

  5. JS 实现 ResizeBar,可拖动改变两个区域(带iframe)大小

    将网页化成两个区域,左边区域是一个树结构,右边区域是一个iframe,点击左边区域时,右边区域加载页面.实现功能:在两个区域间加一个可拖动条,拖动时改变左右两个区域的大小.在Google上搜索slid ...

  6. 快速构建Windows 8风格应用35-触控输入

    原文:快速构建Windows 8风格应用35-触控输入 引用 Windows 8设备通常具有多点触摸屏,用户可以同时使用多个手指来进行不同的输入交互,如点击.拖动或收缩等手势操作.另外Windows ...

  7. jquery简单封装

    对Raphael画图标的一个jquery简单封装 公司要做一个项目的demo,要求地图上可以插红旗,所以就用到了Raphael. 因为是个demo,所以地图就用了一张图片,效果如下: 所以为了更好的封 ...

  8. zabbix 主动模式和被动模式说名

    一.zabbix agent主动模式与被动模式的区别 zabbix agent的运行模式有以下两种:1.被动模式:此模式为zabbix默认的工作模式,由zabbix server 向zabbix ag ...

  9. go 闭包程序解读

    package main import "fmt" // 下面这函数就是闭包函数(就是返回一个匿名函数的地址的函数,其中要1.定义一个需要保护的局部变量i 2.一个匿名的函数) , ...

  10. LeetCode-数组操作-Python&lt;三&gt;

    上一篇:LeetCode链表相加-Python<二> 以前没怎么做过算法题,来来去去都是那些循环,所以先从数组简单题开始做. 这两天最大心得: 总在边界里考虑不周到,导致错误 做晕的时候, ...