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POInsert Numpy array into Mysql Database
 

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  1. POInsert Numpy array into Mysql Database
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    <p>Starting with anwser of this: </p> <p><a href="https://stackoverflow.com/questions/6976685/using-numpy-to-create-yahoo-finance-price-table">Using Numpy to create Yahoo finance price table</a></p> <pre><code>import numpy as np import pylab as pl import urllib url = "http://ichart.yahoo.com/table.csv?a=2&amp;c=2011&amp;b=30&amp;e=7&amp;d=7&amp;g=d&amp;f=2011&amp;s=msft&amp;ignore=.csv" f = urllib.urlopen(url) title = f.readline().strip().split(",") data = np.loadtxt(f, dtype=np.float, delimiter=",", converters={0: pl.datestr2num}) </code></pre> <p>I would like to insert return rows into db. data looks like below:</p> <pre><code> [[734233.0 25.98 26.31 25.86 26.15 65581400 25.98] [734232.0 25.82 26.18 25.74 25.78 73694500 25.61] [734231.0 25.45 25.66 25.41 25.55 35433700 25.38] [734228.0 25.53 25.53 25.31 25.48 63114200 25.31] [734227.0 25.60 25.68 25.34 25.39 63233700 25.22] [734226.0 25.60 25.72 25.50 25.61 41999300 25.44]] </code></pre> <p>How would I parse this numpy array to a list or table so I can insert into database. Notice that all row are not separated, but rather one line. The db part works. </p> <p>data.tolist() does not parse single rows</p> <p>looking for output like </p> <pre><code> [[734233.0 ,25.98 ,26.31 ,25.86 ,26.15, 65581400, 25.98] [734232.0, 25.82, 26.18, 25.74, 25.78, 73694500, 25.61] [734231.0, 25.45 ,25.66, 25.41, 25.55, 35433700, 25.38] [734228.0, 25.53, 25.53, 25.31, 25.48, 63114200, 25.31] [734227.0, 25.60 ,25.68, 25.34, 25.39, 63233700, 25.22] [734226.0, 25.60, 25.72, 25.50, 25.61, 41999300, 25.44]] </code></pre> <p>Would replace " " with "," work? </p>
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    1. USMerlin
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    1. COIt's not clear here what exactly you want to do. What do you mean by "Notice that all row are not separated, but rather one line."? I am unable to parse your question.
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      1. USChinmay Kanchi
    2. COWhy don't you just save the data that came from the yahoo directly to the database? Then when you want to do something with it you convert it to a numpy array.
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      1. USAlex Plugaru
    3. CO@CK [734226.0 25.60 25.72 25.50 25.61 41999300 25.44] needs to be parsed. somelike [734226.0 ,25.60, 25.72, 25.50, 25.61, 41999300, 25.44] so the db will data in row a seven elements vs 1 element
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      1. USMerlin
 

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