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POPandas DataFrame to SqLite
 

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  1. POPandas DataFrame to SqLite
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    <p>I'm learning how to write a pandas dataFrame to SQLite db.</p> <p>I went in one example code:</p> <pre><code>import pandas as pd import pandas.io.sql as pd_sql import sqlite3 as sql con = sql.connect("/home/msalese/Documents/ipyNotebooks/tmp.db") df =pd.DataFrame({'TestData':[1,2,3,4,5,6,7,8,9]}) pd_sql.write_frame(df, "tbldata2", con) </code></pre> <p>But above code rise an exception:</p> <pre><code>--------------------------------------------------------------------------- InterfaceError Traceback (most recent call last) &lt;ipython-input-31-c844f7e3f2e6&gt; in &lt;module&gt;() ----&gt; 1 pd_sql.write_frame(df, "tbldata2", con) /opt/epdFree7.3.2/lib/python2.7/site-packages/pandas-0.10.1-py2.7-linux-x86_64.egg/pandas/io/sql.pyc in write_frame(frame, name, con, flavor, if_exists, **kwargs) 208 if func is None: 209 raise NotImplementedError --&gt; 210 func(frame, name, safe_names, cur) 211 cur.close() 212 con.commit() /opt/epdFree7.3.2/lib/python2.7/site-packages/pandas-0.10.1-py2.7-linux-x86_64.egg/pandas/io/sql.pyc in _write_sqlite(frame, table, names, cur) 219 table, col_names, wildcards) 220 data = [tuple(x) for x in frame.values] --&gt; 221 cur.executemany(insert_query, data) 222 223 def _write_mysql(frame, table, names, cur): InterfaceError: Error binding parameter 0 - probably unsupported type. </code></pre> <p>I think that the problem is on code line 220. If I try :</p> <pre><code>[tuple(x) for x in df.values] </code></pre> <p>the result is:</p> <pre><code>[(1,), (2,), (3,), (4,), (5,), (6,), (7,), (8,), (9,)] </code></pre> <p>may be commas give noise to sqlite db.</p> <p>I'm not sure, can someone give me an hint, please ?</p>
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    1. COThe problem is avoided if you specify a float dtype. For example, `df = pd.DataFrame({'TestData': [1, 2, 3, 4, 5, 6, 7, 8, 9]}, dtype='float')`
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    2. COThanks very much, df = pd.DataFrame({'TestData': [1, 2, 3, 4, 5, 6, 7, 8, 9]}, dtype='float') works fine.
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