擅长:python、mysql、java
<p>这是熊猫的等价物。如果您想更快地访问该文件,可以检查如下内容:<a href="http://pythondata.com/working-large-csv-files-python/" rel="nofollow noreferrer">http://pythondata.com/working-large-csv-files-python/</a>。本指南将帮助您建立csv数据库</p>
<pre><code>import pandas as pd
data = '''\
0.0063,0.0121,band -> mcr music
0.0061,0.0123,band -> mcr
0.0062,0.0122,band -> orchestra'''
file = pd.compat.StringIO(data) # Replace with path/to/file
df = pd.read_csv(file, sep=',', header=None).sort_values(by=1, ascending=False)
for i in df.values:
print(i)
#df.to_csv('path/to/outfile', index=False, header=False)
</code></pre>
<p>印刷品:</p>
<pre><code>[0.0061 0.0123 'band -> mcr']
[0.0062 0.0122 'band -> orchestra']
[0.0063 0.0121 'band -> mcr music']
</code></pre>