擅长:python、mysql、java
<p><a href="http://pandas.pydata.org/pandas-docs/stable/10min.html" rel="nofollow noreferrer">^{<cd1>}</a>是解决您的需求的强大工具。它提供了轻松处理CSV文件的工具。您可以在<code>DataFrames</code>中管理数据。在</p>
<pre><code>import pandas as pd
# read the CSV file into DataFrame
df = pd.read_csv('file.csv', sep=',', header=None, index_col = 0)
print (df)
</code></pre>
<p><a href="https://i.stack.imgur.com/wB1cS.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/wB1cS.png" alt="enter image description here"/></a></p>
^{pr2}$
<p><a href="https://i.stack.imgur.com/rlzay.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/rlzay.png" alt="enter image description here"/></a></p>
<pre><code># eliminating the #101 row of data
df.drop(101, axis=0, inplace=True)
print (df)
</code></pre>
<p>{a4}</p>