擅长:python、mysql、java
<p>希望这有帮助。您可以使用分隔符或Sep.referepython<a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html" rel="nofollow noreferrer">Documentation</a></p>
<blockquote>
<p>\s - Matches any whitespace character; this is equivalent to the set [
\t\n\r\f\v].</p>
</blockquote>
<pre><code>import pandas as pd
my_cols = [str(i) for i in range(45)] # create some row names
dataset = pd.read_csv('/Data/formatted1.csv', sep="\s+|;|,", names=my_cols, header=None, engine="python")
</code></pre>
<p>感谢<a href="https://stackoverflow.com/questions/48063620/pandas-read-csv-for-multiple-delimiters">@Tai</a></p>