擅长:python、mysql、java
<p>尝试:</p>
<pre class="lang-py prettyprint-override"><code>df = pd.DataFrame({'Names': name_row, 'Rating': rating_row, 'Title': title_row})
print(df)
# Names Rating Title
# 0 Bob 4.0 Geat
# 1 Jerry 2.5 Okay
# 2 Will 3.7 Nice
</code></pre>
<p>这个结构在<a href="https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html" rel="nofollow noreferrer">doc</a>中解释。具体而言,请阅读其中的第一个示例:</p>
<pre class="lang-py prettyprint-override"><code>d = {'col1': [1, 2], 'col2': [3, 4]}
df = pd.DataFrame(data=d)
# df
# col1 col2
# 0 1 3
# 1 2 4
</code></pre>