擅长:python、mysql、java
<p>您可以使用<code>pandas</code>和<code>iterrows</code>并根据需要解析数据:</p>
<pre><code>import pandas as pd
data = {"Product": ["category1","category2","category3"],
"Category": [4,5,9], "Length": [4,2,3], "Width": [3,3,3]}
df = pd.DataFrame(data=data)
parsed_data = {}
for index, row in df.iterrows():
parsed_data[row["Product"]] = (row["Category"], row["Length"], row["Width"])
print(parsed_data)
</code></pre>
<p>产出:</p>
<pre><code>{'category1': (4, 4, 3), 'category2': (5, 2, 3), 'category3': (9, 3, 3)}
</code></pre>