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(cherry picked from commit 658f2d5609852b00b7e1011c3841c7266c202686) IJ-MR-168659 GitOrigin-RevId: 66806362570ef564b1495ba5a9afcd32a50859fb
32 lines
1.1 KiB
HTML
32 lines
1.1 KiB
HTML
<html>
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<body>
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<p>
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Reports ambiguous usage of a pandas <code>DataFrame</code> or <code>Series</code> in a boolean context,
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such as <code>if</code>, <code>while</code>, or logical expressions.
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This typically leads to the runtime error:
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<code>ValueError: The truth value of a DataFrame is ambiguous</code>.
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</p>
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<p>
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In pandas, expressions like <code>df</code> or <code>df == other</code> do not return a single boolean value,
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but rather a DataFrame or Series of booleans. Using these in control flow without explicit reduction
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(e.g., <code>.any()</code>, <code>.all()</code>, or <code>.empty</code>) is ambiguous and will raise an exception.
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</p>
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<p><b>Example:</b></p>
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<pre style="font-family: monospace">
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if df: # ❌ Raises ValueError: The truth value of a DataFrame is ambiguous
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print("DataFrame exists")
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if not df.empty: # ✅ Checks if DataFrame has any rows
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print("DataFrame exists")
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</pre>
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<p>
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When the quick-fix is applied, the condition is replaced with an appropriate reducer
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like <code>.any()</code>, <code>.all()</code>, or <code>.empty</code> depending on the context.
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</p>
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</body>
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</html>
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