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[Autoloop] [Autoloop: build-tsb-pandas-typescript-migration] #101

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[Autoloop] [Autoloop: build-tsb-pandas-typescript-migration] #101

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Iteration 172: Add na_ops — isna/notna/ffill/bfill
github-actions[bot] Apr 11, 2026
2978745
Iteration 174: Add pct_change for Series and DataFrame
github-actions[bot] Apr 11, 2026
9967569
Iteration 184: Add where/mask — conditional replacement for Series an…
github-actions[bot] Apr 11, 2026
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15 changes: 15 additions & 0 deletions playground/index.html
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Expand Up @@ -254,6 +254,11 @@ <h3><a href="elem_ops.html" style="color: var(--accent); text-decoration: none;"
<p>Element-wise transformations. clip(), seriesAbs(), seriesRound() for Series and DataFrame with min/max bounds, decimal precision, and axis support.</p>
<div class="status done">✅ Complete</div>
</div>
<div class="feature-card">
<h3><a href="na_ops.html" style="color: var(--accent); text-decoration: none;">🔍 missing-value ops</a></h3>
<p>Detect and fill missing values. isna(), notna(), isnull(), notnull() for scalars/Series/DataFrame. ffillSeries(), bfillSeries(), dataFrameFfill(), dataFrameBfill() with optional limit and axis support.</p>
<div class="status done">✅ Complete</div>
</div>
<div class="feature-card">
<h3><a href="value_counts.html" style="color: var(--accent); text-decoration: none;">🔢 value_counts</a></h3>
<p>Count unique values. valueCounts() for Series and dataFrameValueCounts() for DataFrame with normalize, sort, ascending, and dropna options.</p>
Expand All @@ -264,6 +269,16 @@ <h3><a href="multi_index.html" style="color: var(--accent); text-decoration: non
<p>Hierarchical indexing. MultiIndex for multi-level row and column labels with fromArrays, fromTuples, fromProduct, level access, and swapLevels.</p>
<div class="status done">✅ Complete</div>
</div>
<div class="feature-card">
<h3><a href="pct_change.html" style="color: var(--accent); text-decoration: none;">📊 pct_change</a></h3>
<p>Fractional change between elements. pctChangeSeries() and pctChangeDataFrame() with periods, fillMethod (pad/bfill), limit, and axis options.</p>
<div class="status done">✅ Complete</div>
</div>
<div class="feature-card">
<h3><a href="where_mask.html" style="color: var(--accent); text-decoration: none;">🎭 where / mask</a></h3>
<p>Conditional keep/replace for Series and DataFrame. whereSeries(), maskSeries(), whereDataFrame(), maskDataFrame() — mirrors pandas .where() and .mask().</p>
<div class="status done">✅ Complete</div>
</div>
</div>
</section>
</main>
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