@@ -88,7 +88,7 @@ columns.
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Column selectors are widely used across operations — one of the simplest examples is ` .select { } ` , which returns a new
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DataFrame with only the columns chosen in Columns Selection expression.
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- After executing the cell where a ` DataFrame ` variable is declared,
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+ * After executing the cell* where a ` DataFrame ` variable is declared,
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[ extension properties] ( extensionPropertiesApi.md ) for its columns are automatically generated.
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These properties can then be used in the Columns Selection DSL expression for typesafe and convenient column access.
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@@ -111,13 +111,13 @@ dfSelected
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## Row Filtering
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- Some operations use [ DataRow API] ( DataRow.md ) , with expressions and conditions
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+ Some operations use the [ DataRow API] ( DataRow.md ) , with expressions and conditions
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that apply for all ` DataFrame ` rows.
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- For example, ` .filter { } ` that returns a new ` DataFrame ` with rows \
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- that satisfy a condition given by row expression.
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+ For example, ` .filter { } ` that returns a new ` DataFrame ` with rows that satisfy a condition given by row expression.
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Inside a row expression, you can access the values of the current row by column names through auto-generated properties.
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- Similar to the Columns Selection DSL, but in this case the properties represent actual values, not column references.
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+ Similar to the [ Columns Selection DSL] ( ColumnSelectors.md ) ,
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+ but in this case the properties represent actual values, not column references.
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Filter rows by "stargazers_count" value:
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