@@ -118,7 +118,7 @@ bench -n 10 --pretty {
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}
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}
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```
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- ``` output-numd
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+ ```
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3sec 268ms +/- 50ms
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```
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@@ -142,7 +142,7 @@ bench -n 10 --pretty {
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python load.py | null
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}
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```
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- ``` output-numd
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+ ```
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1sec 322ms +/- 6ms
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```
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@@ -169,7 +169,7 @@ bench -n 10 --pretty {
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nu load.nu | complete | null
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}
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```
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- ``` output-numd
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+ ```
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135ms +/- 4ms
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```
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@@ -436,7 +436,7 @@ $group
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(polars col float_2 | polars count)
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] | polars sort-by first
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```
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- ``` output-numd
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+ ```
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╭────────────────┬─────────────────────────────────────────────────────────────────────────────────────────────────────╮
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│ plan │ SORT BY [col("first")] │
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│ │ AGGREGATE │
@@ -904,7 +904,7 @@ in column `word`
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``` nu
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$df_1 | polars filter-with ($in.word | polars is-unique)
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```
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- ``` output-numd
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+ ```
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╭───┬───────┬───────┬─────────┬─────────┬───────┬────────┬───────┬───────╮
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│ # │ int_1 │ int_2 │ float_1 │ float_2 │ first │ second │ third │ word │
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├───┼───────┼───────┼─────────┼─────────┼───────┼────────┼───────┼───────┤
@@ -918,7 +918,7 @@ Or all the duplicated ones
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``` nu
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$df_1 | polars filter-with ($in.word | polars is-duplicated)
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```
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- ``` output-numd
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+ ```
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╭───┬───────┬───────┬─────────┬─────────┬───────┬────────┬───────┬────────╮
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│ # │ int_1 │ int_2 │ float_1 │ float_2 │ first │ second │ third │ word │
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├───┼───────┼───────┼─────────┼─────────┼───────┼────────┼───────┼────────┤
@@ -994,7 +994,7 @@ $lf_0
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]
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| polars collect
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```
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- ``` output-numd
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+ ```
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╭───┬───┬───┬──────────┬────────╮
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│ # │ a │ b │ double_a │ half_a │
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├───┼───┼───┼──────────┼────────┤
@@ -1065,7 +1065,7 @@ $lf_1
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]
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| polars collect
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```
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- ``` output-numd
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+ ```
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╭───┬──────┬─────┬──────╮
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│ # │ name │ sum │ mean │
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├───┼──────┼─────┼──────┤
@@ -1088,7 +1088,7 @@ let group = $lf_2
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$lf_2 | polars join $group name name | polars collect
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```
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- ``` output-numd
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+ ```
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╭───┬──────┬───────┬─────┬──────╮
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│ # │ name │ value │ sum │ mean │
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├───┼──────┼───────┼─────┼──────┤
@@ -1182,4 +1182,4 @@ commands and tools that take advantage of these commands will be added as they
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mature.
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Keep visiting this book in order to check the new things happening to
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- dataframes and how they can help you process data faster and efficiently.
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+ dataframes and how they can help you process data faster and efficiently.
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