doc/Vector.md in red_amber-0.2.0 vs doc/Vector.md in red_amber-0.2.1

- old
+ new

@@ -185,24 +185,24 @@ | Method |Boolean|Numeric|String|Options|Remarks| | ------------ | --- | --- | --- | --- | ----- | | ✓ `-@` | | ✓ | | |as `-vector`| | ✓ `negate` | | ✓ | | |`-@` | | ✓ `abs` | | ✓ | | | | -|[ ]`acos` | | [ ] | | | | -|[ ]`asin` | | [ ] | | | | +| ✓ `acos` | | ✓ | | | | +| ✓ `asin` | | ✓ | | | | | ✓ `atan` | | ✓ | | | | | ✓ `bit_wise_not`| | (✓) | | |integer only| | ✓ `ceil` | | ✓ | | | | | ✓ `cos` | | ✓ | | | | | ✓`fill_nil_backward`| ✓ | ✓ | ✓ | | | | ✓`fill_nil_forward` | ✓ | ✓ | ✓ | | | | ✓ `floor` | | ✓ | | | | | ✓ `invert` | ✓ | | | |`!`, alias `not`| -|[ ]`ln` | | [ ] | | | | -|[ ]`log10` | | [ ] | | | | -|[ ]`log1p` | | [ ] | | | | -|[ ]`log2` | | [ ] | | | | +| ✓ `ln` | | ✓ | | | | +| ✓ `log10` | | ✓ | | | | +| ✓ `log1p` | | ✓ | | |Compute natural log of (1+x)| +| ✓ `log2` | | ✓ | | | | | ✓ `round` | | ✓ | | ✓ Round (:mode, :n_digits)| | | ✓ `round_to_multiple`| | ✓ | | ✓ RoundToMultiple :mode, :multiple| multiple must be an Arrow::Scalar| | ✓ `sign` | | ✓ | | | | | ✓ `sin` | | ✓ | | | | | ✓`sort_indexes`| ✓ | ✓ | ✓ |:order|alias `sort_indices`| @@ -265,11 +265,11 @@ | ✓ `is_nan` | | ✓ | | | | |[ ]`is_nil` | ✓ | ✓ | ✓ |[ ] Null|alias `is_null`| | ✓ `is_valid` | ✓ | ✓ | ✓ | | | | ✓ `less` | ✓ | ✓ | ✓ | |`<`, alias `lt`| | ✓ `less_equal` | ✓ | ✓ | ✓ | |`<=`, alias `le`| -|[ ]`logb` | | [ ] | | | | +| ✓ `logb` | | ✓ | | |logb(b) Compute base `b` logarithm| |[ ]`mod` | | [ ] | | | `%` | | ✓ `multiply` | | ✓ | | | `*` | | ✓ `not_equal` | ✓ | ✓ | ✓ | |`!=`, alias `ne`| | ✓ `or_kleene` | ✓ | | | | `\|` | | ✓ `or_org` | ✓ | | | |`or` in Red Arrow| @@ -281,12 +281,10 @@ ### `uniq` Returns a new array with distinct elements. -(Not impremented functions) - ### `tally` and `value_counts` Compute counts of unique elements and return a Hash. It returns almost same result as Ruby's tally. These methods consider NaNs are same. @@ -306,18 +304,9 @@ ### `quantiles(probs = [1.0, 0.75, 0.5, 0.25, 0.0], interpolation: :linear, skip_nils: true, min_count: 0)` Returns quantiles for specified probabilities in a DataFrame. ### `sort_indexes`, `sort_indices`, `array_sort_indices` - -### [ ] `sort`, `sort_by` -### [ ] argmin, argmax -### [ ] (array functions) -### [ ] (strings functions) -### [ ] (temporal functions) -### [ ] (conditional functions) -### [ ] (index functions) -### [ ] (other functions) ## Coerce ```ruby vector = RedAmber::Vector.new(1,2,3)