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)