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dataset.clj
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dataset.clj
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(ns tablecloth.api.dataset
(:refer-clojure :exclude [concat])
(:require [tech.v3.dataset :as ds]
[tech.v3.dataset.column :as col]
[tech.v3.dataset.protocols :as prot]
[tech.v3.dataset.print :as p]
[tech.v3.tensor :as tensor]
[tech.v3.dataset.tensor :as ds-tensor]
[tablecloth.api.utils :refer [iterable-sequence? grouped? mark-as-group map-inst?]])
(:import [java.io FileNotFoundException]))
;;;;;;;;;;;;;;;;;;;;;
;; DATASET CREATION
;;;;;;;;;;;;;;;;;;;;;
(defn dataset?
"Is `ds` a `dataset` type?"
[ds]
(prot/is-dataset? ds))
(defn empty-ds?
[ds]
(zero? (ds/row-count ds)))
#_(defn- fix-map-dataset
"If map contains value which is not a sequence, convert it to a sequence."
[map-ds]
(let [c (if-let [first-seq (->> map-ds
(vals)
(filter iterable-sequence?)
(first))]
(count first-seq)
1)]
(apply array-map (interleave (keys map-ds)
(map #(if (iterable-sequence? %) % (repeat c %)) (vals map-ds))))))
(defn- from-tensor
[data column-names layout dataset-name]
(let [t (tensor/->tensor data)
t (-> (if (= layout :as-columns) (tensor/transpose t [1 0]) t)
(ds-tensor/tensor->dataset dataset-name))]
(if column-names
(ds/rename-columns t (zipmap (range (ds/column-count t)) column-names))
t)))
(defn- array-of-arrays? [in] (and in (= "[[" (subs (.getName (class in)) 0 2))))
(defn dataset
"Create a `dataset`.
Dataset can be created from:
* map of values and/or sequences
* sequence of maps
* sequence of columns
* file or url
* array of arrays
* single value
Single value is set only when it's not possible to find a path for given data. If tech.ml.dataset throws an exception, it's won;t be printed. To print a stack trace, set `stack-trace?` option to `true`.
ds/->dataset documentation:
"
([] (ds/new-dataset nil))
([data]
(dataset data nil))
([data {:keys [single-value-column-name column-names layout dataset-name stack-trace? error-column?]
:or {single-value-column-name :$value layout :as-rows stack-trace? false error-column? true}
:as options}]
(cond
(prot/is-dataset? data) data
(map-inst? data) (ds/->dataset data options)
(and (iterable-sequence? data)
(every? iterable-sequence? data)
(every? #(and (= 2 (count %))
(or (keyword? (first %))
(string? (first %)))) data)) (dataset (apply array-map (mapcat identity data)) options)
(and (iterable-sequence? data)
(every? col/is-column? data)) (ds/new-dataset options data)
(or (array-of-arrays? data)
(and (iterable-sequence? data)
(not-every? map? data))) (from-tensor data column-names layout dataset-name)
(array-of-arrays? data) (ds/new-dataset options (map ds/new-column (or column-names (range)) data))
;; empty data but column-names exist
(and (not data)
column-names) (ds/new-dataset options (map (fn [n] (ds/new-column n [])) column-names))
:else (try (ds/->dataset data options)
(catch FileNotFoundException fnfe (throw fnfe))
;; create a singleton
(catch Exception e
(do
(when stack-trace? (.printStackTrace e))
(let [row {single-value-column-name data}]
(ds/->dataset (if error-column?
(assoc row :$error (.getMessage e))
row) options))))))))
;; https://github.com/scicloj/tablecloth/issues/112
(alter-meta! #'dataset update :doc str (:doc (meta #'ds/->dataset)))
(defn shape
"Returns shape of the dataset [rows, cols]"
[ds]
[(ds/row-count ds)
(ds/column-count ds)])
(defn- columns-info
[ds]
(dataset (->> (ds/columns ds)
(map meta))
{:dataset-name (str (ds/dataset-name ds) " :column info")}))
(defn info
"Returns a statistcial information about the columns of a dataset.
`result-type ` can be :descriptive or :columns"
([ds] (info ds :descriptive))
([ds result-type]
(condp = result-type
:descriptive (ds/descriptive-stats ds)
:columns (columns-info ds)
(let [grouped? (boolean (:grouped? (meta ds)))
nm (ds/dataset-name ds)
inf {:name nm
:grouped? grouped?}]
(dataset (if grouped?
(assoc inf :groups (ds/row-count inf))
(assoc inf
:rows (ds/row-count ds)
:columns (ds/column-count ds)))
{:dataset-name (str nm " :basic info")})))))
(defn columns
"Returns columns of dataset. Result type can be any of:
* `:as-map`
* `:as-double-arrays`
* `:as-seqs`
"
([ds] (columns ds :as-seqs))
([ds result-type]
(let [cols (ds/columns ds)]
(case result-type
:as-map (zipmap (ds/column-names ds) cols)
:as-double-arrays (into-array (map double-array (ds/columns ds)))
:as-seqs cols
cols))))
(defn rows
"Returns rows of dataset. Result type can be any of:
* `:as-maps` - maps
* `:as-double-arrays` - double arrays
* `:as-seqs` - reader (sequence, default)
* `:as-vecs` - vectors
If you want to elide nils in maps set `:nil-missing?` option to false (default: `true`).
Another option - `:copying?` - when true row values are copied on read (default: `false`)."
([ds] (rows ds :as-seqs))
([ds result-type] (rows ds result-type nil))
([ds result-type {:keys [nil-missing?]
:or {nil-missing? true}
:as options}]
(let [options (assoc options :nil-missing? nil-missing?)]
(case result-type
:as-maps (ds/mapseq-reader ds options)
:as-double-arrays (into-array (map double-array (ds/value-reader ds)))
:as-seqs (ds/value-reader ds options)
:as-vecs (ds/rowvecs ds options)
(ds/value-reader ds options)))))
(defn print-dataset
"Prints dataset into console. For options see
tech.v3.dataset.print/dataset-data->str"
([ds] (println (p/dataset->str ds)))
([ds options] (println (p/dataset->str ds options))))
;;
(defn get-entry
"Returns a single value from given column and row"
[ds column row]
(get-in ds [column row]))
;;
(defn- do-concat
[concat-fs ds & datasets]
(let [res (apply concat-fs ds datasets)]
(if (and (grouped? ds)
(every? grouped? datasets))
(-> res
(ds/add-or-update-column :group-id (range (ds/row-count res)))
(mark-as-group))
res)))
(defn concat
"Joins rows from other datasets"
[dataset & datasets]
(apply do-concat ds/concat dataset datasets))
(defn concat-copying
"Joins rows from other datasets via a copy of data"
[dataset & datasets] (apply do-concat ds/concat-copying dataset datasets))