fix prefix error in get_dummies

.gitignore

@@ -3,5 +3,4 @@ node_modules
 coverage
 .nyc_output
 dist
-danfojs/data
-test.html
+danfojs/data

danfojs/src/core/concat.js

@@ -21,7 +21,7 @@ export class Concat {
 
             df_list = kwargs["df_list"];
         } else {
-            throw new Error("df_list must be an Array of dataFrames");
+            throw new Error("df_list must be an Array of dataFrames/Series");
         }
 
         //check if axis is int and is either 0 or 1
@@ -31,7 +31,8 @@ export class Concat {
 
                 axis = kwargs["axis"];
             } else {
-                throw new Error("Invalid axis: axis must be 0 or 1")
+                axis = 1
+                // throw new Error("Invalid axis: axis must be 0 or 1")
             }
 
         } else {
@@ -176,6 +177,7 @@ export class Concat {
             return df;
 
         }
+
     }
 }
 

danfojs/src/core/get_dummies.js

@@ -12,7 +12,12 @@ function oneHot(in_data, prefix, prefix_sep){
         prefix_labels = labels.map((x)=>{
             return prefix + prefix_sep + x
         })
+    }else{
+        prefix_labels = labels.map((x,i)=>{
+            return x+ prefix_sep + i
+        })
     }
+
     let onehot_data = utils.__zeros(in_data.length, labels.length)
 
     for(let i=0; i < in_data.length; i++){
@@ -38,7 +43,7 @@ function get_dummy(kwargs={}){
         utils.__in_object(kwargs,"data", "data not provided")
 
         let prefix = kwargs["prefix"] || null
-        let prefix_sep = kwargs["prefix_sep"] || "_"
+        let prefix_sep = kwargs["prefix_sep"] || ["_"]
         let columns = kwargs["columns"] || null
 
         let is_dataframe = false
@@ -56,8 +61,8 @@ function get_dummy(kwargs={}){
         }
 
         if(!is_dataframe){
-
             let [onehot_data, prefix_labels] = oneHot(in_data, prefix, prefix_sep)
+
             return new DataFrame(onehot_data,{columns: prefix_labels})
         }
         else{

danfojs/src/core/merge.js

@@ -10,12 +10,18 @@ export class Merge {
         utils.__in_object(kwargs, "left")
         utils.__in_object(kwargs, "right")
         utils.__in_object(kwargs, "on")
-        utils.__in_object(kwargs, "how")
+        // utils.__in_object(kwargs, "how")
+        if(!utils.__key_in_object(kwargs, "how")){
+            this.how = 'inner'
+            kwargs['how'] = 'inner'
+        }else{
+            this.how = kwargs['how']
+        }
 
         this.left = null;
         this.right = null;
         this.on = null;
-        this.how = null;
+        // this.how = null;
 
         let how_keys = ["outer", "inner", "left", "right"]
 

danfojs/src/index.js

@@ -8,4 +8,5 @@ export {merge} from './core/merge'
 export {concat} from './core/concat'
 export {LabelEncoder, OneHotEncoder} from './preprocessing/encodings' //TODO Create js file to expose functions
 export {RobustScaler, MinMaxScaler, StandardScaler} from './preprocessing/scalers'
-export {date_range} from './core/date_range'
+export {date_range} from './core/date_range'
+export {get_dummies} from './core/get_dummies'

danfojs/tests/core/get_dummies.js

@@ -9,7 +9,7 @@ describe("get_dummies", function(){
 
         let data = ["dog","male","female","male","female","male","dog"]
 
-        let df = get_dummies({data:data,prefix:"test",prefix_sep:"/"})
+        let df = get_dummies({data:data})
 
         let df_values = [
             [ 1, 0, 0 ],
@@ -20,7 +20,7 @@ describe("get_dummies", function(){
             [ 0, 1, 0 ],
             [ 1, 0, 0 ]
           ]
-        let df_columns = [ 'test/dog', 'test/male', 'test/female' ]       
+        let df_columns = [ 'dog_0', 'male_1', 'female_2' ]       
 
         assert.deepEqual(df.values, df_values)
         assert.deepEqual(df.columns, df_columns)