Update method name in groupby to camel case

Author: risenW

src/danfojs-base/aggregators/groupby.ts

@@ -462,31 +462,31 @@ export default class Groupby {
    * @returns DataFrame
    * 
    */
-  cumsum(): DataFrame{
+  cumSum(): DataFrame{
     return this.operations("cumsum")
   }
 
   /**
    * Obtain the cummax of columns for each group
    * @returns DataFrame
    */
-  cummax(): DataFrame{
+  cumMax(): DataFrame{
     return this.operations("cummax")
   }
 
   /**
    * Obtain the cumprod of columns for each group
    * @returns DataFrame
    */
-  cumprod(): DataFrame{
+  cumProd(): DataFrame{
     return this.operations("cumprod")
   }
 
   /**
    * Obtain the cummin of columns for each group
    * @returns DataFrame
    */
-  cummin(): DataFrame{
+  cumMin(): DataFrame{
     return this.operations("cummin")
   }
 

src/danfojs-browser/tests/aggregators/groupby.test.js

@@ -128,7 +128,7 @@ describe("groupby", function () {
       [ 20, 30, 30, 40 ],
       [ 39, 89, 89, 78 ]
     ];
-    assert.deepEqual(group_df.col([ "B", "C" ]).cumsum().values, new_data);
+    assert.deepEqual(group_df.col([ "B", "C" ]).cumSum().values, new_data);
   });
 
   it("cummulative max for groupby", function () {
@@ -140,7 +140,7 @@ describe("groupby", function () {
     let new_data = [ [ 1, 3 ], [ 4, 6 ], [ 20, 40 ], [ 39, 78 ] ];
 
 
-    assert.deepEqual(group_df.col([ "C" ]).cummax().values, new_data);
+    assert.deepEqual(group_df.col([ "C" ]).cumMax().values, new_data);
   });
 
   it("cummulative min for groupby", function () {
@@ -151,7 +151,7 @@ describe("groupby", function () {
     let group_df = df.groupby([ "A" ]);
     let new_data = [ [ 1, 3 ], [ 4, 6 ], [ 20, 40 ], [ 39, 78 ] ];
 
-    assert.deepEqual(group_df.col([ "C" ]).cummin().values, new_data);
+    assert.deepEqual(group_df.col([ "C" ]).cumMin().values, new_data);
   });
 
   it("cummulative prod for groupby", function () {
@@ -162,7 +162,7 @@ describe("groupby", function () {
     let group_df = df.groupby([ "A" ]);
     let new_data = [ [ 1, 3 ], [ 4, 6 ], [ 20, 40 ], [ 39, 78 ] ];
 
-    assert.deepEqual(group_df.col([ "C" ]).cumprod().values, new_data);
+    assert.deepEqual(group_df.col([ "C" ]).cumProd().values, new_data);
   });
 
   it("mean for groupby", function () {

src/danfojs-node/test/aggregators/groupby.test.ts

@@ -131,7 +131,7 @@ describe("groupby", function () {
             [20, 30, 30, 40],
             [39, 89, 89, 78]
         ];
-        assert.deepEqual(group_df.col(["B", "C"]).cumsum().values, new_data);
+        assert.deepEqual(group_df.col(["B", "C"]).cumSum().values, new_data);
     });
 
     it("cummulative max for groupby", function () {
@@ -143,7 +143,7 @@ describe("groupby", function () {
         let new_data = [[1, 3], [4, 6], [20, 40], [39, 78]];
 
 
-        assert.deepEqual(group_df.col(["C"]).cummax().values, new_data);
+        assert.deepEqual(group_df.col(["C"]).cumMax().values, new_data);
     });
 
     it("cummulative min for groupby", function () {
@@ -154,7 +154,7 @@ describe("groupby", function () {
         let group_df = df.groupby(["A"]);
         let new_data = [[1, 3], [4, 6], [20, 40], [39, 78]];
 
-        assert.deepEqual(group_df.col(["C"]).cummin().values, new_data);
+        assert.deepEqual(group_df.col(["C"]).cumMin().values, new_data);
     });
 
     it("cummulative prod for groupby", function () {
@@ -165,7 +165,7 @@ describe("groupby", function () {
         let group_df = df.groupby(["A"]);
         let new_data = [[1, 3], [4, 6], [20, 40], [39, 78]];
 
-        assert.deepEqual(group_df.col(["C"]).cumprod().values, new_data);
+        assert.deepEqual(group_df.col(["C"]).cumProd().values, new_data);
     });
 
     it("mean for groupby", function () {