Remove post es5 null checker

Author: risenW

danfojs-browser/lib/bundle.js

@@ -327,7 +327,7 @@ export default class DataFrame extends NDframe {
     }
 
     if (inplace) {
-      const newData = tensorResult?.arraySync();
+      const newData = tensorResult.arraySync();
       this.$setValues(newData);
     } else {
       return new DataFrame(
@@ -1647,9 +1647,9 @@ export default class DataFrame extends NDframe {
     if (drop) {
       const dfDropped = this.drop({ columns: [column] });
 
-      const newData = dfDropped?.values;
-      const newColumns = dfDropped?.columns;
-      const newDtypes = dfDropped?.dtypes;
+      const newData = dfDropped.values;
+      const newColumns = dfDropped.columns;
+      const newDtypes = dfDropped.dtypes;
 
       if (inplace) {
         this.$setValues(newData, true, false);

danfojs-browser/lib/bundle.js.map

@@ -116,8 +116,8 @@ function dummyEncode(data, options) {
   } else {
 
     const dfWithSelectedColumnsDropped = data.drop({ columns });
-    let newData = dfWithSelectedColumnsDropped?.values;
-    const newColumnNames = dfWithSelectedColumnsDropped?.columns;
+    let newData = dfWithSelectedColumnsDropped.values;
+    const newColumnNames = dfWithSelectedColumnsDropped.columns;
     for (let i = 0; i < columns.length; i++) {
       const column = columns[i];
       const colData = data.column(column).values;

danfojs-browser/src/core/frame.js

@@ -984,7 +984,7 @@ export default class Series extends NDframe {
      */
   argsort(ascending = true) {
     const sortedIndex = this.sort_values(ascending);
-    const sf = new Series(sortedIndex?.index);
+    const sf = new Series(sortedIndex.index);
     return sf;
   }
 

danfojs-browser/src/core/get_dummies.js

@@ -50,7 +50,7 @@ const $readJSON = async (file, options) => {
       const reader = new FileReader();
       reader.readAsText(file);
       reader.onload = (event) => {
-        const jsonObj = JSON.parse(event?.target?.result);
+        const jsonObj = JSON.parse(event.target.result);
         resolve(new DataFrame(jsonObj));
       };
     });

danfojs-browser/src/core/series.js

@@ -327,7 +327,7 @@ export default class DataFrame extends NDframe {
     }
 
     if (inplace) {
-      const newData = tensorResult?.arraySync();
+      const newData = tensorResult.arraySync();
       this.$setValues(newData);
     } else {
       return new DataFrame(
@@ -1647,9 +1647,9 @@ export default class DataFrame extends NDframe {
     if (drop) {
       const dfDropped = this.drop({ columns: [column] });
 
-      const newData = dfDropped?.values;
-      const newColumns = dfDropped?.columns;
-      const newDtypes = dfDropped?.dtypes;
+      const newData = dfDropped.values;
+      const newColumns = dfDropped.columns;
+      const newDtypes = dfDropped.dtypes;
 
       if (inplace) {
         this.$setValues(newData, true, false);

danfojs-browser/src/io/io.json.js

@@ -116,8 +116,8 @@ function dummyEncode(data, options) {
   } else {
 
     const dfWithSelectedColumnsDropped = data.drop({ columns });
-    let newData = dfWithSelectedColumnsDropped?.values;
-    const newColumnNames = dfWithSelectedColumnsDropped?.columns;
+    let newData = dfWithSelectedColumnsDropped.values;
+    const newColumnNames = dfWithSelectedColumnsDropped.columns;
     for (let i = 0; i < columns.length; i++) {
       const column = columns[i];
       const colData = data.column(column).values;