Update 001_Python_Pandas_DataFrame.ipynb

milaan9 · web-flow · commit ceb5d60e539b · 2021-06-17T17:53:05.000+05:30
diff --git a/001_Python_Pandas_DataFrame.ipynb b/001_Python_Pandas_DataFrame.ipynb
@@ -777,7 +777,7 @@
    "source": [
     "## DataFrame modification\n",
     "\n",
-    "DataFrame is similar to any excel sheet or a database table where we need to insert new data or **[drop columns]()** and rows if not required. Such data manipulation operations are very common on a DataFrame.\n",
+    "DataFrame is similar to any excel sheet or a database table where we need to insert new data or **[drop columns](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/004_Python_Pandas_DataFrame_drop_columns.ipynb)** and rows if not required. Such data manipulation operations are very common on a DataFrame.\n",
     "\n",
     "In this section, we discuss the data manipulation functions of the DataFrame."
    ]
@@ -844,12 +844,12 @@
    "source": [
     "### Drop columns\n",
     "\n",
-    "DataFrame may contain redundant data, in such cases, we may need to delete such data that is not required. **`DataFrame.drop()`** function is used to **[delete the columns from DataFrame]()**.\n",
+    "DataFrame may contain redundant data, in such cases, we may need to delete such data that is not required. **`DataFrame.drop()`** function is used to **[delete the columns from DataFrame](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/004_Python_Pandas_DataFrame_drop_columns.ipynb)**.\n",
     "\n",
     "Refer to the following articles to get more details\n",
     "\n",
-    "* **[Drop duplicates]()**\n",
-    "* **[Drop columns with NA]()**"
+    "* **[Drop duplicates](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/005_Python_Pandas_DataFrame_drop_duplicates.ipynb)**\n",
+    "* **[Drop columns with NA](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/006_Python_Pandas_DataFrame_drop_duplicates_with_NA.ipynb)**"
    ]
   },
   {
