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Unlike pandas you need to specify the column names.\n+#\n+\n+df = op.create.df(\n+    [\n+        \"names\",\n+        \"height(ft)\",\n+        \"function\",\n+        \"rank\",\n+        \"weight(t)\",\n+        \"japanese name\",\n+        \"last position\",\n+        \"attributes\"\n+    ],\n+    [\n+        \n+        (\"Optim'us\", 28.0, \"Leader\", 10, 4.3, [\"Inochi\", \"Convoy\"], \"19.442735,-99.201111\",[8.5344, 4300.0]),\n+        (\"bumbl#ebéé  \", 17.5, \"Espionage\", 7, 2.0, [\"Bumble\",\"Goldback\"], \"10.642707,-71.612534\",[5.334, 2000.0]),\n+        (\"ironhide&\", 26.0, \"Security\", 7, 4.0, [\"Roadbuster\"], \"37.789563,-122.400356\",[7.9248, 4000.0]),\n+        (\"Jazz\",13.0, \"First Lieutenant\", 8, 1.8, [\"Meister\"], \"33.670666,-117.841553\",[3.9624, 1800.0]),\n+        (\"Megatron\",None, \"None\", None, 5.7, [\"Megatron\"], None,[None,5700.0]),\n+        (\"Metroplex_)^$\",300.0 , \"Battle Station\", 8, None, [\"Metroflex\"],None,[91.44, None]),\n+        \n+    ]).h_repartition(1)\n+df.table()\n+\n+# Creating a dataframe by passing a list of tuples specifyng the column data type. 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