COMPUTER SCIENCE AND ENGINEERING
DATA STRUCTURES
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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It removes the indices from data frame
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It replaces index number instead of name
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It replaces index names instead of numbers
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It removes all records from data frame
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Detailed explanation-1: -If you set this parameter to ignore index = True, Pandas will ignore the index values in the inputs, and will generate a new index for the output. The index values will be labeled 0, 1, … n-1 .
Detailed explanation-2: -ignore indexbool, default False. If True, do not use the index values along the concatenation axis. The resulting axis will be labeled 0, …, n-1. This is useful if you are concatenating objects where the concatenation axis does not have meaningful indexing information.
Detailed explanation-3: -Explanation: If no index is passed, one will be created having values [0, …, len(data) – 1].
Detailed explanation-4: -To create a DataFrame from DateTimeIndex ignoring the index, use the DateTimeIndex. to frame() method. Set the parameter index to False to ignore the index.