Pandas pd.Series() Function |
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Pandas pd.Series() Function
pd.Series() is a core function in the Pandas library used to create a one-dimensional array (similar to a list or NumPy array), but it is more powerful than standard arrays. Series can store any data type (such as integers, strings, floats, etc.), and each element has an associated index, making data manipulation more flexible.
Basic Syntax of pd.Series()
pd.Series(data, index=None, dtype=None, name=None, copy=False)
Parameter Description:
- data: Data, which can be a list, dictionary, NumPy array, etc.
- index: Index, used to label the data. If not specified, it defaults to starting from 0.
- dtype:
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