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# Create a Pandas Series from array

• Difficulty Level : Easy
• Last Updated : 07 Feb, 2019

Pandas Series is a one-dimensional labelled array capable of holding any data type (integers, strings, floating point numbers, Python objects, etc.). It has to be remembered that unlike Python lists, a Series will always contain data of the same type.

Let’s see how to create a Pandas Series from the array.

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Method #1:Create a series from array without index.

In this case as no index is passed, so by default index will be `range(n)` where n is array length.

 `# importing Pandas & numpy``import` `pandas as pd``import` `numpy as np`` ` `# numpy array``data ``=` `np.array([``'a'``, ``'b'``, ``'c'``, ``'d'``, ``'e'``])`` ` `# creating series``s ``=` `pd.Series(data)``print``(s)`
Output:
```0    a
1    b
2    c
3    d
4    e
dtype: object
```

Method #2: Create a series from array with index.

In this case we will pass index as a parameter to the constructor.

 `# importing Pandas & numpy``import` `pandas as pd``import` `numpy as np`` ` `# numpy array``data ``=` `np.array([``'a'``, ``'b'``, ``'c'``, ``'d'``, ``'e'``])`` ` `# creating series``s ``=` `pd.Series(data, index ``=``[``1000``, ``1001``, ``1002``, ``1003``, ``1004``])``print``(s)`
Output:
```1000    a
1001    b
1002    c
1003    d
1004    e
dtype: object
```

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