Pandas Series: str.startswith() function

Series-str.startswith() function

The str.startswith() function is used to test if the start of each string element matches a pattern.
The function is equivalent to str.startswith().

Syntax:

Series.str.startswith(self, pat, na=nan)

Parameters:

Returns: Series or Index of bool
A Series of booleans indicating whether the given pattern matches the start of each string element.

Example:

Python-Pandas Code:

import numpy as np
import pandas as pd
s = pd.Series(['dog', 'Deer', 'fox', np.nan])
s

Output:

0     dog
1    Deer
2     fox
3     NaN
dtype: object

Python-Pandas Code:

import numpy as np
import pandas as pd
s = pd.Series(['dog', 'Deer', 'fox', np.nan])
s.str.startswith('d')

Output:

0     True
1    False
2    False
3      NaN
dtype: object

Example - Specifying na to be False instead of NaN:

Python-Pandas Code:

import numpy as np
import pandas as pd
s = pd.Series(['dog', 'Deer', 'fox', np.nan])
s.str.startswith('d', na=False)

Output:

0     True
1    False
2    False
3    False
dtype: bool

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