Pandas Series: str.slice() function
Series-str.slice() function
The str.slice() function is used to slice substrings from each element in the Series or Index.
Syntax:
Series.str.slice(self, start=None, stop=None, step=None)
Parameters:
Name | Description | Type/Default Value | Required / Optional |
---|---|---|---|
start | Start position for slice operation. | int | Optional |
stop | Stop position for slice operation. | int | Optional |
step | Step size for slice operation. |
int | Optional |
Returns: Series, Index, DataFrame or MultiIndex
Type matches caller unless expand=True (see Notes).
Example:
Python-Pandas Code:
import numpy as np
import pandas as pd
s = pd.Series(["tiger", "cat", "elephant"])
s
Output:
0 tiger 1 cat 2 elephant dtype: object
Python-Pandas Code:
import numpy as np
import pandas as pd
s = pd.Series(["tiger", "cat", "elephant"])
s.str.slice(start=1)
Output:
0 iger 1 at 2 lephant dtype: object
Python-Pandas Code:
import numpy as np
import pandas as pd
s = pd.Series(["tiger", "cat", "elephant"])
s.str.slice(stop=2)
Output:
0 ti 1 ca 2 el dtype: object
Example - s.str.slice(step=2):
Python-Pandas Code:
import numpy as np
import pandas as pd
s = pd.Series(["tiger", "cat", "elephant"])
s.str.slice(start=0, stop=5, step=3)
Output:
0 te 1 c 2 ep dtype: object
Example - Equivalent behaviour to:
Python-Pandas Code:
import numpy as np
import pandas as pd
s = pd.Series(["tiger", "cat", "elephant"])
s.str[0:5:3]
Output:
0 te 1 c 2 ep dtype: object
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