Series.take() Pandas Series.take() returns items at given positional indices along the axis … Here we are not indexing according to the actual values ​​in the index attribute of the object. We index according to the actual position of the element in the object.

Syntax: Series.take (indices, axis = 0, convert = None, is_copy = True, ** kwargs)

Parameter:
indices: An array of ints indicating which positions to take.
axis: The axis on which to select elements.
– & gt;  0 means that we are selecting rows.
– & gt;  1 means that we are selecting columns.
convert: Whether to convert negative indices into positive ones
is_copy: Whether to return a copy of the original object or not.
** kwargs: For compatibility with numpy.take (). Has no effect on the output.

Returns: taken: same type as caller

Example # 1: Use Series.take () to extract some elements from a given series object based on the actual position of the elements in the object.

# import pandas as pd import pandas as pd   # Create series sr = pd.Series ([ `New York` , `Chicago` , ` Toronto` , `Lisbon` , `Rio` , ` Moscow` ])    # Create date and time index didx = pd.DatetimeIndex (start = `2014-08-01 10:00` , freq = `W` ,  periods = 6 , tz = `Europe / Berlin` )    # set index sr.index = didx   # Print series print (sr)

Output:

We will now use Series.take () to retrieve the values ​​corresponding to the traversed positions.

# return items that match # index position passed sr.take (indices = [ 0 , 2 ])

Output:

As we can see in the output, Series.take () successfully returned elements matching the passed index positions of this series object.

Example # 2: Use Series.take () to extract some elements from a given series object based on the actual position of the elements in the object.

# import pandas as pd import pandas as pd   # Create series sr = pd.Series ([ 19.5 , 16.8 , None , 22.78 , None , 20.124 , None , 18.1002 , None ])   # Print series print (sr)

Output:

We will now use Series.take () to retrieve values ​​corresponding to the positions passed.

 

# return elements that match # index position passed sr.take (indices = [ 1 , 2 , 5 , 8 ])

Output:

As we can see in the output, Series.take () successfully returned elements matching the passed index positions of this series object.