Pandas Series is a one-dimensional labeled array capable of holding data of any type (integer, string, float, python objects, etc.). Labels need not be unique but must be a hashable type.
Let’s discuss different ways to access the elements of given Pandas Series.
First create a Pandas Series.
# importing pandas module import pandas as pd # making data frame ser = pd.Series(df['Name'])ser.head(10)# or simply df['Name'].head(10) |
Output:
Example #1: Get the first element of series
# importing pandas module import pandas as pd # making data frame df['Name'].head(10) # get the first elementser[0] |
Output:
Example #2: Access multiple elements by providing position of item
# importing pandas module import pandas as pd # making data frame df['Name'].head(10) # get multiple elements at given indexser[[0, 3, 6, 9]] |
Output:
Example #3: Access first 5 elements in Series
# importing pandas module import pandas as pd # making data frame df['Name'].head(10) # get first five namesser[:5] |
Output:
Example #4: Get last 10 elements in Series
# importing pandas module import pandas as pd # making data frame df['Name'].head(10) # get last 10 namesser[-10:] |
Output:
Example #5: Access multiple elements by providing label of index
# importing pandas module import pandas as pd import numpy as np ser = pd.Series(np.arange(3, 15), index = list("abcdefghijkl")) ser[['a', 'd', 'g', 'l']] |
Output:
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