how to Access the elements of a Series in python – pandas

In This tutorial we will learn how to access the elements of a series in python pandas. We will be learning how to

  • Accessing Data from Series with Position in python pandas
  • Retrieve Data Using Label (index)  in python pandas

Accessing data from series with position:

Accessing or retrieving the first element:

Retrieve the first element. As we already know, the counting starts from zero for the array, which means the first element is stored at zeroth position and so on.

# create a series
import pandas as pd
import numpy as np
data = np.array(['a','b','c','d','e','f'])
s = pd.Series(data)


#retrieve the first element
print s[0]

output:

a

 

Access or Retrieve the first three elements in the Series:

# create a series
import pandas as pd
import numpy as np
data = np.array(['a','b','c','d','e','f'])
s = pd.Series(data)


# retrieve first three elements
print s[:3]

output:

0    a
1    b
2    c
dtype: object

 

Access or Retrieve the last three elements in the Series:

# create a series
import pandas as pd
import numpy as np
data = np.array(['a','b','c','d','e','f'])
s = pd.Series(data)


# retrieve last three elements
print s[-3:]

output:

3   d
4   e
5   f
dtype: object

 

 

Accessing data from series with Labels or index:

A Series is like a fixed-size dictionary in that you can get and set values by index label.

Retrieve a single element using index label:

# create a series
import pandas as pd
import numpy as np
data = np.array(['a','b','c','d','e','f'])
s = pd.Series(data,index=[100,101,102,103,104,105])


print s[102]

output:

c

 

Retrieve multiple elements using index labels:

# create a series
import pandas as pd
import numpy as np
data = np.array(['a','b','c','d','e','f'])
s = pd.Series(data,index=[100,101,102,103,104,105])


# retrieve multiple elements with labels or index
print s[[102,103,104]]

output:

102    c
103    d
104    e

dtype: object

Note: If label or index is not mentioned properly an exception will be raised.

 

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