Q - 1
Create an Empty Series using Pandas.
import pandas as pd
S=pd.Series()
print(S)
Output:
Series([], dtype: float64)
Q - 2
Create a series using List.
import pandas as pd
L=[5,8,10,15,20]
S=pd.Series(L)
print(S)
Output:
0 5
1 8
2 10
3 15
4 20
dtype: int64
Q - 3
Create a series using two different List.
import pandas as pd
Months=['Jan','Feb','Mar','Apr','May']
Days=[31,28,31,30,31]
S=pd.Series(Days,Months)
print(S)
Output:
Jan 31
Feb 28
Mar 31
Apr 30
May 31
dtype: int64
Q - 4
Create a series using range() method.
import pandas as pd
I=list(range(1,6))
D=list(range(2,11,2))
S=pd.Series(D,I)
print(S)
1 2
2 4
3 6
4 8
5 10
dtype: int64
Q - 5
Create a Series using range() and for loop.
import pandas as pd
I=[x for x in range(1,6)]
D=[x for x in range(3,16,3)]
S=pd.Series(D,I)
print(S)
Output:
1 3
2 6
3 9
4 12
5 15
dtype: int64
Q - 6
Handling floating point values for generating a Series.
import pandas as pd
I=[x for x in range(1,6)]
D=[2,5,8,4,9.6]
S=pd.Series(D,I)
print(S)
Output:
1 2.0
2 5.0
3 8.0
4 4.0
5 9.6
dtype: float64
Q - 7
Creating a Series using missing values (NaN)
import pandas as pd
import numpy as np
L=[2,3,5,7,8]
S=pd.Series([8,7.5,4.9,np.NaN,9])
print(S)
Output:
0 8.0
1 7.5
2 4.9
3 NaN
4 9.0
dtype: float64
Q - 8
Creating a Series and modify the index values.
import pandas as pd
S=pd.Series([31,28,31,30,31])
print(S)
S.index=['Jan','Feb','Mar','Apr','May']
print(S)
Output:
0 31
1 28
2 31
3 30
4 31
dtype: int64
Jan 31
Feb 28
Mar 31
Apr 30
May 31
dtype: int64
Q - 9
Creating a Series and access first and third element
import pandas as pd
D=[10,30,50,80,90]
S=pd.Series(D)
print(S)
print("First Element\n",S[0])
print("Third Element\n",S[2])
Output:
0 10
1 30
2 50
3 80
4 90
dtype: int64
First Element
10
Third Element
50
Q - 10
Creating a Series of 5 Elements and print complete Series, 2nd Element, and First 3 Element
import pandas as pd
D=[10,30,50,80,90]
S=pd.Series(D)
print(S)
print("Second Element\n",S[1])
print("First Three Element\n",S[0:3])
print("First Three Element\n",S[:3])
Output:
0 10
1 30
2 50
3 80
4 90
dtype: int64
Second Element
30
First Three Element
0 10
1 30
2 50
dtype: int64
First Three Element
0 10
1 30
2 50
3 80
4 90
dtype: int64
Q - 11
Creating a Series of 5 Elements and perform slicing on Series
import pandas as pd
D=[10,20,30,40,50]
I=['a','b','c','d','e']
S=pd.Series(D,I)
print(S)
print(S['a'])
print(S[0:3])
print(S[-3:])
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