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What is Pandas Series with Examples

Here you can understand what Pandas Series is.
Run the code here: https://repl.it/@VinitKhandelwal/pandas-series
import numpy as np
import pandas as pd

labels = ['a', 'b', 'c']
my_data = [10, 20, 30]
arr = np.array(my_data)
d = {'a':10, 'b':20, 'c':30}

print(labels)
print(my_data)
print(arr)
print(d)

print(pd.Series(data = my_data))
print(pd.Series(data = my_data, index = labels))
print(pd.Series(my_data, labels))
print(pd.Series(arr))
print(pd.Series(arr, labels))
print(pd.Series(d))
print(pd.Series(labels))
print(pd.Series(data = [sum, print, len]))
ser1 = pd.Series([1,2,3,4],['India', 'Pakistan', 'Nepal', 'Bhutan'])
print(ser1)
ser2 = pd.Series([1,2,5,4],['India', 'Pakistan', 'Sri Lanka', 'Bhutan'])
print(ser2)
print(ser1['Bhutan'])
ser3 = pd.Series(labels)
print(ser3)
print(ser3[1])
print(ser1+ser2)

OUTPUT

['a', 'b', 'c']
[10, 20, 30]
[10 20 30]
{'a': 10, 'b': 20, 'c': 30}
0    10
1    20
2    30
dtype: int64
a    10
b    20
c    30
dtype: int64
a    10
b    20
c    30
dtype: int64
0    10
1    20
2    30
dtype: int64
a    10
b    20
c    30
dtype: int64
a    10
b    20
c    30
dtype: int64
0    a
1    b
2    c
dtype: object
0      <built-in function sum>
1    <built-in function print>
2      <built-in function len>
dtype: object
India       1
Pakistan    2
Nepal       3
Bhutan      4
dtype: int64
India        1
Pakistan     2
Sri Lanka    5
Bhutan       4
dtype: int64
4
0    a
1    b
2    c
dtype: object
b
Bhutan       8.0
India        2.0
Nepal        NaN
Pakistan     4.0
Sri Lanka    NaN
dtype: float64

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