﻿ Pandas Data Series: Compare the elements of the two Pandas Series - w3resource

# Pandas Data Series: Compare the elements of the two Pandas Series

## Pandas: Data Series Exercise-4 with Solution

Write a Pandas program to compare the elements of the two Pandas Series.

Sample Series: [2, 4, 6, 8, 10], [1, 3, 5, 7, 10]

Sample Solution:

Python Code :

``````import pandas as pd
ds1 = pd.Series([2, 4, 6, 8, 10])
ds2 = pd.Series([1, 3, 5, 7, 10])
print("Series1:")
print(ds1)
print("Series2:")
print(ds2)
print("Compare the elements of the said Series:")
print("Equals:")
print(ds1 == ds2)
print("Greater than:")
print(ds1 > ds2)
print("Less than:")
print(ds1 < ds2)
``````

Sample Output:

```Series1:
0     2
1     4
2     6
3     8
4    10
dtype: int64
Series2:
0     1
1     3
2     5
3     7
4    10
dtype: int64
Compare the elements of the said Series:
Equals:
0    False
1    False
2    False
3    False
4     True
dtype: bool
Greater than:
0     True
1     True
2     True
3     True
4    False
dtype: bool
Less than:
0    False
1    False
2    False
3    False
4    False
dtype: bool
```

Python Code Editor:

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## Python: Tips of the Day

Function argument unpacking in Python.

Example:

```def tips_func(x, y, z):
print(x, y, z)

tuple_val = (2, 0, 2)
dict_val = {'x': 3, 'y': 2, 'z': 1}
tips_func(*tuple_val)
tips_func(**dict_val)
```

Output:

```2 0 2
3 2 1
```