﻿ Pandas: Subtraction of two timestamps of same time zone or different time zone - w3resource

# Pandas: Subtraction of two timestamps of same time zone or different time zone

## Pandas Time Series: Exercise-20 with Solution

Write a Pandas program to subtract two timestamps of same time zone or different time zone.

Sample Solution:

Python Code :

``````import pandas as pd
print("Subtract two timestamps of same time zone:")
date1 = pd.Timestamp('2019-03-01 12:00', tz='US/Eastern')
date2 = pd.Timestamp('2019-04-01 07:00', tz='US/Eastern')
print("Difference: ", (date2-date1))
print("\nSubtract two timestamps of different time zone:")
date1 = pd.Timestamp('2019-03-01 12:00', tz='US/Eastern')
date2 = pd.Timestamp('2019-03-01 07:00', tz='US/Pacific')
# Remove the time zone and do the subtraction
print("Difference: ", (date1.tz_localize(None) - date2.tz_localize(None)))
``````

Sample Output:

```Subtract two timestamps of same time zone:
Difference:  30 days 18:00:00

Subtract two timestamps of different time zone:
Difference:  0 days 05:00:00
```

Python Code Editor:

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## Python: Tips of the Day

Merging two dicts in Python 3.5+ with a single expression

Example:

```# How to merge two dictionaries
# in Python 3.5+

x = {'p': 1, 'q': 3}
y = {'q': 5, 'r': 8}

z = {**x, **y}

z
{'r': 4, 'p': 1, 'q': 3}

z = dict(x, **y)
print(z)
```

Output:

```{'p': 1, 'q': 5, 'r': 8}
```