﻿ Pandas: Create a time series using three months frequency - w3resource

# Pandas: Create a time series using three months frequency

## Pandas Time Series: Exercise-10 with Solution

Write a Pandas program to create a time series using three months frequency.

Sample Solution:

Python Code :

``````import pandas as pd
time_series = pd.date_range('1/1/2021', periods = 36, freq='3M')
print("Time series using three months frequency:")
print(time_series)
``````

Sample Output:

```Time series using three months frequency:
DatetimeIndex(['2021-01-31', '2021-04-30', '2021-07-31', '2021-10-31',
'2022-01-31', '2022-04-30', '2022-07-31', '2022-10-31',
'2023-01-31', '2023-04-30', '2023-07-31', '2023-10-31',
'2024-01-31', '2024-04-30', '2024-07-31', '2024-10-31',
'2025-01-31', '2025-04-30', '2025-07-31', '2025-10-31',
'2026-01-31', '2026-04-30', '2026-07-31', '2026-10-31',
'2027-01-31', '2027-04-30', '2027-07-31', '2027-10-31',
'2028-01-31', '2028-04-30', '2028-07-31', '2028-10-31',
'2029-01-31', '2029-04-30', '2029-07-31', '2029-10-31'],
dtype='datetime64[ns]', freq='3M')
```

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}
```