﻿ Pandas: Create a period index represent all monthly boundaries of a given year - w3resource

# Pandas: Create a period index represent all monthly boundaries of a given year

## Pandas Time Series: Exercise-28 with Solution

Write a Pandas program to create a period index represent all monthly boundaries of a given year. Also print start and end time for each period object in the said index.

Sample Solution:

Python Code :

``````import pandas as pd
import datetime
from datetime import datetime, date
sdt = datetime(2020, 1, 1)
edt = datetime(2020, 12, 31)
dateset = pd.period_range(sdt, edt, freq='M')
print("All monthly boundaries of a given year:")
print(dateset)
print("\nStart and end time for each period object in the said index:")
for d in dateset:
print ("{0} {1}".format(d.start_time, d.end_time))
``````

Sample Output:

```All monthly boundaries of a given year:
PeriodIndex(['2020-01', '2020-02', '2020-03', '2020-04', '2020-05', '2020-06',
'2020-07', '2020-08', '2020-09', '2020-10', '2020-11', '2020-12'],
dtype='period[M]', freq='M')

Start and end time for each period object in the said index:
2020-01-01 00:00:00 2020-01-31 23:59:59.999999999
2020-02-01 00:00:00 2020-02-29 23:59:59.999999999
2020-03-01 00:00:00 2020-03-31 23:59:59.999999999
2020-04-01 00:00:00 2020-04-30 23:59:59.999999999
2020-05-01 00:00:00 2020-05-31 23:59:59.999999999
2020-06-01 00:00:00 2020-06-30 23:59:59.999999999
2020-07-01 00:00:00 2020-07-31 23:59:59.999999999
2020-08-01 00:00:00 2020-08-31 23:59:59.999999999
2020-09-01 00:00:00 2020-09-30 23:59:59.999999999
2020-10-01 00:00:00 2020-10-31 23:59:59.999999999
2020-11-01 00:00:00 2020-11-30 23:59:59.999999999
2020-12-01 00:00:00 2020-12-31 23:59:59.999999999
```

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}
```