Creating a pandas.DataFrame object

Now that we are done with handling date and time, let's move on to handling time series data. The pandas library has a pandas.DataFrame class, which is useful for handling and manipulating such data. This recipe starts by creating these objects.

How to do it...

Execute the following steps for this recipe:

1. Import the necessary modules from the Python standard library:

>>> from datetime import datetime
>>> import pandas

2. Create a sample time-series data as a list of dictionary objects. Assign it to time_series data:

>>> time_series_data = \
[{'date': datetime.datetime(2019, 11, 13, 9, 0),   
  'open': 71.8075, 'high': 71.845,  'low': 71.7775, 
  'close': 71.7925, 'volume': 219512},
{'date': datetime.datetime(2019, 11, 13, 9, 15),  
 'open': 71.7925, 'high': 71.8,    'low': 71.78,   
 'close': 71.7925, 'volume&apos...