Writing time series data to MongoDB
MongoDB is a document database system that stores data in BSON format. When you query data from MongoDB, the data will be represented in JSON format. BSON is similar to JSON; it is the binary encoding of JSON. Unlike JSON though, it is not in a human-readable format. JSON is great for transmitting data and is system-agnostic. BSON is designed for storing data and is associated with MongoDB.
In this recipe, you will explore writing a pandas DataFrame to MongoDB.
Getting ready
In the Reading data from a document database recipe in Chapter 3, Reading Time Series Data from Databases, we installed pymongo. For this recipe, you will be using that same library again.
To install using Conda, run the following:
$ conda install -c anaconda pymongo -y
To install using pip, run the following:
$ python -m pip install pymongo
The file is provided in the GitHub repository for this book, which you can find here: https://github.com/PacktPublishing...
