Generate PDF reports from spreadsheet data

• Pandas

  398 42,039 10.0 Python

  Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  

Pandas is a widely used Python data analysis library, commonly used by data scientists. It provides a number of useful functions and objects for working with series and tabular data, most notably the DataFrame object. NumPy provides mathematical functions for use with arrays and matrices, and is often used together with pandas. Finally, openpyxl is the library pandas uses for reading spreadsheet files – we won't use this library directly, but we need to include it in our imports so that our repl installs it.

• NumPy

  272 26,413 10.0 Python

  The fundamental package for scientific computing with Python.

  

Pandas is a widely used Python data analysis library, commonly used by data scientists. It provides a number of useful functions and objects for working with series and tabular data, most notably the DataFrame object. NumPy provides mathematical functions for use with arrays and matrices, and is often used together with pandas. Finally, openpyxl is the library pandas uses for reading spreadsheet files – we won't use this library directly, but we need to include it in our imports so that our repl installs it.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• cheatsheets

  126 7,245 7.0 Python

  Official Matplotlib cheat sheets (by matplotlib)

  

Now that we've got our data ready, we need to put it into some nice visualizations. Pandas includes methods for generating charts and graphs from DataFrames and other data objects. These methods are thin wrappers over Matplotlib, Python's most widely used data visualization library.

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