A wrapper library for the novem.no data visualisation platform. Create charts, documents, e-mails and dashboards through one simple API.

NB: novem is currently in closed alpha, if you want to try it out please reach out to hello@novem.no

Create a linechart from a dataframe using pandas data reader

from pandas_datareader import data from novem import Plot line = Plot("aapl_price_hist", type="line", name="Apple price history") # Only get the adjusted close. aapl = data.DataReader("AAPL", start="2015-1-1", end="2021-12-31", data_source="yahoo")["Adj Close"] # send data to the plot aapl.pipe(line) # url to view plot print(line.url)

To get started with novem you will have to register an account. Please reach out to us!

Once you have a username and password you can setup your environment using:

 python -m novem --init

In addition to invoking the novem module as shown above, the novem package also includes an extensive command-line interface (cli). Check out CLI.md in this repository or novem.io for more details.

Novem represents plots as a Plot class that can be imported from the main novem package from novem import Plot.

The Plot class takes a single mandatory positional argument, the name of the plot.

• If the plot name is new, the instantiation of the class will create the plot.
• If the plot name already exist, then the new object will operate on the existing plot.

In addition to the name, there are two broad categories of options for a plot: data and config.

• The data contains the actual information to visualise (usually in the form of numeric csv)
• Config, which contains information about the visual such as:
  • Type (bar, line, donut, map etc)
  • Titles/captions/names/colors/legends/axis etc

There are two ways to interact with the plots, one can either supply all the necessary options as named arguments when creating the plot, or use the property accessors to modify them one by one (this is more helpful when working with the plot interactively). Below is an example of both approaches.

from novem import Plot # everything in the constructor barchart = Plot(<name>, \ type="bar", \ title="barchart title", \ caption = "caption" ) # property approach barchart = Plot("plot_name") barchart.type = "bar" barchart.title = "barchart title" barchart.caption = "caption"

In addition to setting individual properties, the Plot object is also callable. This means that the resulting plot can be used as a function, either by being provided data as an argument, or used as part of a pipe chain.

from novem import Plot import pandas as pd import numpy as np # construct some random sample data df = pd.DataFrame(np.random.randn(100, 4), columns=list("ABCD")).cumsum() line = Plot("new_line", type="line") # alternative one, setting data explicitly to a csv string line.data = df.to_csv() # or let the plot invoke the to_csv line.data = df # alternative two, calling Plot with a csv string line(df.to_csv()) # alternative three calling the Plot with an object that has a to_csv function line(df) # or df.pipe(line)

NB: All novem plot operations are live. This means that as soon as you write to or modify any aspects of the plot object, those changes are reflected on the novem server and anyone watching the plot in real time.

The novem python library and platform is under active development, contributions or issues are most welcome.

For guidelines on how to contribute, please check out the CONTRIBUTING.md file in this repository.

This python library is licensed under the MIT license, see the LICENSE file for details.