dashboards package#

Submodules#

Dashboard to plot a stock of your choice, showing its candlestick plot.

dashboards.plot_stocks.update_candlestick(value: str) → Figure[source]#

Update the candlestick plot.

Parameters:: value (str) – The name of the stock you want to display the candlestick plot.
Returns:: A Plotly figure representing the candlestick plot.
Return type:: plotly.graph_objs.Figure

Example

To update the candlestick plot for a stock with the symbol ‘AAPL’, you can call the function like this:

>>> update_candlestick("AAPL")

dashboards.plot_stocks.update_line_plot(value: str) → Figure[source]#

Update the line plot.

Parameters:: value (str) – The name of the stock you want to display the candlestick plot.
Returns:: A Plotly figure representing the line plot.
Return type:: plotly.graph_objs.Figure

Example

To update the line plot for a stock with the symbol ‘AAPL’, you can call the function like this:

>>> update_line_plot("AAPL")

Helper functions common to all dashboards.

dashboards.utils.matplotlib_init_for_dash() → None[source]#

Run this before using Matplotlib with Dash.

It fixes a crash:: “Starting a Matplotlib GUI outside of the main thread will likely fail”
See this:: https://stackoverflow.com/questions/69924881/userwarning-starting-a-matplotlib-gui-outside-of-the-main-thread-will-likely-fa

dashboards.utils.plt_dash() → str[source]#

Helper function to plot Matplotlib graphs in Dash dashboards.

Example

>>> plt.scatter([1, 2, 3], [2, 4, 6])  # your plot
>>> plt.title("Title of the plot")  # you can add anything on it
>>> data = plt_dash()

And then, your Dash function should return the data variable.