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Plotly

Plotly is a powerful data visualization library that allows you to create interactive charts and graphs. The Plotly driver in Naas enables you to create various types of plots using Plotly's features.

Stock Chart​

The stock chart allows you to create stock charts from a DataFrame. You can use the Yahoo driver to retrieve the stock data and pass it to the stock chart function. The DataFrame should have the following columns: Date, Open, High, Low, Close, Adj Close, Volume, and Company.

Basic​

import naas_drivers

df = naas_drivers.yahoo.stock("TSLA")
chart = naas_drivers.plot.stock(df)

This will generate a basic stock chart for the given stock symbol.

Chart Type​

You can specify the chart type by setting the kind parameter. The available options are linechart, linechart_open, linechart_close, or candlestick.

kind = "linechart"
naas_drivers.plot.stock("TSLA", kind=kind)

This will generate a stock chart of the specified type.

Filter​

You can enable a filter on the stock chart by setting the filter parameter to True. You can also customize the filter title using the filter_title parameter.

naas_drivers.plot.stock("TSLA", filter=True, filter_title="Stock")

This will add a filter to the stock chart.

Line Chart​

The line chart allows you to create line charts from a DataFrame.

Basic​

import naas_drivers

df = naas_drivers.yahoo.stock("TSLA")
chart = naas_drivers.plot.linechart(df, label_x="Date", label_y=["Close"])

This will generate a basic line chart using the "Date" column as the x-axis and the "Close" column as the y-axis.

Candlestick Chart​

The candlestick chart allows you to create candlestick charts from a DataFrame.

Basic​

import naas_drivers

df = naas_drivers.yahoo.stock("TSLA")
chart = naas_drivers.plot.candlestick(df, 
                label_x="Date", 
                label_open="Open", 
                label_high="High",
                label_low="Low",
                label_close="Close"
                )

This will generate a basic candlestick chart using the specified columns for the x-axis and the open, high, low, and close values.

Export​

You can export the generated chart as an image or HTML file using the export() function.

Simple​

chart = naas_drivers.plot.stock("TSLA")
filename = "Tesla.png"  # can be png, jpeg, or html
naas_drivers.plot.export(chart, "Tesla.png", css=None)

This will export the chart as a PNG image with the specified filename.

Custom CSS​

chart = naas_drivers.plot.stock("TSLA")
filename = "Tesla.png"  # can be png or html
css = ".custom_css {color: white}"
naas_drivers.plot.export(chart, "Tesla.png", css=css)

This will export the chart as a PNG image with custom CSS applied.

Official Documentation​

For more information on using Plotly, you can refer to the official Plotly documentation:

Plotly Python Getting Started