Plotly
Create chart easily with plotly
Create stock chart from Dataframe
If you use yahoo driver you can pass it without option it's made to work together
Give a data frame with theses columns
Date | Open | High | Low | Close | Adj Close | Volume | Company |
2014-04-14 | 133.95 | 145.95 | 133.95 | 143.95 | 114.599 | 13650000 | TSLA |
You can give Moving average with column start with MA (Max 2)
MA5 | MA20 |
You can plot prediction coming from prediction driver with theses column
ARIMA | SVR | LINEAR | COMPOUND |
| | | |
all this data can be generated for you by the Yahoo driver
df = naas_drivers.yahoo.stock("TSLA")
chart = naas_drivers.plot.stock(df)
kind = "linechart"
# can be linechart, linechart_open, linechart_close or candlestick
naas_drivers.plot.stock("TSLA", kind=kind)
naas_drivers.plot.stock("TSLA", filter=True, filter_title="Stock")
If you use yahoo driver you can pass it without option it's made to work together
df = naas_drivers.yahoo.stock("TSLA")
chart = naas_drivers.plot.linechart(df, label_x="Date", label_y=["Close"])
If you use yahoo driver you can pass it without option it's made to work together
df = naas_drivers.yahoo.stock("TSLA")
chart = naas_drivers.plot.candlestick(df,
label_x="Date",
label_open="Open",
label_high="Hight"
label_low="Low",
label_close="Close"
)
SCREENSHOT_API: this should be set as env vars. in local naasthis should connect to this docker machine :
chart = naas_drivers.plot.stock("TSLA")
filename = "Tesla.png" # can be png, jpeg or html
naas_drivers.plot.export(chart, "Tesla.png", css=None)
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)