stonky | command line dashboard for monitoring stocks | Dashboard library
kandi X-RAY | stonky Summary
kandi X-RAY | stonky Summary
stonky is a simple command line dashboard for monitoring stocks. It pulls live data from Yahoo! Finance so anything it can support, e.g. international exchanges, cryptocurrencies, etc., stonky can too.
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Top functions reviewed by kandi - BETA
- The main entrypoint
- Get forex rates
- Fetch latest quote objects
- Prints a crash report
- Convert stock balances
- Convert from base_currency to market price
- Get the stock information for the given ticket
- Draw the stock balance
- Draws the screen
- Make a GET request
- Main entry point
- Reset the raw values
- Refresh the values
- Returns a list of watchlist
- Try to sort stocks
- Format the watchlist
- Format table
- Return a table of stock prices
- Return profit and loss
- Returns stock positions
stonky Key Features
stonky Examples and Code Snippets
def butnew(self,text,number,_class,i,j):
sizeWidth = int(self.master.winfo_screenwidth()/81)
sizeHeight = int(self.master.winfo_screenheight()/81)
pixel = tk.PhotoImage(width=sizeWidth, height=sizeWidth)
btn = tk.Button(sel
Community Discussions
Trending Discussions on stonky
QUESTION
I've been working with Tkinter to create new windows through button clicks. Recently I've been trying to size the buttons in order to fit the screen. I tried using the trick that uses a 1 by a 1-pixel image so I can size the buttons but pixels. I've noticed whenever I try to put the image on the button no longer works. If I comment out the image parameter the button starts to work. I have no clue why. Heres the code:
...ANSWER
Answered 2020-May-29 at 01:56It is because the image is garbage collected as it is created inside a function. You need to keep a reference to the image:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install stonky
You can use stonky like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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