DGPC | DGPC : DeGiro Performance Charts
kandi X-RAY | DGPC Summary
kandi X-RAY | DGPC Summary
DGPC is a small and simple utility that parses CSV-exports from DeGiro and creates portfolio performance charts, such as the following:. DGPC is not meant for professional usage and makes many assumptions, can't parse all CSV data (yet), and probably also makes a few mistakes and simplifications here and there. So use it at own risk, feel free to make a pull request to improve the tool. Stock, ETF, and currency data is queried using the investpy package, based on data from Investing.com.
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Top functions reviewed by kandi - BETA
- Dump data from deGiro account
- Parse a single row
- Parse the csv data
- Plot the deGiro performance chart
- Get stock data for given ISIN
- Determines the density of the given dates
- Return colour based on label
- Compute the weighted average of the reference data
- Store data in a csv file
- Convert currency to euro modifier
- Reads a csv file
- Parse arguments
DGPC Key Features
DGPC Examples and Code Snippets
Community Discussions
Trending Discussions on DGPC
QUESTION
I've recently started to work with XML and XSLT and I've encountered a problem that I'm having trouble solving.
I have a project in which I need to create an XSLT that works with 3 different objects in XML.
The objects are expositions.
Full XML (sorry it's not in English, it's quite big to translate and for the sake of keeping the elements name equal I'll keep it as the original version):
...ANSWER
Answered 2020-Dec-13 at 20:23EDIT:
The below may work for you.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install DGPC
You can use DGPC 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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