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A dynamic matplotlib bar chart with widgets to control the displayed data

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dynamicbarchart's Introduction

A simple Dynamic chart, representing my effort of switching from Excel presentation to Python.

Excel chart is a lot easier and faster to set up, but you can't control how the chart look as much as Python, and you also don't have buttons work as good as Python's widgets (you can still add Buttons, Sliders... in Excel, but it's slower and won't give you full control).

I'm using matplotlib widgets here. It take a few days to understand how they work, and how to set them up properly. The result is acceptable, still not work 100% as how I want it to work. However, like I said, you have full control over it, so you can improve it as much as you want.

I'm put this one up here as a template so I can reuse it later with other data as well.

This example include the list of "disrupted" stocks. The list is a drafted version, and until this day has changed a lot.

Disclaimer

This is not an investment recommendation. I bear no responsibility for your profits or losses. I am not in long (or short) position of any of the stocks in the example as of June 2019. However, I may benefits from the fall in price of those stocks.

License

Copyright 2019

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

dynamicbarchart's People

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