https://github.com/rhemon/waterfall

Data Visualization
https://github.com/rhemon/waterfall

Last synced: 23 days ago
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Data Visualization

• Host: GitHub
• URL: https://github.com/rhemon/waterfall
• Owner: rhemon
• Created: 2014-12-15T10:53:08.000Z (about 10 years ago)
• Default Branch: master
• Last Pushed: 2014-12-15T12:18:48.000Z (about 10 years ago)
• Last Synced: 2024-10-15T11:08:55.921Z (2 months ago)
• Language: Python
• Size: 273 KB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
Waterfall

==========

This module applies another way of Data Visualization - Find out about it in Wikipedia




To get access to it, download it and keep it in your project folder, and import it. 


```

from WaterfallChart import WaterfallA, WaterfallXY

```




There are altogether two ways to apply it and get the Waterfall Chart. 







One is by giving the amounts, up and down, from which it will form the chart. 




Example: 

```

data = {'x':['Product Revenue', 'Services Revenue', 'Fixed Costs', 'Variable Costs', 'Total'], 

        'y':[420,210,-170,-140], # You can either give at the end for total, but you don't have to, it will automatically do that

        'xLabel': None, # XLabel is optional

        'yLabel': None } # So is YLabel

chart = WaterfallA(data, title="Company Profit 2008", winTitle="Profit's Waterfall View")# If you don't want total, make sure len(y) == len(x) and give total=False, and title and winTitle both are optional

# chart.config_title("Title name") You can use to config the title, later on also

chart.display() # To display the chart

```









The other way, is by givving the plots. I am not sure but there might be a situation, where you have the plots, all you need is the 

chart. That is why you can use XY. 




Example:

```

data = {'x':['Product Revenue', 'Services Revenue', 'Fixed Costs', 'Variable Costs', 'Total'], 

        'y':[420,730,500,140], # You can either give at the end for total, but you don't have to, it will automatically do that

        'xLabel': None, # XLabel is optional

        'yLabel': 'Money(USD)' } # So is YLabel

chart = WaterfallXY(data)

chart.display()

```