A matplotlib/seaborn wrapper to create beautiful plots with predefined styles using pipelines
Project description
pltflow
What is pltflow
?
pltflow
is a wrapper for matplotlib/seaborn to create beautiful charts- It makes use of predifined styles to completely automate the chart creation process
- It also uses the concept of pipelines to create charts as if one is following a recipe
pltflow
is not intended for quick and beautiful plots.
You dont need to know anything about styling to make a pretty chart. But of course you can modify any parameter using matplotlib/seaborn arguments.
✅ Installation
pltflow
can be installed using pip.
pip install pltflow
📌 Requirements
- python 3.6 or above
- matplotlib 2.2 or above
- seaborn 0.9.0 or above
- pandas 1.0.0 or above
🔨 Usage
*pltflow
works with pandas dataframes as data source
- It uses pipeline to convey the 'recipe' of the chart
(
flow # from the pltflow package
.plot(df, primary="YrSold",secondary ="ppsqm", style = "vox") # plot the df, define variables and style
.set_ylabel("PRICE PER M2") # set the y label text
.set_xlabel("YEAR SOLD") # set the x label text
.set_title("BOSTON PRICE PER SQUARE METER") # set the title text
.set_subtitle("YEARS 2006 TO 2010 | FUNDA.COM") # set the subtitle text
.color_by("Neighborhood") # color the chart by the neighborhood (different categories)
.focus_on("CollgCr") # focus on a specific category (other will be grayed out)
.set_figsize(8,4) # set the figure size
.set_yticks(np.arange(1000, 1800, 200)) # set the spacing of the y axis labels
.set_xticks(np.arange(2006, 2011)) # set the spacing of the x axis labels
.show() # SHOW!!! the graph is ready!
)
Currently there are 4 predifined styles: base, vox, mkbhd, and innocent.
But more are coming soon!
🐜 Found a bug? Missing a specific feature?
Feel free to file a new issue 📫  with a respective title and description issue on the pltflow
repository: ismaelcv.
📘 License
pltflow
is released under the GNU Lesser General Public License (LGPL) license. All accompanying documentation and manual are released under the Creative Commons BY-SA 4.0 license.
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