Plot template
This repo contains different type of plots in python.
What are the choices for ploting data?
- Seaborn
- pandas
- Matplotlib
- Paletteable
Seaborn
Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.
Seaborn provides a very high-level interface. It's versy hard and imposible in some cases to customize the plot, for instance it's not easily possible to plot stack plot.
Color paletter:
I use Paletteable for coloring:
https://jiffyclub.github.io/palettable/colorbrewer/sequential/
Pandas
Pandas provides basics to easily create decent looking plots. For instance, to plot stack or bra plot we can draw it in just few lines:
# Plot type
matplotlib.style.use('ggplot')
# Loading input DataFrame
input_data = pd.read_csv('../data/01-test.csv', index_col='name')
#Bar plo
input_data.plot.bar()
#Stack plot
input_data.plot.bar(stacked=True)But again there is not enough control on the labels and places bars.
Therefore, I prefer using matplotlib.
Matplotlib
Matplotlib provides a fine control on all the options. At the begining it's hard to start with matplotlib but after a while it becomes very handy. (Remember learning curve!!).
That's the reason which I have provided this repository to include most of the plots which I needed during my Graduate studies.