d3blocks

d3blocks_violin.py

# Import library
from d3blocks import D3Blocks

# Initialize
d3 = D3Blocks()

# import example
df = d3.import_example('cancer')

# Tooltip
tooltip=df['labels'].values + ' <br /> Survival: ' + df['survival_months'].astype(str).values

# Make the plot
d3.violin(x=df['labels'].values, # class labels on the x axis
          y=df['age'].values,    # Age
          tooltip=tooltip,       # Tooltip for hovering
          bins=50,               # Bins used for the histogram
          size=df['survival_months'].values/10, # Dotsize
          x_order=['acc','kich', 'brca','lgg','blca','coad','ov'], # Keep only these classes and plot in this order.
          figsize=[None, None],                                    # Figure size is automatically determined.
          filepath='violine_demo.html')