Multiple Transforms in Python/v3

How to use multiple transforms (filter, group by, and aggregates) in Python with Plotly.

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In [1]:
import plotly

Filter and Group By¶

In [3]:
import plotly.offline as off

import pandas as pd


df = pd.read_csv("")

colors = ['blue', 'orange', 'green', 'red', 'purple']

opt = []
opts = []
for i in range(0, len(colors)):
    opt = dict(
        target = df['continent'][[i]].unique(), value = dict(marker = dict(color = colors[i]))

data = [dict(
  type = 'scatter',
  mode = 'markers',
  x = df['lifeExp'],
  y = df['gdpPercap'],
  text = df['continent'],
  hoverinfo = 'text',
  opacity = 0.8,
  marker = dict(
      size = df['pop'],
      sizemode = 'area',
      sizeref = 200000
  transforms = [
        type = 'filter',
        target = df['year'],
        orientation = '=',
        value = 2007
        type = 'groupby',
        groups = df['continent'],
        styles = opts

layout = dict(
    yaxis = dict(
        type = 'log'

off.iplot({'data': data, 'layout': layout}, validate=False)