Python for Data Science

Chapter 7 - Collaborative Analytics with Plotly

Segment 1 - Creating basic charts

Setting up to use Plotly within Jupyter

pip install --default-timeout=1000 Plotly

Defaulting to user installation because normal site-packages is not writeable
Requirement already satisfied: Plotly in /home/ericwei/.local/lib/python3.7/site-packages (4.14.3)
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Note: you may need to restart the kernel to use updated packages.

pip install --default-timeout=1000 cufflinks

Defaulting to user installation because normal site-packages is not writeable
Requirement already satisfied: cufflinks in /home/ericwei/.local/lib/python3.7/site-packages (0.17.3)
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Note: you may need to restart the kernel to use updated packages.

pip install --default-timeout=1000 chart_studio

Defaulting to user installation because normal site-packages is not writeable
Collecting chart_studio
  Downloading chart_studio-1.1.0-py3-none-any.whl (64 kB)
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Installing collected packages: chart-studio
Successfully installed chart-studio-1.1.0
Note: you may need to restart the kernel to use updated packages.

import numpy as np
import pandas as pd

import cufflinks as cf

import chart_studio.plotly as py
import chart_studio.tools as tls
import plotly.graph_objs as go

tls.set_credentials_file(username='xxxxx', api_key='xxxxxxxxxx')

Creating line charts

A very basic line chart

a = np.linspace(start=0, stop=36, num=36)

np.random.seed(25)

b = np.random.uniform(low=0.0, high=1.0, size=36)

trace = go.Scatter(x=a, y=b)

data = [trace]

py.iplot(data, filename="basic-line-chart")

A line chart from a pandas dataframe

address = '~/Data/mtcars.csv'

cars = pd.read_csv(address)
cars.columns = ['car_names','mpg','cyl','disp','hp','drat','wt','qsec','vs','am','gear','carb']

df = cars[['cyl','wt','mpg']]

layout = dict(title='Chart from Pandas DataFrame', xaxis = dict(title='x-axis'), yaxis = dict(title='y-axis'))

df.iplot(filename='cf-simple-line-chart', layout=layout)

Creating bar charts

data = [go.Bar(x=[1,2,3,4,5,6,7,8,9,10], y=[1,2,3,4,0.5,4,3,2,1])]
print(data)

[Bar({
    'x': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 'y': [1, 2, 3, 4, 0.5, 4, 3, 2, 1]
})]

layoyt = dict(titile='Simple Bar Chart', 
              xaxis=dict(titile='x-axis'),yaxis=dict(title='y-axis'))
py.iplot(data, filename='basic-bar-chart', layout=layout)

Creating pie charts

fig = {'data':[{'labels':['bicycle','motorcycle','car','van','stroller'],
               'values':[1,2,3,4,0.5],
               'type':'pie'}],
      'layout':{'title':'Simple Pie Chart'}}
py.iplot(fig)