In [4]:

    

from IPython.display import YouTubeVideo
YouTubeVideo('oHg5SJYRHA0')


    

    
Out[4]:





        
        

In [29]:

    

%%HTML
<h1>Hello World</h1>
<pre>
int main() {
    return 0;
}
</pre>


    

    





Hello World
int main() {
    return 0;
}

In [30]:

    

!pip freeze


    

    




appnope==0.1.0
bleach==2.0.0
certifi==2017.7.27.1
chardet==3.0.4
decorator==4.1.2
entrypoints==0.2.3
html5lib==0.999999999
idna==2.6
ipykernel==4.6.1
ipython==6.2.0
ipython-genutils==0.2.0
ipywidgets==7.0.1
jedi==0.11.0
Jinja2==2.9.6
jsonschema==2.6.0
jupyter==1.0.0
jupyter-client==5.1.0
jupyter-console==5.2.0
jupyter-core==4.3.0
MarkupSafe==1.0
mistune==0.7.4
nbconvert==5.3.1
nbformat==4.4.0
notebook==5.1.0
numpy==1.13.2
pandas==0.20.3
pandocfilters==1.4.2
parso==0.1.0
pexpect==4.2.1
pickleshare==0.7.4
plotly==2.0.15
prompt-toolkit==1.0.15
ptyprocess==0.5.2
Pygments==2.2.0
python-dateutil==2.6.1
pytz==2017.2
pyzmq==16.0.2
qtconsole==4.3.1
requests==2.18.4
simplegeneric==0.8.1
six==1.11.0
terminado==0.6
testpath==0.3.1
tornado==4.5.2
traitlets==4.3.2
urllib3==1.22
wcwidth==0.1.7
webencodings==0.5.1
widgetsnbextension==3.0.3

In [13]:

    

import plotly
import pandas as pd


df = pd.read_csv('water.csv')
del df['Remarks']
df[df['Year']>2010]


    

    
Out[13]:







  

    

      

      
Year
      
quantity
      
expenditure
    
  
  

    

      
14
      
2011
      
818
      
3344
    
    

      
15
      
2012
      
709
      
3539
    
    

      
16
      
2013
      
612
      
3743
    
    

      
17
      
2014
      
724
      
3959
    
    

      
18
      
2015
      
766
      
4223
    
  

In [22]:

    

import plotly.plotly as py
import plotly.graph_objs as go

quantities = go.Scatter(
    x = df['Year'],
    y = df['quantity'],
    name = 'quantity'
)

expenditures = go.Scatter(
    x = df['Year'],
    y = df['expenditure'],
    name = 'expenditure'
)

data = [quantities, expenditures]
plotly.tools.set_credentials_file(username='g0vhkio', api_key='EExyKfq9fHDaO8Or7NXL')

py.iplot(data, filename='basic-line', title='Water')


    

    




High five! You successfully sent some data to your account on plotly. View your plot in your browser at https://plot.ly/~g0vhkio/0 or inside your plot.ly account where it is named 'basic-line'






    
Out[22]:

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