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We also have a quick-reference cheatsheet (new!) to help you get started!

Basic Filled Line Plot

```python deletable=true editable=true import plotly.plotly as py import pandas as pd

The datasets' url. Thanks Jennifer Bryan!

url_csv = 'http://www.stat.ubc.ca/~jenny/notOcto/STAT545A/examples/gapminder/data/gapminderDataFiveYear.txt'

df = pd.read_csv(url_csv, sep='\t') df.head()

countries = ['China', 'India', 'United States', 'Bangladesh', 'South Africa'] fill_colors = ['#66c2a5', '#fc8d62', '#8da0cb', '#e78ac3', '#a6d854'] gf = df.groupby('country')

data = []

for country, fill_color in zip(countries[::-1], fill_colors): group = gf.get_group(country) years = group['year'].tolist() length = len(years) country_coords = [country] * length pop = group['pop'].tolist() zeros = [0] * length

data.append(dict(
    type='scatter3d',
    mode='lines',
    x=years + years[::-1] + [years[0]],  # year loop: in incr. order then in decr. order then years[0]
    y=country_coords * 2 + [country_coords[0]],
    z=pop + zeros + [pop[0]],
    name='',
    surfaceaxis=1, # add a surface axis ('1' refers to axes[1] i.e. the y-axis)
    surfacecolor=fill_color,
    line=dict(
        color='black',
        width=4
    ),
))

layout = dict( title='Population from 1957 to 2007 [Gapminder]', showlegend=False, scene=dict( xaxis=dict(title=''), yaxis=dict(title=''), zaxis=dict(title=''), camera=dict( eye=dict(x=-1.7, y=-1.7, z=0.5) ) ) )

fig = dict(data=data, layout=layout)

IPython notebook

py.iplot(fig, filename='filled-3d-lines')

py.iplot(fig, filename='filled-3d-lines') 

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#### Reference
<!-- #endregion -->

<!-- #region {"deletable": true, "editable": true} -->
See https://plot.ly/python/reference/ for more information!
<!-- #endregion -->

```python deletable=true editable=true
from IPython.display import display, HTML

display(HTML('<link href="//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700" rel="stylesheet" type="text/css" />'))
display(HTML('<link rel="stylesheet" type="text/css" href="http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css">'))

! pip install git+https://github.com/plotly/publisher.git --upgrade

import publisher
publisher.publish(
    '3d-filled-line.ipynb', 'python/3d-filled-line-plots/', '3D Filled Line Plots in Python | plotly',
    'How to make 3D Filled Line Plots in Python',
    title = '3D Filled Line Plots in Python | plotly',
    name = '3D Filled Line Plots',
    has_thumbnail='true', thumbnail='thumbnail/3d-filled-line-plot.jpg',
    language='python',
    display_as='3d_charts', order=5,
    ipynb= '~notebook_demo/65')


deletable=true editable=true
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