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add metadata-preservation line
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‎notebooks/1d-correlation.md

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@@ -164,4 +165,4 @@ publisher.publish(
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```python
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```
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```

‎notebooks/2D-Histogram.md

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@@ -44,10 +45,10 @@ plotly.__version__
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### 2D Histogram with Slider Control ###
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47-
Add slider controls to 2d histograms with the [postMessage API](https://github.com/plotly/postMessage-API).
48-
See the [code on JSFiddle](https://jsfiddle.net/plotlygraphs/y9sdy76h/4/).
49-
Watch [the 5 second video](https://raw.githubusercontent.com/plotly/documentation/gh-pages/all_static/images
50-
/flight_conflicts.gif) of how it works.
48+
Add slider controls to 2d histograms with the [postMessage API](https://github.com/plotly/postMessage-API).
49+
See the [code on JSFiddle](https://jsfiddle.net/plotlygraphs/y9sdy76h/4/).
50+
Watch [the 5 second video](https://raw.githubusercontent.com/plotly/documentation/gh-pages/all_static/images
51+
/flight_conflicts.gif) of how it works.
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```python
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from IPython.core.display import display,HTML
@@ -181,11 +182,11 @@ publisher.publish(
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'How to make 2D Histograms in Python with Plotly.',
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title = 'Python 2D Histograms | plotly',
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name = '2D Histograms',
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has_thumbnail='true', thumbnail='thumbnail/histogram2d.jpg',
185+
has_thumbnail='true', thumbnail='thumbnail/histogram2d.jpg',
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language='python', display_as='statistical', order=6,
186-
ipynb= '~notebook_demo/24')
187+
ipynb= '~notebook_demo/24')
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```
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```python
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```
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```

‎notebooks/2d-histogram-contour.md

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@@ -108,7 +109,7 @@ trace = [go.Histogram2dContour(
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color = 'black'
109110
)
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)
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)]
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py.iplot(trace, filename = "Histogram2dContour Styled")
@@ -212,15 +213,15 @@ publisher.publish(
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'histogram2dcontour.ipynb', 'python/2d-histogram-contour/', '2D Histogram Contour',
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'How to make 2D Histogram Contour plots in Python with Plotly.',
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title = '2D Histogram Contour | Plotly',
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has_thumbnail='true', thumbnail='thumbnail/hist2dcontour.png',
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language='python',
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has_thumbnail='true', thumbnail='thumbnail/hist2dcontour.png',
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language='python',
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# page_type='example_index', // note this is only if you want the tutorial to appear on the main page: plot.ly/python
218-
display_as='statistical',
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order=30,
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display_as='statistical',
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order=30,
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ipynb='~notebook_demo/199',
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uses_plotly_offline=False)
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```
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```python
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```
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```

‎notebooks/2d-projection-of-3d-surface.md

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@@ -95,14 +96,14 @@ trace1= go.Surface(
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```python
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axis = dict(
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showbackground=True,
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backgroundcolor="rgb(230, 230,230)",
100-
showgrid=False,
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zeroline=False,
99+
showbackground=True,
100+
backgroundcolor="rgb(230, 230,230)",
101+
showgrid=False,
102+
zeroline=False,
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showline=False)
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104105
ztickvals=list(range(-6,4))
105-
layout = go.Layout(title="Projections of a surface onto coordinate planes" ,
106+
layout = go.Layout(title="Projections of a surface onto coordinate planes" ,
106107
autosize=False,
107108
width=700,
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height=600,
@@ -127,8 +128,8 @@ y_offset=np.min(yy)*np.ones(z.shape)
127128
```
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129130
Define the color functions and the color numpy arrays, `C_z`, `C_x`, `C_y`, corresponding to each plane:<br>
130-
Define the 3-tuples of coordinates to be displayed at hovering the mouse over the projections.
131-
The first two coordinates give the position in the projection plane, whereas the third one is used
131+
Define the 3-tuples of coordinates to be displayed at hovering the mouse over the projections.
132+
The first two coordinates give the position in the projection plane, whereas the third one is used
132133
for assigning the color, just in the same way the coordinate z is used for the z-direction projection.
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134135
```python
@@ -142,7 +143,7 @@ colorsurfy=proj_z(x,y,z)
142143
textx=[['y: '+'{:0.5f}'.format(y[i][j])+'<br>z: '+'{:0.5f}'.format(z[i][j])+
143144
'<br>x: '+'{:0.5f}'.format(x[i][j]) for j in range(z.shape[1])] for i in range(z.shape[0])]
144145
texty=[['x: '+'{:0.5f}'.format(x[i][j])+'<br>z: '+'{:0.5f}'.format(z[i][j]) +
145-
'<br>y: '+'{:0.5f}'.format(y[i][j]) for j in range(z.shape[1])] for i in range(z.shape[0])]
146+
'<br>y: '+'{:0.5f}'.format(y[i][j]) for j in range(z.shape[1])] for i in range(z.shape[0])]
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147148
tracex = go.Surface(z=list(z),
148149
x=list(x_offset),
@@ -193,12 +194,12 @@ publisher.publish(
193194
'Plotly-project-3d-onto-a-plane.ipynb', 'python/2d-projection-of-3d-surface/', 'Projection of 3D Surface',
194195
'How to project 3D Surface plots in 2D with Plotly.',
195196
title = '2D Projection of 3D surface | plotly',
196-
has_thumbnail='true', thumbnail='thumbnail/projection-3d.jpg',
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has_thumbnail='true', thumbnail='thumbnail/projection-3d.jpg',
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language='python',
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display_as='3d_charts', order=19,
199200
ipynb= '~notebook_demo/79')
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```
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```python
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204-
```
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```

‎notebooks/3d-bubble-charts.md

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sizeref = 750, # info on sizeref: https://plot.ly/python/reference/#scatter-marker-sizeref
9798
size = planet_diameter,
9899
color = planet_colors,
99-
)
100+
)
100101
)
101102
data=[trace1]
102103

@@ -143,7 +144,7 @@ trace1 = go.Scatter3d(
143144
color = temperatures,
144145
colorbar = dict(title = 'Mean<br>Temperature'),
145146
colorscale=[[0, 'rgb(5, 10, 172)'], [.3, 'rgb(255, 255, 255)'], [1, 'rgb(178, 10, 28)']]
146-
)
147+
)
147148
)
148149
data=[trace1]
149150

@@ -172,19 +173,19 @@ display(HTML('<link href="//fonts.googleapis.com/css?family=Open+Sans:600,400,30
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display(HTML('<link rel="stylesheet" type="text/css" href="http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css">'))
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! pip install git+https://github.com/plotly/publisher.git --upgrade
175-
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176177
import publisher
177178
publisher.publish(
178179
'3dbubble.ipynb', 'python/3d-bubble-charts/', 'Python 3D Bubble Charts',
179180
'How to make 3D Bubble Charts in Python with Plotly. '
180181
'Three examples of 3D Bubble Charts.',
181182
title = 'Python 3D Bubble Charts | plotly',
182183
name = '3D Bubble Charts',
183-
has_thumbnail='true', thumbnail='thumbnail/3dbubble.jpg',
184+
has_thumbnail='true', thumbnail='thumbnail/3dbubble.jpg',
184185
language='python', display_as='3d_charts', order=2,
185186
ipynb= '~notebook_demo/62')
186187
```
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```python
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```
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```

‎notebooks/3d-camera-controls.md

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@@ -79,7 +80,7 @@ The up vector determines the up direction on the page. The default is $(x=0, y=0
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The center vector determines the translation about the center of the scene. By default, there is no translation: the center vector is $(x=0, y=0, z=0)$.
8182

82-
The eye vector determines the camera view point about the origin. The default is $(x=1.25, y=1.25, z=1.25)$.
83+
The eye vector determines the camera view point about the origin. The default is $(x=1.25, y=1.25, z=1.25)$.
8384
<!-- #endregion -->
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8586
```python deletable=true editable=true
@@ -211,12 +212,12 @@ publisher.publish(
211212
'How to Control the Camera in your 3D Charts in Python with Plotly.',
212213
title= 'Python 3D Camera Controls | plotly',
213214
name = '3D Camera Controls',
214-
has_thumbnail='true', thumbnail='thumbnail/3d-camera-controls.jpg',
215-
language='python',
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has_thumbnail='true', thumbnail='thumbnail/3d-camera-controls.jpg',
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language='python',
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display_as='layout_opts', order=18,
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ipynb= '~notebook_demo/78')
218219
```
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```python deletable=true editable=true
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```
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```

‎notebooks/3d-filled-line-plots.md

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@@ -58,7 +59,7 @@ for country, fill_color in zip(countries[::-1], fill_colors):
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country_coords = [country] * length
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pop = group['pop'].tolist()
6061
zeros = [0] * length
61-
62+
6263
data.append(dict(
6364
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'How to make 3D Filled Line Plots in Python',
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title = '3D Filled Line Plots in Python | plotly',
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name = '3D Filled Line Plots',
120-
has_thumbnail='true', thumbnail='thumbnail/3d-filled-line-plot.jpg',
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has_thumbnail='true', thumbnail='thumbnail/3d-filled-line-plot.jpg',
121122
language='python',
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display_as='3d_charts', order=5,
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ipynb= '~notebook_demo/65')
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```
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```python deletable=true editable=true
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```
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‎notebooks/3d-isosurface-plots.md

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! pip install git+https://github.com/plotly/publisher.git --upgrade
164-
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165166
import publisher
166167
publisher.publish(
167168
'isosurfaces.ipynb', 'python/3d-isosurface-plots/', 'Iso Surface',
168169
'How to make 3D Isosurface Plots in Python with Plotly.',
169170
title = 'Python 3D Isosurface Plots | plotly',
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name = '3D Isosurface Plots',
171-
has_thumbnail='true', thumbnail='thumbnail/isosurface.jpg',
172+
has_thumbnail='true', thumbnail='thumbnail/isosurface.jpg',
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redirect_from='python/isosurfaces-with-marching-cubes/',
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language='python',
174175
display_as='3d_charts', order=12.1,
175-
ipynb= '~notebook_demo/272')
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ipynb= '~notebook_demo/272')
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```
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```python
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‎notebooks/3d-line-plots.md

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display(HTML('<link rel="stylesheet" type="text/css" href="http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css">'))
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! pip install git+https://github.com/plotly/publisher.git --upgrade
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135136
import publisher
136137
publisher.publish(
137138
'3d-line.ipynb', 'python/3d-line-plots/', 'Python 3D Line Plots | plotly',
138139
'How to make 3D Line Plots',
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title= '3D Line Plots in Python | plotly',
140141
name = '3D Line Plots',
141-
has_thumbnail='true', thumbnail='thumbnail/3d-line.jpg',
142+
has_thumbnail='true', thumbnail='thumbnail/3d-line.jpg',
142143
language='python',
143144
display_as='3d_charts', order=3,
144145
ipynb= '~notebook_demo/63')
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```
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‎notebooks/3d-network-graph.md

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Get the node positions, set by the Kamada-Kawai layout for 3D graphs:
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9192
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92-
layt=G.layout('kk', dim=3)
93+
layt=G.layout('kk', dim=3)
9394
```
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9596
`layt` is a list of three elements lists (the coordinates of nodes):
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109110
Ze=[]
110111
for e in Edges:
111112
Xe+=[layt[e[0]][0],layt[e[1]][0], None]# x-coordinates of edge ends
112-
Ye+=[layt[e[0]][1],layt[e[1]][1], None]
113-
Ze+=[layt[e[0]][2],layt[e[1]][2], None]
113+
Ye+=[layt[e[0]][1],layt[e[1]][1], None]
114+
Ze+=[layt[e[0]][2],layt[e[1]][2], None]
114115
```
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116117
```python
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'How to make 3D Network Graphs in Python. ',
204205
title = '3D Network Graphs in Python | plotly',
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name = '3D Network Graphs',
206-
has_thumbnail='true', thumbnail='thumbnail/3dnetwork.jpg',
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language='python', page_type='example_index',
207+
has_thumbnail='true', thumbnail='thumbnail/3dnetwork.jpg',
208+
language='python', page_type='example_index',
208209
display_as='3d_charts', order=13,
209210
ipynb= '~notebook_demo/226')
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```python
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214-
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