Update docs examples to use title.text instead of title as a string for title

doc/python/3d-axes.md

@@ -159,9 +159,22 @@ fig.add_trace(go.Mesh3d(x=(70*np.random.randn(N)),
                   ))
 
 fig.update_layout(scene = dict(
-                    xaxis_title='X AXIS TITLE',
-                    yaxis_title='Y AXIS TITLE',
-                    zaxis_title='Z AXIS TITLE'),
+                      xaxis=dict(
+                          title=dict(
+                              text='X AXIS TITLE'
+                          )
+                      ),
+                      yaxis=dict(
+                          title=dict(
+                              text='Y AXIS TITLE'
+                          )
+                      ),
+                      zaxis=dict(
+                          title=dict(
+                              text='Z AXIS TITLE'
+                          )
+                      ),
+                    ),
                     width=700,
                     margin=dict(r=20, b=10, l=10, t=10))
 

doc/python/3d-bubble-charts.md

@@ -77,7 +77,7 @@ fig = go.Figure(data=go.Scatter3d(
 
 
 fig.update_layout(height=800, width=800,
-                  title='Examining Population and Life Expectancy Over Time')
+                  title=dict(text='Examining Population and Life Expectancy Over Time'))
 
 fig.show()
 ```
@@ -116,7 +116,7 @@ fig = go.Figure(data=go.Scatter3d(
 fig.update_layout(
     width=800,
     height=800,
-    title="Planets!",
+    title=dict(text="Planets!"),
     scene=dict(
         xaxis=dict(
             title=dict(
@@ -184,7 +184,7 @@ fig = go.Figure(go.Scatter3d(
 fig.update_layout(
     width=800,
     height=800,
-    title="Planets!",
+    title=dict(text="Planets!"),
     scene=dict(
         xaxis=dict(
             title=dict(

doc/python/3d-camera-controls.md

@@ -53,7 +53,7 @@ z_data = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/a
 
 fig = go.Figure(data=go.Surface(z=z_data, showscale=False))
 fig.update_layout(
-    title='Mt Bruno Elevation',
+    title=dict(text='Mt Bruno Elevation'),
     width=400, height=400,
     margin=dict(t=40, r=0, l=20, b=20)
 )
@@ -85,7 +85,7 @@ z_data = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/a
 
 fig = go.Figure(data=go.Surface(z=z_data, showscale=False))
 fig.update_layout(
-    title='Mt Bruno Elevation',
+    title=dict(text='Mt Bruno Elevation'),
     width=400, height=400,
     margin=dict(t=30, r=0, l=20, b=10)
 )
@@ -112,7 +112,7 @@ z_data = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/a
 
 fig = go.Figure(data=go.Surface(z=z_data, showscale=False))
 fig.update_layout(
-    title='Mt Bruno Elevation',
+    title=dict(text='Mt Bruno Elevation'),
     width=400, height=400,
     margin=dict(t=30, r=0, l=20, b=10)
 )
@@ -138,7 +138,7 @@ z_data = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/a
 
 fig = go.Figure(data=go.Surface(z=z_data, showscale=False))
 fig.update_layout(
-    title='Mt Bruno Elevation',
+    title=dict(text='Mt Bruno Elevation'),
     width=400, height=400,
     margin=dict(t=30, r=0, l=20, b=10)
 )
@@ -163,7 +163,7 @@ z_data = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/a
 
 fig = go.Figure(data=go.Surface(z=z_data, showscale=False))
 fig.update_layout(
-    title='Mt Bruno Elevation',
+    title=dict(text='Mt Bruno Elevation'),
     width=400, height=400,
     margin=dict(t=30, r=0, l=20, b=10)
 )
@@ -189,7 +189,7 @@ z_data = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/a
 
 fig = go.Figure(data=go.Surface(z=z_data, showscale=False))
 fig.update_layout(
-    title='Mt Bruno Elevation',
+    title=dict(text='Mt Bruno Elevation'),
     width=400, height=400,
     margin=dict(t=30, r=0, l=20, b=10)
 )
@@ -216,7 +216,7 @@ z_data = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/a
 
 fig = go.Figure(data=go.Surface(z=z_data, showscale=False))
 fig.update_layout(
-    title='Mt Bruno Elevation',
+    title=dict(text='Mt Bruno Elevation'),
     width=400, height=400,
     margin=dict(t=30, r=0, l=20, b=10)
 )
@@ -243,7 +243,7 @@ z_data = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/a
 
 fig = go.Figure(data=go.Surface(z=z_data, showscale=False))
 fig.update_layout(
-    title='Mt Bruno Elevation',
+    title=dict(text='Mt Bruno Elevation'),
     width=400, height=400,
     margin=dict(t=30, r=0, l=20, b=10)
 )
@@ -273,7 +273,7 @@ z_data = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/a
 
 fig = go.Figure(data=go.Surface(z=z_data, showscale=False))
 fig.update_layout(
-    title='Mt Bruno Elevation',
+    title=dict(text='Mt Bruno Elevation'),
     width=400, height=400,
     margin=dict(t=25, r=0, l=20, b=30)
 )

doc/python/3d-mesh.md

@@ -97,7 +97,7 @@ fig = go.Figure(data=[
         x=[0, 1, 2, 0],
         y=[0, 0, 1, 2],
         z=[0, 2, 0, 1],
-        colorbar_title='z',
+        colorbar=dict(title=dict(text='z')),
         colorscale=[[0, 'gold'],
                     [0.5, 'mediumturquoise'],
                     [1, 'magenta']],
@@ -128,7 +128,7 @@ fig = go.Figure(data=[
         x=[0, 0, 1, 1, 0, 0, 1, 1],
         y=[0, 1, 1, 0, 0, 1, 1, 0],
         z=[0, 0, 0, 0, 1, 1, 1, 1],
-        colorbar_title='z',
+        colorbar=dict(title=dict(text='z')),
         colorscale=[[0, 'gold'],
                     [0.5, 'mediumturquoise'],
                     [1, 'magenta']],
@@ -160,7 +160,7 @@ fig = go.Figure(data=[
         x=[0, 0, 1, 1, 0, 0, 1, 1],
         y=[0, 1, 1, 0, 0, 1, 1, 0],
         z=[0, 0, 0, 0, 1, 1, 1, 1],
-        colorbar_title='z',
+        colorbar=dict(title=dict(text='z')),
         colorscale=[[0, 'gold'],
                     [0.5, 'mediumturquoise'],
                     [1, 'magenta']],

doc/python/3d-surface-plots.md

@@ -46,7 +46,7 @@ z_data = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/a
 
 fig = go.Figure(data=[go.Surface(z=z_data.values)])
 
-fig.update_layout(title='Mt Bruno Elevation', autosize=False,
+fig.update_layout(title=dict(text='Mt Bruno Elevation'), autosize=False,
                   width=500, height=500,
                   margin=dict(l=65, r=50, b=65, t=90))
 
@@ -67,7 +67,7 @@ z = z_data.values
 sh_0, sh_1 = z.shape
 x, y = np.linspace(0, 1, sh_0), np.linspace(0, 1, sh_1)
 fig = go.Figure(data=[go.Surface(z=z, x=x, y=y)])
-fig.update_layout(title='Mt Bruno Elevation', autosize=False,
+fig.update_layout(title=dict(text='Mt Bruno Elevation'), autosize=False,
                   width=500, height=500,
                   margin=dict(l=65, r=50, b=65, t=90))
 fig.show()
@@ -90,7 +90,7 @@ z_data = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/a
 fig = go.Figure(data=[go.Surface(z=z_data.values)])
 fig.update_traces(contours_z=dict(show=True, usecolormap=True,
                                   highlightcolor="limegreen", project_z=True))
-fig.update_layout(title='Mt Bruno Elevation', autosize=False,
+fig.update_layout(title=dict(text='Mt Bruno Elevation'), autosize=False,
                   scene_camera_eye=dict(x=1.87, y=0.88, z=-0.64),
                   width=500, height=500,
                   margin=dict(l=65, r=50, b=65, t=90)

doc/python/animations.md

@@ -126,7 +126,7 @@ fig = go.Figure(
     layout=go.Layout(
         xaxis=dict(range=[0, 5], autorange=False),
         yaxis=dict(range=[0, 5], autorange=False),
-        title="Start Title",
+        title=dict(text="Start Title"),
         updatemenus=[dict(
             type="buttons",
             buttons=[dict(label="Play",
@@ -240,7 +240,7 @@ fig = go.Figure(
     layout=go.Layout(width=600, height=600,
                      xaxis=dict(range=[xm, xM], autorange=False, zeroline=False),
                      yaxis=dict(range=[ym, yM], autorange=False, zeroline=False),
-                     title="Moving Frenet Frame Along a Planar Curve",
+                     title=dict(text="Moving Frenet Frame Along a Planar Curve"),
                      hovermode="closest",
                      updatemenus=[dict(type="buttons",
                                        buttons=[dict(label="Play",

doc/python/axes.md

@@ -649,8 +649,8 @@ import plotly.express as px
 df = px.data.stocks(indexed=True)
 
 fig = px.line(df, df.index, y="GOOG")
-fig.update_yaxes(ticklabelposition="inside", title="Price")
-fig.update_xaxes(insiderange=['2018-10-01', '2019-01-01'], title="Date")
+fig.update_yaxes(ticklabelposition="inside", title=dict(text="Price"))
+fig.update_xaxes(insiderange=['2018-10-01', '2019-01-01'], title=dict(text="Date"))
 
 fig.show()
 ```

doc/python/bar-charts.md

@@ -616,7 +616,7 @@ fig.add_trace(go.Bar(x=years,
                 ))
 
 fig.update_layout(
-    title='US Export of Plastic Scrap',
+    title=dict(text='US Export of Plastic Scrap'),
     xaxis_tickfont_size=14,
     yaxis=dict(
         title=dict(

doc/python/box-plots.md

@@ -367,7 +367,10 @@ fig.add_trace(go.Box(
 ))
 
 fig.update_layout(
-    yaxis_title='normalized moisture',
+    yaxis=dict(
+        title=dict(
+            text='normalized moisture')
+    ),
     boxmode='group' # group together boxes of the different traces for each value of x
 )
 fig.show()
@@ -402,7 +405,7 @@ fig.add_trace(go.Box(
 ))
 
 fig.update_layout(
-    xaxis=dict(title='normalized moisture', zeroline=False),
+    xaxis=dict(title=dict(text='normalized moisture'), zeroline=False),
     boxmode='group'
 )
 
@@ -479,7 +482,7 @@ for xd, yd, cls in zip(x_data, y_data, colors):
         )
 
 fig.update_layout(
-    title='Points Scored by the Top 9 Scoring NBA Players in 2012',
+    title=dict(text='Points Scored by the Top 9 Scoring NBA Players in 2012'),
     yaxis=dict(
         autorange=True,
         showgrid=True,

doc/python/bubble-charts.md

@@ -202,15 +202,15 @@ fig.update_traces(mode='markers', marker=dict(sizemode='area',
                                               sizeref=sizeref, line_width=2))
 
 fig.update_layout(
-    title='Life Expectancy v. Per Capita GDP, 2007',
+    title=dict(text='Life Expectancy v. Per Capita GDP, 2007'),
     xaxis=dict(
-        title='GDP per capita (2000 dollars)',
+        title=dict(text='GDP per capita (2000 dollars)'),
         gridcolor='white',
         type='log',
         gridwidth=2,
     ),
     yaxis=dict(
-        title='Life Expectancy (years)',
+        title=dict(text='Life Expectancy (years)'),
         gridcolor='white',
         gridwidth=2,
     ),

doc/python/candlestick-charts.md

@@ -106,8 +106,12 @@ fig = go.Figure(data=[go.Candlestick(x=df['Date'],
                       ])
 
 fig.update_layout(
-    title='The Great Recession',
-    yaxis_title='AAPL Stock',
+    title=dict(text='The Great Recession'),
+    yaxis=dict(
+      title=dict(
+        text='AAPL Stock'
+        )
+    ),
     shapes = [dict(
         x0='2016-12-09', x1='2016-12-09', y0=0, y1=1, xref='x', yref='paper',
         line_width=2)],

doc/python/choropleth-maps.md

@@ -287,7 +287,11 @@ fig = go.Figure(data=go.Choropleth(
     autocolorscale=False,
     text=df['text'], # hover text
     marker_line_color='white', # line markers between states
-    colorbar_title="Millions USD"
+    colorbar=dict(
+        title=dict(
+            text="Millions USD"
+            )
+    )
 ))
 
 fig.update_layout(

doc/python/colorscales.md

@@ -246,7 +246,7 @@ df = px.data.tips()
 fig = px.density_heatmap(df, x="total_bill", y="tip", title="Customized color bar on this density plot")
 
 fig.update_layout(coloraxis_colorbar=dict(
-    title="Number of Bills per Cell",
+    title=dict(text="Number of Bills per Cell"),
     thicknessmode="pixels", thickness=50,
     lenmode="pixels", len=200,
     yanchor="top", y=1,
@@ -271,7 +271,7 @@ fig = px.parallel_coordinates(df, dimensions=["sepal_length", "sepal_width", "pe
                                                      (0.66, "blue"),  (1.00, "blue")])
 
 fig.update_layout(coloraxis_colorbar=dict(
-    title="Species",
+    title=dict(text="Species"),
     tickvals=[1,2,3],
     ticktext=["setosa","versicolor","virginica"],
     lenmode="pixels", len=100,
@@ -291,7 +291,7 @@ df = px.data.gapminder().query("year == 2007")
 fig = px.scatter(df, y="lifeExp", x="pop", color=np.log10(df["pop"]), hover_name="country", log_x=True)
 
 fig.update_layout(coloraxis_colorbar=dict(
-    title="Population",
+    title=dict(text="Population"),
     tickvals=[6,7,8,9],
     ticktext=["1M", "10M", "100M", "1B"],
 ))
@@ -408,7 +408,7 @@ fig.add_trace(go.Scatter(
         cmin=0,
         color=values,
         colorbar=dict(
-            title="Colorbar"
+            title=dict(text="Colorbar")
         ),
         colorscale="Viridis"
     ),
@@ -659,7 +659,7 @@ fig = go.Figure(go.Heatmap(
     colorbar=dict(
         x=0.2,
         xref="container",
-        title="Surface Heat"
+        title=dict(text="Surface Heat")
     )
 ))
 

doc/python/continuous-error-bars.md

@@ -108,8 +108,8 @@ fig = go.Figure([
     )
 ])
 fig.update_layout(
-    yaxis_title='Wind speed (m/s)',
-    title='Continuous, variable value error bars',
+    yaxis=dict(title=dict(text='Wind speed (m/s)')),
+    title=dict(text='Continuous, variable value error bars'),
     hovermode="x"
 )
 fig.show()

doc/python/contour-plots.md

@@ -153,8 +153,8 @@ fig.add_trace(go.Contour(z=z, showscale=False, connectgaps=True), 1, 2)
 fig.add_trace(go.Heatmap(z=z, showscale=False, zsmooth='best'), 2, 1)
 fig.add_trace(go.Heatmap(z=z, showscale=False, connectgaps=True, zsmooth='best'), 2, 2)
 
-fig['layout']['yaxis1'].update(title='Contour map')
-fig['layout']['yaxis3'].update(title='Heatmap')
+fig['layout']['yaxis1'].update(title=dict(text='Contour map'))
+fig['layout']['yaxis3'].update(title=dict(text='Heatmap'))
 
 fig.show()
 ```

doc/python/county-choropleth.md

@@ -120,7 +120,14 @@ fig = ff.create_choropleth(
     fips=fips, values=values, scope=['CA', 'AZ', 'Nevada', 'Oregon', ' Idaho'],
     binning_endpoints=[14348, 63983, 134827, 426762, 2081313], colorscale=colorscale,
     county_outline={'color': 'rgb(255,255,255)', 'width': 0.5}, round_legend_values=True,
-    legend_title='Population by County', title='California and Nearby States'
+    legend=dict(
+      title=dict(
+        text='Population by County'
+      )
+    ),
+    title=dict(
+      text='California and Nearby States'
+    )
 )
 fig.layout.template = None
 fig.show()

doc/python/datashader.md

@@ -106,6 +106,6 @@ agg.values = np.log10(agg.values, where=np.logical_not(zero_mask))
 agg.values[zero_mask] = np.nan
 fig = px.imshow(agg, origin='lower', labels={'color':'Log10(count)'})
 fig.update_traces(hoverongaps=False)
-fig.update_layout(coloraxis_colorbar=dict(title='Count', tickprefix='1.e'))
+fig.update_layout(coloraxis_colorbar=dict(title=dict(text='Count'), tickprefix='1.e'))
 fig.show()
 ```