diff --git a/python/hover-text-and-formatting.md b/python/hover-text-and-formatting.md
index f73fd7d14..d5972edc1 100644
--- a/python/hover-text-and-formatting.md
+++ b/python/hover-text-and-formatting.md
@@ -6,7 +6,7 @@ jupyter:
       extension: .md
       format_name: markdown
       format_version: '1.1'
-      jupytext_version: 1.1.7
+      jupytext_version: 1.2.1
   kernelspec:
     display_name: Python 3
     language: python
@@ -20,7 +20,7 @@ jupyter:
     name: python
     nbconvert_exporter: python
     pygments_lexer: ipython3
-    version: 3.6.5
+    version: 3.7.3
   plotly:
     description: How to use hover text and formatting in Python with Plotly.
     display_as: file_settings
@@ -104,5 +104,129 @@ fig.update_yaxes(hoverformat=".2f")
 fig.show()
 ```
 
+### Customize tooltip text with a hovertemplate
+
+To customize the tooltip on your graph you can use [hovertemplate](https://plot.ly/python/reference/#pie-hovertemplate), which is a template string used for rendering the information that appear on hoverbox. 
+This template string can include `variables` in %{variable} format, `numbers` in [d3-format's syntax](https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_forma), and `date` in [d3-time-fomrat's syntax](https://github.com/d3/d3-3.x-api-reference/blob/master/Time-Formatting.md#format).
+Hovertemplate customize the tooltip text vs. [texttemplate](https://plot.ly/python/reference/#pie-texttemplate) which customizes the text that appears on your chart. 
+
+```python
+import plotly.graph_objects as go
+
+fig = go.Figure(go.Scatter(
+    x = [1,2,3,4,5],
+    y = [2.02825,1.63728,6.83839,4.8485,4.73463],
+    hovertemplate = 
+    '<i>Price</i>: $%{y:.2f}'+
+    '<br><b>X</b>: %{x}<br>'+
+    '<b>%{text}</b>',
+    text = ['Custom text {}'.format(i + 1) for i in range(5)],
+    showlegend = False))
+
+fig.add_trace(go.Scatter(
+    x = [1,2,3,4,5],
+    y = [3.02825,2.63728,4.83839,3.8485,1.73463],
+    hovertemplate = 'Price: %{y:$.2f}<extra></extra>',
+    showlegend = False))
+
+fig.update_layout(title = "Set hover text with hovertemplate")
+
+fig.show()
+```
+
+```python
+import plotly.graph_objects as go
+
+fig = go.Figure(go.Pie(
+    name = "", 
+    values = [2, 5, 3, 2.5],
+    labels = ["R", "Python", "Java Script", "Matlab"],
+    text = ["textA", "TextB", "TextC", "TextD"],
+    hovertemplate = "%{label}: <br>Popularity: %{percent} </br> %{text}"
+))
+
+fig.show()
+```
+
+### Advanced Hover Template
+The following example shows how to format hover template. [Here](https://plot.ly/python/v3/hover-text-and-formatting/#dash-example) is an example to see how to format hovertemplate in Dash.
+
+```python
+import plotly.graph_objects as go
+import plotly.express as px
+import pandas as pd
+import math
+
+data = px.data.gapminder()
+df_2007 = data[data['year']==2007]
+df_2007 = df_2007.sort_values(['continent', 'country'])
+
+bubble_size = []
+
+for index, row in df_2007.iterrows():
+    bubble_size.append(math.sqrt(row['pop']))
+
+df_2007['size'] = bubble_size
+continent_names = ['Africa', 'Americas', 'Asia', 'Europe', 'Oceania']
+continent_data = {continent:df_2007.query("continent == '%s'" %continent)
+                              for continent in continent_names}
+
+fig = go.Figure()
+
+for continent_name, continent in continent_data.items():
+    fig.add_trace(go.Scatter(
+        x=continent['gdpPercap'], 
+        y=continent['lifeExp'],
+        name=continent_name, 
+        text=df_2007['continent'],
+        hovertemplate=
+        "<b>%{text}</b><br><br>" +
+        "GDP per Capita: %{y:$,.0f}<br>" +
+        "Life Expectation: %{x:.0%}<br>" +
+        "Population: %{marker.size:,}" +
+        "<extra></extra>",
+        marker_size=continent['size'],
+        ))
+
+fig.update_traces(
+    mode='markers', 
+    marker={'sizemode':'area',
+            'sizeref':10})
+
+fig.update_layout(
+    xaxis={
+        'title':'GDP per capita',
+        'type':'log'},
+    yaxis={'title':'Life Expectancy (years)'})
+
+fig.show()
+```
+
+### Set Hover Template in Mapbox
+```python
+import plotly.graph_objects as go
+
+token = open(".mapbox_token").read() # you need your own token
+
+fig = go.Figure(go.Scattermapbox(
+    name = "",
+    mode = "markers+text+lines",
+    lon = [-75, -80, -50], 
+    lat = [45, 20, -20], 
+    marker = {'size': 20, 'symbol': ["bus", "harbor", "airport"]},
+    hovertemplate =
+    "<b>%{marker.symbol} </b><br><br>" +
+    "longitude: %{lon}<br>" +
+    "latitude: %{lat}<br>" ))
+
+fig.update_layout(
+    mapbox = {
+        'accesstoken': token,
+        'style': "outdoors", 'zoom': 1},
+    showlegend = False)
+
+fig.show()
+```
+
 #### Reference
 See https://plot.ly/python/reference/ for more information and chart attribute options!