plotly.express.data package

Built-in datasets for demonstration, educational and test purposes.

plotly.express.data.carshare()

Each row represents the availability of car-sharing services near the centroid of a zone in Montreal over a month-long period.

Returns

['centroid_lat', 'centroid_lon', 'car_hours', 'peak_hour'].

Return type

A pandas.DataFrame with 249 rows and the following columns

plotly.express.data.election()

Each row represents voting results for an electoral district in the 2013 Montreal mayoral election.

Returns

['district', 'Coderre', 'Bergeron', 'Joly', 'total', 'winner', 'result', 'district_id'].

Return type

A pandas.DataFrame with 58 rows and the following columns

plotly.express.data.election_geojson()

Each feature represents an electoral district in the 2013 Montreal mayoral election.

Returns

A GeoJSON-formatted dict with 58 polygon or multi-polygon features whose id is an electoral district numerical ID and whose district property is the ID and district name.

plotly.express.data.gapminder()

Each row represents a country on a given year.

https://www.gapminder.org/data/

Returns

['country', 'continent', 'year', 'lifeExp', 'pop', 'gdpPercap', 'iso_alpha', 'iso_num'].

Return type

A pandas.DataFrame with 1704 rows and the following columns

plotly.express.data.iris()

Each row represents a flower.

https://en.wikipedia.org/wiki/Iris_flower_data_set

Returns

['sepal_length', 'sepal_width', 'petal_length', 'petal_width', 'species', 'species_id'].

Return type

A pandas.DataFrame with 150 rows and the following columns

plotly.express.data.tips()

Each row represents a restaurant bill.

https://vincentarelbundock.github.io/Rdatasets/doc/reshape2/tips.html

Returns

['total_bill', 'tip', 'sex', 'smoker', 'day', 'time', 'size'].

Return type

A pandas.DataFrame with 244 rows and the following columns

plotly.express.data.wind()

Each row represents a level of wind intensity in a cardinal direction, and its frequency.

Returns

['direction', 'strength', 'frequency'].

Return type

A pandas.DataFrame with 128 rows and the following columns