plotly.express.scatter() function
This function is used to create the scatter plot and can be used with pandas dataframes. Each row of dataframe is represented by a symbol mark in 2D space in scatter plot.
Syntax: plotly.express.scatter(data_frame=None, x=None, y=None, color=None, symbol=None, size=None, hover_name=None, hover_data=None, title=None, template=None, width=None, height=None)
Parameters:
data_frame: DataFrame or array-like or dict needs to be passed for column names.
x, y: This parameters is either a name of a column in data_frame, or a pandas Series or array_like object. Values from this column or array_like are used to position marks along the x and y axis in cartesian coordinates respectively.
color: This parameters assign color to marks.
symbol: This parameter is used to assign symbols to marks. It is either a name of a column in data_frame, or a pandas Series or array_like object.
size: This parameter is used to assign mark sizes. It is either a name of a column in data_frame, or a pandas Series or array_like object.
hover_name: Values from this column or array_like appear in bold in the hover tooltip.
hover_data: This parameter is used to appear in the hover tooltip or tuples with a bool or formatting string as first element, and list-like data to appear in hover as second element Values from these columns appear as extra data in the hover tooltip.
custom_data: This parameter is either names of columns in data_frame, or pandas Series, or array_like objects
Example 1:
Python3
# Python program to demonstrate scatter # plot import plotly.express as px df = px.data.tips() plot = px.scatter(df, x = 'day' , y = 'time' ) plot.show() |
Output:
Example 2: Coloring according to the sex in tips dataset
Python3
# Python program to demonstrate scatter # plot import plotly.express as px df = px.data.tips() plot = px.scatter(df, x = 'day' , y = 'total_bill' , color = 'sex' ) plot.show() |
Output:
Example 3: Using the symbol parameter
Python3
# Python program to demonstrate scatter # plot import plotly.express as px df = px.data.tips() plot = px.scatter(df, x = 'day' , y = 'total_bill' , color = 'sex' , symbol = 'total_bill' ) plot.show() |
Output:
plotly.express.scatter() function in Python
Plotly library of Python can be very useful for data visualization and understanding the data simply and easily. Plotly graph objects are a high-level interface to plotly which are easy to use.
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