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.
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:
