Styling Scatter Plots
In scatter plot can be styled using keywords arguments, let’s see the examples given below:
Example 1: Changing the color of the graph
Python3
import plotly.graph_objects as px import numpy as np # creating random data through randomint # function of numpy.random np.random.seed( 42 ) random_x = np.random.randint( 1 , 101 , 100 ) random_y = np.random.randint( 1 , 101 , 100 ) plot = px.Figure(data = [px.Scatter( x = random_x, y = random_y, mode = 'markers' , marker_color = 'rgba(199, 10, 165, .9)' ) ]) plot.show() |
Output:
Example 2: Using tips dataset
Python3
import plotly.graph_objects as px import plotly.express as go import numpy as np df = go.data.tips() x = df[ 'total_bill' ] y = df[ 'day' ] plot = px.Figure(data = [px.Scatter( x = x, y = y, mode = 'markers' , marker_color = 'rgba(199, 10, 165, .9)' ) ]) plot.update_traces(mode = 'markers' , marker_size = 10 ) plot.show() |
Output:
Scatter plot in Plotly using graph_objects class
Plotly is a Python library which is used to design graphs, especially interactive graphs. It can plot various graphs and charts like histogram, barplot, boxplot, spreadplot and many more. It is mainly used in data analysis as well as financial analysis. plotly is an interactive visualization library.