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 pximport 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 pximport plotly.express as goimport numpy as npdf = 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.
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