Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://www.geeksforgeeks.org/bubble-chart-using-plotly-in-python/ below:

Bubble chart using Plotly in Python

Last Updated : 03 Jul, 2020

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.

The bubble chart in Plotly is created using the scatter plot. It can be created using the scatter() method of plotly.express. A bubble chart is a data visualization which helps to displays multiple circles (bubbles) in a two-dimensional plot as same in scatter plot. A bubble chart is primarily used to depict and show relationships between numeric variables.

Example:

import plotly.express as px

df = px.data.iris()

fig = px.scatter(df, x="sepal_width", y="sepal_length",
                 color="species",
                 size='petal_length', 
                 hover_data=['petal_width'])

fig.show()

Output:

Marker size and color are used to control the overall size of the marker. Marker size helps to maintain the color inside the bubble in the graph. Scatter is used to actually scale the marker sizes and color based on data.

Example:

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_size = [115, 20, 30])
])
                 
plot.show()

Output:

To scale the bubble size,use the parameter sizeref. To calculate the values of sizeref use:

sizeref = 2. * max(array of size values) / (desired maximum marker size ** 2)

Example:

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)

size = [20, 40, 60, 80, 100, 80, 60, 40, 20, 40]

plot = px.Figure(data=[px.Scatter(
    x = random_x,
    y = random_y,
    mode = 'markers',
    marker=dict(
        size=size,
        sizemode='area',
        sizeref=2.*max(size)/(40.**2),
        sizemin=4
    )
)])
                 
plot.show()

Output:

The color scale is a specialized label which helps to displays a color map with its scale, the color scale is used to display a color palette and its numerical scale for color mapped.

Example:

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=dict(
       color = [10, 20, 30, 50], 
       size = [10, 30, 50, 80],
       showscale=True
     )
)])
                 
plot.show()

Output:

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4