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.
Grouping Bar charts
Grouping bar charts can be used to show multiple set of data items which are been compared with a single color which is used to indicate a specific series across all sets.
Method 1: Using graph_objects class
Example:
Python3
import plotly.graph_objects as pximport numpy# 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)x = ['A', 'B', 'C', 'D']plot = px.Figure(data=[px.Bar( name = 'Data 1', x = x, y = [100, 200, 500, 673] ), px.Bar( name = 'Data 2', x = x, y = [56, 123, 982, 213] )]) plot.show() |
Output:
Method 2: Using express class
Example 1: Iris dataset
Python3
import plotly.express as px df = px.data.iris() fig = px.bar(df, x="sepal_width", y="sepal_length", color="species", hover_data=['petal_width'], barmode = 'group') fig.show() |
Output:
Example 2: Tips dataset
Python3
import plotly.express as pxdf = px.data.tips()fig = px.bar(df, x="tota_bill", y="day", color="sex", barmode = 'group')fig.show() |
Output:
