Customizing bar charts
By using keyword arguments the bar mode can be customized. Let’s see the examples given below:
Example 1: In this example, the bar is customizing according to the color attributes.
Python3
import plotly.express as pxdf = px.data.iris()fig = px.bar(df, x="sepal_width", y="sepal_length", color="species")fig.show() |
Output:
Example 2: In this example, we will use barmode = “group”. With “group”, the bars are grouped with one another
Python3
import plotly.express as pxdf = px.data.iris()fig = px.bar(df, x="sepal_width", y="sepal_length", color="species", barmode = 'group')fig.show() |
Output:
Example 3: Here, we will use “overlay” With “overlay”, the bars are overlaid with another. Here we see easily “opacity” to see multiple bars.
Python3
import plotly.express as pxdf = px.data.iris()fig = px.bar(df, x="sepal_width", y="sepal_length", color="species", barmode='overlay')fig.show() |
Output:
Bar chart using Plotly in Python
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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