Type of normalization
By default, mode through which the bins are represented is count of samples. We can change this mode using Plotly. Ir=t can be done using histnorm argument. Different values that can be passed using this argument are-
- percent or probability: The output of histfunc for a given bin is divided by the sum of the output of histfunc for all bins.
- density: The output of histfunc for a given bin is divided by the size of the bin.
- probability density: The output of histfunc for a given bin is normalized such that it corresponds to the probability that a random
Example 1:
Python3
import plotly.express as px df = px.data.tips() fig = px.histogram(df, x="total_bill", histnorm='probability density') fig.show() |
Output:
Example 2:
Python3
import plotly.express as px df = px.data.tips() fig = px.histogram(df, x="total_bill", histnorm='percent') fig.show() |
Output:
Histogram 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.
Contact Us