Pandas count unique value and change to percentage and put into the plotly bar chart
Question
I have a pandas dataframe which looks like this:
Country
Japan
Japan
Korea
India
India
USA
USA
USA
I need to count the unique values of the country column and change to percentage and need to put in the x-axis and y-axis of plotly bar chart. Can anyone teach me how to do it?
1 answers
solution1
3 ACCPTED 2019-12-18 16:48:24
使用value_counts ：
df.Country.value_counts(normalize=True)
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.
Related Question
Adding percentage of count to a stacked bar chart in plotly
How to add the percentage value along with the value count in Plotly Express Bar chart
Percentage stacked bar chart pandas
Plotly bar chart - change color based on positive/negative value - python
Plotly grouped bar chart from pandas df
Plotly stacked bar chart pandas dataframe
Bar chart with 2 data series with Pandas Dataframe and Plotly
Add second y-axis with percentage in bar chart plotly
Plotly express bar chart colour change
Adding percentage to plotly bar
Related Tags