Add %/£/$ symbol to values

[vp04]

I have produced my bar charts via plotly express

The values I have are percentages and some are monetary values.

I am attempting to

1. add in the symbol of % or £ to the values on the bar

2. round the numbers to be no decimal places

def _bar_plot(df, **kwargs):

    combined_df = df.query("variable == 'bar plot'")

    fig = px.bar(combined_df, x="business", y="value", title="bar plot (%)", text="value", color="business",)

    fig.update_layout(

        hovermode="x",showlegend=False, autosize=True, yaxis=dict(tickformat=".2%")

    )

    return plot(fig, output_type="div", include_plotlyjs=False)

Example below of wanting to change the percents below from 0.58 to 58%

[empet]

@vp04

Append the unicode for euro, pound, (https://www.fileformat.info/info/unicode/category/Sc/list.htm) and just '%' for percent, to each element in fig.data[0].text’, converted to string:

import pandas as pd
import plotly.express as px
df =pd.DataFrame(dict(product=['A', 'B', 'C'],   
                      value= [2000, 1400, 2300]))

fig = px.bar(df, x='product', y='value', text="value")
#print(fig.data[0].text) to see its actual definition, and update it as follows:
fig.update_traces(text= [f'{val}\u00A3' for val in df['value']])
fig.show()

[vp04]

Thanks for the comment.

I can see that the unicode addition does append properly.

The only issue i have is that it is now taking the wrong column values and not the one i want.

EG
I have 2 columns which are the values from the model.
There is a third column that is an equation of col1+2, which is the results needed to be shown
Using the above unicode line, only returns results from col1

before unicode

after unicode

[empet]

@vp04

Could you paste, pls, your code for text definition/update, and write down how you want to be displayed the string for the third bar?