Brave Search

community.plotly.com › t › how-to-add-custom-labels-to-graphs › 84418

It took some digging, but I figured out how to do it. I’m using the ipywidget library so I’m going to show the full code here. This is what my graph looks like now: [image] Because I’m using xref = “paper” and yref = “paper”, I was able to place text in a relative position, regardless of the x a… Answer from iacisme on community.plotly.com

Plotly

plotly.com › python › figure-labels

Setting the font, title, legend entries, and axis titles in Python

When using Plotly Express, your axes and legend are automatically labelled, and it's easy to override the automation for a customized figure using the labels keyword argument.

Plotly

plotly.com › python › text-and-annotations

Text and annotations in Python

Traces can optionally support hover labels and can appear in legends. Text annotations can be positioned absolutely or relative to data coordinates in 2d/3d cartesian subplots only. Traces cannot be positioned absolutely but can be positioned relative to data coordinates in any subplot type. Traces also be used to draw shapes, although there is a shape equivalent to text annotations. Here is an example that creates a scatter plot with text labels using Plotly Express.

Plotly

plotly.com › r › figure-labels

Setting the font, title, legend entries, and axis titles in R

When using Plotly, your axes is automatically labelled, and it's easy to override the automation for a customized figure using the labels keyword argument.

Plotly

plotly.com › python › axes

Axes in Python

The tickvals and ticktext axis properties can be used together to display custom tick label text at custom locations along an axis. They should be set to lists of the same length where the tickvals list contains positions along the axis, and ticktext contains the strings that should be displayed at the corresponding positions. Here is an example. ... import plotly.graph_objects as go import pandas as pd apple_df = pd.read_csv( "https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv" ) # Convert 'Date' column to datetime format apple_df['Date'] = pd.to_datetime(apple_

Plotly

plotly.com › r › text-and-annotations

Text and annotations in R

The minsize attribute sets the font size, and the mode attribute sets what happens for labels which cannot fit with the desired fontsize: either hide them or show them with overflow. library(plotly) df <- read.csv("https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv", stringsAsFactors = FALSE) df <- df[which(df$year==2007 & df$continent=='Europe' & df$pop > 2.e6),] fig <- plot_ly(df, type='bar', x = ~country, y = ~pop, text = ~lifeExp, name="", hovertemplate = paste('%{x}', '<br>lifeExp: %{text:.2s}<br>'), texttemplate = '%{y:.2s}', textposition = 'outside') fig <- fig %>% layout(uniformtext=list(minsize=8, mode='hide')) fig

Plotly

plotly.com › python › styling-plotly-express

Styling plotly express figures in Python

Every Plotly Express function accepts ... ... labels to override the default axis and legend labels behaviour, which is to use the data frame column name if available, and otherwise to use the label name itself like "x", "y", "color" etc...

Plotly

community.plotly.com › 📊 plotly python

How to add custom labels to graphs - 📊 Plotly Python - Plotly Community Forum

May 11, 2024 - Howdy folks; I’m trying to do something similar to this graph using plotly: But I’m having trouble figuring out how to create the custom label, like on the above graph. The closest I’ve come is this: But I’d li…

GeeksforGeeks

geeksforgeeks.org › add-data-labels-to-plotly-line-graph-in-python

Add data Labels to Plotly Line Graph in Python - GeeksforGeeks

July 23, 2025 - The texttemplate property is set to '%{text:.2s}', which formats the data labels to display the Sales values with two significant figures and the textposition property is set to 'top center' to position the data labels at the top center of each data point. ... import plotly.express as px import pandas as pd # Create a pandas DataFrame df = pd.DataFrame({ 'Month': ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun'], 'Sales': [1000, 1500, 1200, 1800, 2000, 1600] }) # Create a line chart with data labels fig = px.line(df, x='Month', y='Sales', text='Sales') # Customize the data labels fig.update_traces(texttemplate='%{text:.2s}', textposition='top center') # Display the line chart fig.show()

Plotly

community.plotly.com › 📊 plotly python

📣 Announcing Plotly.py 5.15.0 - Label Aliases, Labels on Shapes, Texttemplate on Shape Labels, Multiple Legends, and Patterns

June 21, 2023 - We are happy to announce that Plotly.py 5.15.0 is now available for download via pip and conda! For up-to-date installation and upgrading instructions, please see our Getting Started documentation page and if you run int…

Find elsewhere

Google Bing Mojeek

Plotly

plotly.com › chart-studio-help › label-points-with-text-in-a-scatter-plot

Label Points with Text in a Scatter Plot

To select a column associated to the text for each corresponding data points, head to 'Text' sub-panel and from the drop down menu of 'Text' property choose a column. You can define the position of the text on plot by heading to 'Text Position' ...

Statistics Globe

statisticsglobe.com › home › python programming language for statistics & data science › change plotly axis labels in python (example)

Change plotly Axis Labels in Python (Example) | Modify Plot Names

October 5, 2022 - In the video, we explain how to create an interactive plotly bar plot. The YouTube video will be added soon. Furthermore, you could have a look at some of the other tutorials on Statistics Globe: ... This post has shown how to change the labels of the axes of a plot in plotly using Python.

Plotly

plotly.com › javascript › figure-labels

Setting the title, legend entries, and axis titles in JavaScript

Detailed examples of Setting the Title, Legend Entries, and Axis Titles including changing color, size, log axes, and more in JavaScript.

Stack Overflow

stackoverflow.com › questions › 70916649 › how-to-change-the-x-axis-and-y-axis-labels-in-plotly

python - How to change the x-axis and y-axis labels in plotly? - Stack Overflow

full code as MWE

import pandas as pd
import io, requests

df = pd.read_csv(
    io.StringIO(
        requests.get(
            "https://raw.githubusercontent.com/owid/covid-19-data/master/public/data/vaccinations/vaccinations.csv"
        ).text
    )
)
df["Date"] = pd.to_datetime(df["date"])
df["Country"] = df["location"]
df["7day_rolling_avg"] = df["daily_people_vaccinated_per_hundred"]

Date = df[df.Country == "India"].Date
New_cases = df[df.Country == "India"]["7day_rolling_avg"]

px.line(df, x=Date, y=New_cases, title="India Daily New Covid Cases").update_layout(
    xaxis_title="Date", yaxis_title="7 day avg"
)

2 of 2

Using the MWE shared, I have provided some improvements that might be helpful. Here, you can update many features including the title of both x and y axis. In addition, you can add traces to produce more user-friendly and interactive graphic.

import pandas as pd
import io, requests
import plotly.graph_objects as go

df = pd.read_csv(
    io.StringIO(
        requests.get(
            "https://raw.githubusercontent.com/owid/covid-19-data/master/public/data/vaccinations/vaccinations.csv"
        ).text
    )
)
df["Date"] = pd.to_datetime(df["date"])
df["Country"] = df["location"]
df["7day_rolling_avg"] = df["daily_people_vaccinated_per_hundred"]

Date = df[df.Country == "India"].Date
New_cases = df[df.Country == "India"]["7day_rolling_avg"]

def updateFigure(fig):
    fig.update_traces(
        texttemplate='%{y:.2f}',
        textposition='top center',
        hovertemplate='Date: %{x}<br>Value: %{y:.2f}<br>',
        marker_line_color= '#800020',
        marker_line_width=1.5,
        opacity=0.8
    )

    fig.update_layout(
        autosize=False,
        width=800,
        height=400,
        template='plotly_dark',
        title=dict(
            text="India Daily New Covid Cases",
            font=dict(size=24, color='#FFFFFF'),
            x=0.5,
            y=0.9
        ),
        xaxis_title=dict(text='Date', font=dict(size=16, color='#FFFFFF')),
        yaxis_title=dict(text='7 day avg', font=dict(size=16, color='#FFFFFF')),
        plot_bgcolor='rgb(50, 50, 50)',
        xaxis=dict(tickfont=dict(size=14, color='#FFFFFF')),
        yaxis=dict(tickfont=dict(size=14, color='#FFFFFF')),
        legend=dict(x=0.1, y=1.1, orientation='h', font=dict(color='#FFFFFF')),
        margin=dict(l=10, r=10, t=100, b=50)
    )

fig = go.Figure(go.Scatter(x=Date, y=New_cases, mode='lines'))
updateFigure(fig)

fig.show()

GitHub

github.com › plotly › plotly.py › labels

Labels · plotly/plotly.py

The interactive graphing library for Python :sparkles: - Labels · plotly/plotly.py

Stack Overflow

stackoverflow.com › questions › 61342459 › how-can-i-add-text-labels-to-a-plotly-scatter-plot-in-python

How can I add text labels to a Plotly scatter plot in Python? - Stack Overflow

Top answer

1 of 1

You can include the text labels in the text attribute. To make sure that they are displayed on the scatter plot, set mode='lines+markers+text'. See the Plotly documentation on text and annotations. I included an example below based on your code.

import plotly.graph_objects as go
import pandas as pd

df = pd.DataFrame({'world_rank': [1, 2, 3, 4, 5],
                   'university_name': ['Harvard', 'MIT', 'Stanford', 'Cambridge', 'Oxford'],
                   'citations': [98.8, 98.7, 97.6, 97.5, 96]})

layout = dict(plot_bgcolor='white',
              margin=dict(t=20, l=20, r=20, b=20),
              xaxis=dict(title='World Rank',
                         range=[0.9, 5.5],
                         linecolor='#d9d9d9',
                         showgrid=False,
                         mirror=True),
              yaxis=dict(title='Citations',
                         range=[95.5, 99.5],
                         linecolor='#d9d9d9',
                         showgrid=False,
                         mirror=True))

data = go.Scatter(x=df['world_rank'],
                  y=df['citations'],
                  text=df['university_name'],
                  textposition='top right',
                  textfont=dict(color='#E58606'),
                  mode='lines+markers+text',
                  marker=dict(color='#5D69B1', size=8),
                  line=dict(color='#52BCA3', width=1, dash='dash'),
                  name='citations')

fig = go.Figure(data=data, layout=layout)

fig.show()

Plotly

plotly.com › python › legend

Legends in Python

import plotly.express as px from plotly import data df = data.gapminder().query("year==2007 and continent == 'Europe'") fig = px.scatter(df, x="gdpPercap", y="lifeExp", color="country", size="pop", size_max=45, title="Life Expectancy vs. GDP per Capita in 2007 (by Country)", labels={"gdpPercap": "GDP per Capita"}, ) fig.update_layout( xaxis=dict( side="top" ), legend=dict( orientation="h", yanchor="bottom", y=-0.35, xanchor="center", x=0.5, maxheight=0.1, # Comment maxheight to see legend take up 0.5 of plotting area title_text="Country" ), ) fig.show()

Plotly

plotly.com › julia › figure-labels

Setting the font, title, legend entries, and axis titles in Julia

When using the plot method with a DataFrame, your axes and legend are automatically labelled, and it's easy to override the automation for a customized figure using the labels keyword argument.

GitHub

github.com › plotly › plotly.py › issues › 4455

y axis labels does not appear in scatter plot when using plotly.express with 2 inputs · Issue #4455 · plotly/plotly.py

December 8, 2023 - import plotly.express as px pxFig = px.line(x=[0,1,2,3],y=[[10,11,12,13],[12,13,14,15]], labels=dict(x='xLabel', y='yLabel'), title='my Title') pxFig.show()

Author: plotly

Retool

community.retool.com › 💬 app building

Plotly is the bane of my existence...is there no easy way to add data labels? - 💬 App Building - Retool Forum