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. The bubble chart in Plotly is created using the scatter plot. It can be created using the scatter method of plotly.
A bubble chart is a data visualization which helps to displays multiple circles bubbles in a two-dimensional plot as same in scatter plot. A bubble chart is primarily used to depict and show relationships between numeric variables. Marker size and color are used to control the overall size of the marker.
Marker size helps to maintain the color inside the bubble in the graph. Scatter is used to actually scale the marker sizes and color based on data. To scale the bubble size,use the parameter sizeref. To calculate the values of sizeref use:. The color scale is a specialized label which helps to displays a color map with its scale, the color scale is used to display a color palette and its numerical scale for color mapped.
Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I am currently trying to change the sizes of the Bubbles for Plotly's bubble map manually.
I was successful in changing the colors of the map using the data provided but I am unable to use the same logic to change the size. Do you think it is possible to change the sizes rather than using the formula in this case sqrt to claim the sizes?
If you want the size to correspond to a quartile then this works and there are any number of variations on this that you could do to make the size more analytically meaningful :. Learn more. Asked 4 years, 1 month ago. Active 3 years, 3 months ago. Viewed 1k times.
Are you trying to format the size according to some variable, are you trying to reduce or increase the size of all bubbles, etc. CyrusMohammadian Hi, Thank you for the response. I am trying to change the sizes of the bubble based on my own metrics. Hopefully that clarifies things. I was hoping to change the sizes of the bubbles without going through the process of finding the optimal size and hopefully hard code it.
For example, if the population data were to be raised to the power of two, then I would have to take the fourth root of the population to obtain the same portion of the bubble size. Active Oldest Votes.
Hack-R Hack-R Hi, Thank you! This is what I was hoping to do. Thank you once again for the second save before with the Choropleth Map. In case you are curious, the reason why I want to hard code this is because I am hoping to use DBSCAN to find clustered areas and then map a single point as a larger and darker bubble to see if all the points that is clustered fall under that large circle As you also asked a question regarding k-means clustering, I thought it would be interesting to note that as well.
Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. Post as a guest Name. Email Required, but never shown. The Overflow Blog. Podcast Ben answers his first question on Stack Overflow. The Overflow Bugs vs. Featured on Meta. Responding to the Lavender Letter and commitments moving forward. Linked Related The plot in the above gif can be found at the bottom of my website.
My website is best accessed with a laptop rather than a mobile device. I also made another tutorial on how I created another interactive plotly graph and website using dash here. All the code and data I used to create this map can found on my Github. I will be assuming that you have some knowledge of python, pandas, and plotly. Let's go through the steps I went through to create this beautiful map:. One thing to note about the code snippets is you might have to change the directory the data files are located in before running the code.
Ok, let's get started! Step 1 is pretty self-explanatory but it will be nice to see what all 4 data frames that I loaded in look like. Merge related data frames together and clean. A few things to note about the above code:. Format data to be input into the plotly graph with groupby. Ok, so this is where it gets a little complicated. I need to group by month, county, long, lat, and FIPS then get the max case count.
This will give me a data frame that has the total case count for each county for each month. The data frame is shown below.
Bubble Maps in Python
Create graph using plotly. The plotting of this graph takes quite a lot of coding and understanding of plotly so I will go over it in chunks. First, we will start with the base figure that has all the counties in Texas mapped. To do this we use the plotly.
Then specify that we want to use the geojson library to map the counties using the FIPS column from our df. Plotly has great documentation on this here. If we just plotted this with fig. Ok, here comes the hardest part. First, we create a colors list that has the colors we want to use for each month. Next comes the for loop which loops through 4 times, for each month. For each month, it plots a bubble for each county based on the location using the plotly.
Scattergeo function. You will notice that the lon and lat variables are switched but that is because the data I imported had this problem.Geographic Choropleth Maps in Python Using Plotly - Pandas - Tutorial 38 in Jupyter Notebook
Maps can be exported and standalong html files, or be embeded in a R markdown file or a shiny application. Check the 3 examples below to get the basics of interactive bubble maps with R. Learn how to add a marker on a map with leaflet. Circle, rectangle, pointer and more. Link it to tooltip.
Lear to map the marker size to a numeric value, resulting in a bubble map. You can add tags to marker and build an interactive legend that allows to toggle their visibility. Leaflet maps are interactive. Try to zoom and drag the map below. Hover a circle to get more information about it. See Code. It offers all the flexibility of the grammar of graphic, and allow to re-use all the knowledge you learned building other types of chart with it. If you don't know about ggplot2, read this introduction.
Make your bubble map pretty: legend, backgroud, color palette and more. Map a numeric variable to circle size and color to get your first bubble map with ggplot2 and R. The plotly package provides the magic ggplotly function. This function will turn any of your static bubble map made with ggplot2 interactive.
Below is the code which I tried for USA.
In a similar way I just want to draw India's map with hovering values. Like your example choropleth, let's plot the current number of active COVID cases per state as of July 17 this comes from indiacovid Luckily, datameet provides an up-to-date shapefile for India's states which I simplified a bit to reduce the size and converted to GeoJSON using mapshaperthen flipped the polygon winding using geojson-rewind.
Now, as detailed in the Plotly documentationwe can use plotly express to quickly make a choropleth map with our data:.
Note : I could not manage to do it in plotly, but I can do it easily in Bokeh. The OP asked specifically for plotly but still I am posting this answer to show how can be done someother way. As mentioned in the code comments above, you can add the case information to the states in the datamodel and set it to hovertool.
This way when you hover over sates you will see the case count. In fact you can just add what ever info you want to the states inside the datamodel and use the datamodel to render them. Learn more. Ask Question. Asked 6 months ago. Active 2 months ago. Viewed 1k times. Yatin 1, 1 1 gold badge 8 8 silver badges 30 30 bronze badges. Does this possibly help? David Wierichs - it should.
I have been able to plot scatterplots for Germany with it. Here is also a link to the documentation on plotly.
Bubble Maps in R
Thanks borisdonchev, I'll try looking at the link. I think folium is the best choice in case you want maps. Active Oldest Votes. Now, as detailed in the Plotly documentationwe can use plotly express to quickly make a choropleth map with our data: import pandas as pd import plotly.
Josh Brobst Josh Brobst 1, 6 6 silver badges 13 13 bronze badges.
Here is a plotly "bubble" map i. However, the legend only shows the color categories, but does not show how size relates to value. This question shows how to control the size of markers, but does not answer how to show these sizes in the legend. In this and this questions, we can see that if each category has only a single marker size associated with it, then the legend will show markers scaled to the size they are in the bubble plot.
But that does not help here. The plotly website has examples of bubble charts and bubble mapsbut none of these have a size legend.
The examples above use the R api, but answers using another plotly api such as python will also be acceptable. I had already linked to the question in my original post and explained why it was different. The linked question relates to someone who was suffering from having the different bubble sizes shown in the legend which happened because they have only one size per category in their data. In contrast, the categories in this example each have bubbles of varying sizes.
The OP in the linked question wanted to know how to get rid of the different sizes in the legend - not how to map a value to size in the legend. The answers in the linked question give workarounds of various quality to achieve that. But, in this question I already have a legend in which markers are all the same size. What I want is to add a legend which shows bubbles of a range of sizes each labeled with the value to which that size corresponds. After seeing a few comments on the question suggesting that this can't be done, I had another go a it myself, and here is one approach that works pretty nicely.
Learn more. Asked 2 years, 10 months ago. Active 2 years, 9 months ago. Viewed 4k times. Edit: Why this is not a duplicate of this question I had already linked to the question in my original post and explained why it was different.
It may not be easy to achieve. Possible duplicate of R plotly version 4. I even linked to that question explaining why it was not a dup.A bubble chart is a scatter plot in which a third dimension of the data is shown through the size of markers.
For other types of scatter plot, see the line and scatter page.
Bubble Charts in Python
We first show a bubble chart example using Plotly Express. Plotly Express is the easy-to-use, high-level interface to Plotly, which operates on a variety of types of data and produces easy-to-style figures. The size of markers is set from the dataframe column given as the size parameter. If Plotly Express does not provide a good starting point, it is also possible to use the more generic go. Scatter class from plotly. To scale the bubble size, use the attribute sizeref.
Black Lives Matter. Please consider donating to Black Girls Code today. Bubble chart with plotly. Bubble Chart with plotly. What About Dash? Figure or any Plotly Express function e. Dash app. Div [ dcc.