Seaborn Scatter Plot Increase Marker Size Import seaborn as sns tips sns load dataset tips rp sns relplot data tips x total bill y tip col sex row smoker kind scatter rp is a FacetGrid relplot is a nice organized way to use it rp fig subplots adjust top 0 9 adjust the Figure in rp rp fig suptitle ONE TITLE FOR ALL
Here are some other ways to edit the legend of a seaborn figure as of seaborn 0 13 2 Since the legend here comes from the column passed to hue the easiest method and one that requires the least work imo as mentioned in comments is to add a column to the dataframe and use it as the hue variable Seaborn favors the long format as input The key ingredient to convert your DataFrame from its wide format one column per measurement type into long format one column for all measurement values one column to indicate the type is pandas melt
Seaborn Scatter Plot Increase Marker Size
Seaborn Scatter Plot Increase Marker Size
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Ask questions find answers and collaborate at work with Stack Overflow for Teams Try Teams for free Explore Teams Load dataset is used for seaborn datasets if you want to use your own dataset you should open or read it with Pandas and after it you can use seaborn methods to Draw diagrams and visualization tasks for example in Jupyter Notebook I ve put my own dataset in my local drive and a document in my machine and read it
Seaborn function that operate on a single Axes can take one as an argument For instance the docs to seaborn kdeplot include ax matplotlib axis optional Axis to plot on otherwise uses current axis So if you did df function to load my data fig ax plt subplots You could then do I would like to create a time series plot using seaborn tsplot like in this example from tsplot documentation but with the legend moved to the right outside the figure Based on the lines 339 340 in seaborn s timeseries py it looks like seaborn tsplot currently doesn t allow direct control of legend placement
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Seaborn offers several ways to plot counts each with slightly different count aggregation and Axes handling seaborn countplot most straightforward This automatically aggregates counts and returns an Axes so just directly label ax containers 0 ax sns countplot x User data df ax bar label ax containers 0 seaborn catplot kind count In Seaborn s relplot a FacetGrid object is returned In order to get the legend object we can use legend We can then set the loc and bbox to anchor g sns relplot leg g legend leg set bbox to anchor 0 5 0 5 coordinates of lower left of bounding box leg loc 2 if required you can set the loc
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Import seaborn as sns tips sns load dataset tips rp sns relplot data tips x total bill y tip col sex row smoker kind scatter rp is a FacetGrid relplot is a nice organized way to use it rp fig subplots adjust top 0 9 adjust the Figure in rp rp fig suptitle ONE TITLE FOR ALL
https://stackoverflow.com › questions
Here are some other ways to edit the legend of a seaborn figure as of seaborn 0 13 2 Since the legend here comes from the column passed to hue the easiest method and one that requires the least work imo as mentioned in comments is to add a column to the dataframe and use it as the hue variable
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Seaborn Scatter Plot Increase Marker Size - Seaborn function that operate on a single Axes can take one as an argument For instance the docs to seaborn kdeplot include ax matplotlib axis optional Axis to plot on otherwise uses current axis So if you did df function to load my data fig ax plt subplots You could then do