Prompt Detail:
Here's a cheatsheet for Seaborn:
Importing Seaborn
pythonimport seaborn as sns
Loading built-in datasets
pythontips = sns.load_dataset("tips")
iris = sns.load_dataset("iris")
Plotting with Seaborn
python# scatterplot
sns.scatterplot(x="x-axis-data", y="y-axis-data", data=dataframe)
# lineplot
sns.lineplot(x="x-axis-data", y="y-axis-data", data=dataframe)
# barplot
sns.barplot(x="x-axis-data", y="y-axis-data", data=dataframe)
# countplot
sns.countplot(x="x-axis-data", data=dataframe)
# boxplot
sns.boxplot(x="x-axis-data", y="y-axis-data", data=dataframe)
# violinplot
sns.violinplot(x="x-axis-data", y="y-axis-data", data=dataframe)
# heatmap
sns.heatmap(dataframe.corr())
Customizing Plots
python# setting plot style
sns.set_style("whitegrid")
# setting plot size
sns.set(rc={"figure.figsize":(8,6)})
# setting title and axis labels
sns.set_title("Title of Plot")
sns.set_xlabel("X-axis Label")
sns.set_ylabel("Y-axis Label")
# setting color palette
sns.color_palette("pastel")
# adding a legend
sns.legend(title="Legend Title")
This cheatsheet covers some of the most commonly used Seaborn functions and customization options. However, Seaborn offers a wide range of other functions and customization options that can be explored in the official Seaborn documentation.
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