Seaborn in Python

You can use the following basic syntax to rotate the axis labels in a plot in seaborn: my_plot.set_xticklabels(my_plot.get_xticklabels(), rotation=45) The following example…

You can use the width argument to change the width of bars in a seaborn bar plot: sns.barplot(x=’xvar’, y=’yvar’, data=df, width=0.8) The…

You can use the following methods to change the order of bars in a seaborn plot: Method 1: Sort Bars in Barplot Created…

You can use the following basic syntax to create a horizontal barplot in seaborn: sns.barplot(x=df.values_var, y=df.group_var, orient=’h’) The orient=’h’ argument tells seaborn…

You can use the following methods to set the color of bars in a seaborn barplot: Method 1: Set Color for All…

You can use the following basic syntax to change the background color of a Seaborn plot in Python: sns.set(rc={‘axes.facecolor’:’lightblue’, ‘figure.facecolor’:’lightgreen’}) The following…

You can use the following basic syntax in seaborn to create a boxplot of multiple columns of a pandas DataFrame: sns.boxplot(x=’variable’, y=’value’,…

You can use the figsize argument to specify the size (in inches) of a seaborn heatmap: #specify size of heatmap fig, ax…

You can use the following methods to plot a normal distribution with the seaborn data visualization library in Python: Method 1: Plot…

A grouped bar plot is a type of chart that uses bars grouped together to visualize the values of multiple variables at…