regplot_chart

This function creates a scatter plot with a regression line using seaborn and matplotlib.

regplot_chart(**kwargs)

Input variables

Name	Description	Type
plot_setup	Setup chart Dictionary with the following keys: name: Path + name of the figure width: Figure width in SI units height: Figure height in SI units marker_size: Size of the scatter plot markers SCATTER color: Color of the scatter plot markers line color: Color of the regression line ORDER: Order of the polynomial regression y_axis_label: y axis label y_axis_size: y axis size x_axis_label: x axis label x_axis_size: x axis size labels_size: Labels size labels_color: Labels color axises_color: Axes color on_grid: Grid on or off y_log: y log scale x_log: x log scale dots_per_inch: The resolution in dots per inch extension: File extension	Dictionary
dataset	Dataset to plot	List or array

Output variables

Name	Description	Type
None	The function displays the plot on the screen and saves it to the local folder of the .ipynb or .py	None

Example 1

Use the regplot_chart function to create a scatter plot with a regression line.

# Data
HEIGHT = list(np.random.normal(165, 10, 2000))
WEIGHT = list(np.random.logistic(50, 4, 2000))
DF =  pd.DataFrame({'x': HEIGHT,
                    'y': WEIGHT,
                   })
    
# Chart setup
CHART_CONFIG = {
        'name': 'figure1-11-1',
        'width': 10,
        'height': 10,
        'marker size': 25,
        'SCATTER color': 'green',
        'line color': 'red',
        'ORDER': 1,
        'x axis label': 'Weight',
        'x axis size': 15,
        'y axis label': 'Height',
        'y axis size': 15,
        'axises color': 'red',
        'labels size': 15,
        'labels color': 'blue',
        'on grid?': False,
        'y log': False,
        'x log': False,
        'dots per inch': 600,
        'extension': 'svg',
    }


# Data statement 
DATA = {'dataset': DF}

# Call function
regplot_chart(dataset=DATA, plot_setup=CHART_CONFIG)

Figure 1. Scatter Plot with Regression Line.

Notebook example