smooth_line

This function creates a smooth line chart with optional log scales, grid, and customization options for line styles, colors, and labels.

smooth_line(**kwargs)

Input variables

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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 extension: File extension dots_per_inch: Resolution in dots per inch line_width: List of line widths line_style: List of line styles y_axis_label: y axis label x_axis_label: x axis label labels_size: Labels size labels_color: Labels color x_axis_size: x axis size y_axis_size: y axis size axises_color: Axes color x_limit: x axis limits y_limit: y axis limits chart_color: List of chart colors on_grid: Grid on or off y_log: y log scale x_log: x log scale legend_location: Legend location size_legend: Legend size	Dictionary
dataset	Dataset to plot	List or array

Output variables

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

Example 1

Use the smooth_line function to create a smooth line chart from the dataset.

from easyplot_toolbox.easyplot import smooth_line
import numpy as np

x = np.linspace(0, 10, 100)
curve1 = np.sin(x) + np.random.normal(0, 0.1, len(x))
curve2 = np.sin(x) + np.random.normal(0, 0.1, len(x))
curve3 = np.sin(x) + np.random.normal(0, 0.1, len(x))

df = {
    'x': x,
    'curve1': curve1,
    'curve2': curve2,
    'curve3': curve3
}

# Chart setup
chart_config = {
    'name': 'smooth_line_with_confidence_interval',
    'width': 20,  
    'height': 15, 
    'extension': 'jpg',
    'dots_per_inch': 100,
    'line_width': [2],  
    'line_style': ['-'],  
    'y_axis_label': 'Axis Y',
    'x_axis_label': 'Axis X',
    'labels_size': 12,
    'labels_color': 'black',
    'x_axis_size': 10,
    'y_axis_size': 10,
    'axises_color': 'gray',
    'x_limit': [0, 10],  
    'y_limit': [None, None],  
    'chart_color': ['blue'],  
    'on_grid': True,
    'y_log': False,
    'x_log': False,
    'legend_location': 'best',
    'size_legend': 10,
}

# Call function
smooth_line(dataset=df, plot_setup=chart_config)

Figure 1. Joyplot of the dataset.

Notebook example