histogram_chart

This function shows a Boxplot and Histogram in a single chart.

histogram_chart(**kwargs)

Input variables

Name	Description	Type
plot_setup	Settings for the 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 x_axis_label: x axis label x_axis_size: x axis size y_axis_label: y axis label y_axis_size: y axis size axises_color: Axes color labels_size: Labels size labels_color: Labels color chart_color: Chart color bins: Range representing the width of a single bar	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

We use the histogram_chart function to plot a series of random numbers with normal distribution.

# pip install easyplot-toolbox
# or
# pip install --upgrade easyplot-toolbox 
from easyplot_toolbox import *
# or
# from easyplot_toolbox import histogram_chart

# Data
df = np.random.normal(0, 1, 1000)

# Chart config
chart_config = {
              'name': "histogram_chart",
              'width': 16, 
              'height': 8,
              'extension': 'png',
              'dots_per_inch': 600,
              'x_axis_label': '$x_{i}$ variable',
              'x_axis_size': 25,
              'y_axis_label': 'Frequency',
              'y_axis_size': 12,
              'axises_color': 'red',
              'labels_size': 15,
              'labels_color': '#0E6251', 
              'chart_color': '#581845',
              'bins': 20,
             }

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

Figure 1. Histogram chart

Example 2

We will do the same example shown earlier but using the function inside a looping.

# pip install easyplot-toolbox
# or
# pip install --upgrade easyplot-toolbox 
from easyplot_toolbox import *
# or
# from easyplot_toolbox import histogram_chart

# Data
data = [list(np.random.normal(0, 1, 1000)),
        list(np.random.normal(-5, 2, 1000)),
        list(np.random.normal(10, 1, 1000))]

# Plot in looping
names_and_colors = [['$x_{1}$', '#8C0C15'], 
                    ['$x_{2}$', '#5FD34D'],
                    ['$x_{3}$', '#4DA7D3']]
                    
for i in range(len(names_and_colors)):
    # Chart config
    chart_config = {
                    'name': f"figure_01-{i}_histogram_chart",
                    'extension': 'svg',
                    'width': 16, 
                    'height': 8,
                    'dots_per_inch': 600,
                    'x_axis_label': names_and_colors[i][0],
                    'x_axis_size': 15,
                    'y_axis_label': 'Frequency',
                    'y_axis_size': 15,
                    'axises_color': '#000000',
                    'labels_size': 15,
                    'labels_color': '#000000', 
                    'chart_color': names_and_colors[i][1],
                    'bins': 20,
                    }

    # Call function
    histogram_chart(dataset=data[i], plot_setup=chart_config)

Figure 2. Histogram chart