import os
import json
import pandas as pd
from mdvtools.mdvproject import MDVProject
from mdvtools.charts.dot_plot import DotPlot
[docs]
def create_dot_plot(title, params, size, position, colorscale):
"""Create and configure a DotPlot instance with the given parameters."""
plot = DotPlot(
title=title,
params=params,
size=size,
position=position
)
plot.set_color_scale(colorscale)
return plot
[docs]
def load_data(path):
"""Load data from the specified CSV file."""
return pd.read_csv(path, low_memory=False)
[docs]
def convert_plot_to_json(plot):
"""Convert plot data to JSON format."""
return json.loads(json.dumps(plot.plot_data, indent=2).replace("\\\\", ""))
[docs]
def main():
"""Main function to create the project and serve it."""
# Constants
project_path = os.path.expanduser('~/mdv/project')
data_path = '/Users/mariak/Documents/MDVmk/MDV/python/mdvtools/data/data_cells.csv'
view_name = "default"
# Create project
project = MDVProject(project_path, delete_existing=True)
# Load data
data_frame = load_data(data_path)
# Set the correct data type to the "leiden" data source (imports as integer but it should be str to appear as a category)
data_frame['leiden'] = data_frame['leiden'].apply(str)
# Add datasource
project.add_datasource(data_path, data_frame)
# DotPlot parameters
title = "Dot Plot Example"
params = ["leiden", "ARVCF", "DOK3", "FAM210B", "GBGT1", "NFE2L2", "UBE2D4", "YPEL2"]
size = [792, 472]
position = [10, 10]
colorscale = {
'log': False
}
# Create plot
dot_plot = create_dot_plot(title, params, size, position, colorscale)
# Convert plot to JSON and set view
dot_plot_json = convert_plot_to_json(dot_plot)
dotplot_view = {'initialCharts': {data_path: [dot_plot_json]}}
project.set_view(view_name, dotplot_view)
project.set_editable(True)
project.serve()
if __name__ == "__main__":
main()