scatter-styling.py 2.0 KB

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  1. # Copyright 2021-2024 Avaiga Private Limited
  2. #
  3. # Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
  4. # the License. You may obtain a copy of the License at
  5. #
  6. # http://www.apache.org/licenses/LICENSE-2.0
  7. #
  8. # Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
  9. # an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
  10. # specific language governing permissions and limitations under the License.
  11. # -----------------------------------------------------------------------------------------
  12. # To execute this script, make sure that the taipy-gui package is installed in your
  13. # Python environment and run:
  14. # python <script>
  15. # You may need to install the scikit-learn package as well.
  16. # -----------------------------------------------------------------------------------------
  17. import numpy as np
  18. import pandas as pd
  19. from sklearn.datasets import make_classification
  20. from taipy.gui import Gui
  21. if __name__ == "__main__":
  22. # Let scikit-learn generate a random 2-class classification problem
  23. n_samples = 100
  24. features, label = make_classification(n_samples=n_samples, n_features=2, n_informative=2, n_redundant=0)
  25. random_data = pd.DataFrame({"x": features[:, 0], "y": features[:, 1], "label": label})
  26. data_x = random_data["x"]
  27. class_A = [random_data.loc[i, "y"] if random_data.loc[i, "label"] == 0 else np.nan for i in range(n_samples)]
  28. class_B = [random_data.loc[i, "y"] if random_data.loc[i, "label"] == 1 else np.nan for i in range(n_samples)]
  29. data = {"x": random_data["x"], "Class A": class_A, "Class B": class_B}
  30. marker_A = {"symbol": "circle-open", "size": 16}
  31. marker_B = {"symbol": "triangle-up-dot", "size": 20, "opacity": 0.7}
  32. page = """
  33. # Scatter - Styling
  34. <|{data}|chart|mode=markers|x=x|y[1]=Class A|y[2]=Class B|width=60%|marker[1]={marker_A}|marker[2]={marker_B}|>
  35. """
  36. Gui(page).run()