Merge files using strategies

2024-06-26 12:00:21 +02:00
parent 9da6e2d594
commit 01ef19a2f8
4 changed files with 97 additions and 105 deletions
--- a/frontend/pages/clustering.py
+++ b/frontend/pages/clustering.py
@@ -0,0 +1,48 @@
+import streamlit as st
+import matplotlib.pyplot as plt
+from clusters import DBSCANCluster, KMeansCluster, CLUSTERING_STRATEGIES
+
+st.header("Clustering")
+
+if "data" in st.session_state:
+    data = st.session_state.data
+
+    general_row = st.columns([1, 1])
+    clustering = general_row[0].selectbox("Clustering method", CLUSTERING_STRATEGIES)
+    data_name = general_row[1].multiselect("Data Name",data.select_dtypes(include="number").columns, max_selections=3)
+
+    with st.form("cluster_form"):
+        if isinstance(clustering, KMeansCluster):
+            row1 = st.columns([1, 1, 1])
+            clustering.n_clusters = row1[0].number_input("Number of clusters", min_value=1, max_value=data.shape[0], value=clustering.n_clusters)
+            clustering.n_init = row1[1].number_input("n_init", min_value=1, value=clustering.n_init)
+            clustering.max_iter = row1[2].number_input("max_iter", min_value=1, value=clustering.max_iter)
+        elif isinstance(clustering, DBSCANCluster):
+            clustering.eps = st.slider("eps", min_value=0.0001, max_value=1.0, step=0.1, value=clustering.eps)
+            clustering.min_samples = st.number_input("min_samples", min_value=1, value=clustering.min_samples)
+
+        st.form_submit_button("Launch")
+
+    if len(data_name) >= 2 and len(data_name) <=3:
+        x = data[data_name].to_numpy()
+
+        result = clustering.run(x)
+
+        st.table(result.statistics)
+
+        fig = plt.figure()
+        if len(data_name) == 2:
+            ax = fig.add_subplot(projection='rectilinear')
+            plt.scatter(x[:, 0], x[:, 1], c=result.labels, s=50, cmap="viridis")
+            if result.centers is not None:
+                plt.scatter(result.centers[:, 0], result.centers[:, 1], c="black", s=200, marker="X")
+        else:
+            ax = fig.add_subplot(projection='3d')
+
+            ax.scatter(x[:, 0], x[:, 1],x[:, 2], c=result.labels, s=50, cmap="viridis")
+            if result.centers is not None:
+                ax.scatter(result.centers[:, 0], result.centers[:, 1], result.centers[:, 2], c="black", s=200, marker="X")
+        st.pyplot(fig)
+
+else:
+    st.error("file not loaded")