add 3d plot to bdscan

cluster3d
Bastien OLLIER 10 months ago
parent 52cb140746
commit e48c3bfa50

@ -9,21 +9,27 @@ if "data" in st.session_state:
data = st.session_state.data data = st.session_state.data
with st.form("my_form"): with st.form("my_form"):
data_name = st.multiselect("Data Name", data.select_dtypes(include="number").columns, max_selections=2) data_name = st.multiselect("Data Name", data.select_dtypes(include="number").columns, max_selections=3)
eps = st.slider("eps", min_value=0.0, max_value=1.0, value=0.5, step=0.01) eps = st.slider("eps", min_value=0.0, max_value=1.0, value=0.5, step=0.01)
min_samples = st.number_input("min_samples", step=1, min_value=1, value=5) min_samples = st.number_input("min_samples", step=1, min_value=1, value=5)
st.form_submit_button("launch") st.form_submit_button("launch")
if len(data_name) == 2: if len(data_name) >= 2 and len(data_name) <=3:
x = data[data_name].to_numpy() x = data[data_name].to_numpy()
dbscan = DBSCAN(eps=eps, min_samples=min_samples) dbscan = DBSCAN(eps=eps, min_samples=min_samples)
y_dbscan = dbscan.fit_predict(x) y_dbscan = dbscan.fit_predict(x)
fig = plt.figure()
fig, ax = plt.subplots(figsize=(12,8)) if len(data_name) == 2:
plt.scatter(x[:, 0], x[:, 1], c=y_dbscan, s=50, cmap="viridis") ax = fig.add_subplot(projection='rectilinear')
plt.scatter(x[:, 0], x[:, 1], c=y_dbscan, s=50, cmap="viridis")
else:
ax = fig.add_subplot(projection='3d')
ax.scatter(x[:, 0], x[:, 1],x[:, 2], c=y_dbscan, s=50, cmap="viridis")
st.pyplot(fig) st.pyplot(fig)
else: else:
st.error("file not loaded") st.error("file not loaded")
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