start

app.py

@@ -138,41 +138,38 @@ if df_cohorts.empty:
 if df_cohorts.empty:
     st.warning("Нет данных для графика: users_by_cohorts и txs_per_day_by_cohorts пустые или невалидные.")
 else:
-    chart_col, debug_col = st.columns([4, 1])
-
-    with chart_col:
-        st.caption("Native chart (always on)")
-        st.area_chart(df_cohorts, x="cohort_day", y="user_count", use_container_width=True)
-
-        try:
-            st.caption("Plotly chart")
-            fig = px.area(df_cohorts, x="cohort_day", y="user_count", template="plotly")
-            st.plotly_chart(fig, use_container_width=True)
-        except Exception as exc:
-            st.warning(f"Plotly не отрисован: {exc}")
-
-        if IS_HF_SPACE:
-            st.caption("HF mode: fallback enabled")
-
-        st.caption("Server-rendered fallback (matplotlib)")
-        mpl_fig, mpl_ax = plt.subplots(figsize=(9, 3.5))
-        mpl_ax.plot(df_cohorts["cohort_day"], df_cohorts["user_count"], linewidth=2)
-        mpl_ax.fill_between(df_cohorts["cohort_day"], df_cohorts["user_count"], alpha=0.25)
-        mpl_ax.set_xlabel("cohort_day")
-        mpl_ax.set_ylabel("user_count")
-        mpl_ax.grid(alpha=0.2)
-        st.pyplot(mpl_fig, use_container_width=True)
-        plt.close(mpl_fig)
-
-    with debug_col:
-        st.caption("Chart debug")
-        st.metric("Rows", len(df_cohorts))
-        st.metric("Min day", int(df_cohorts["cohort_day"].min()))
-        st.metric("Max day", int(df_cohorts["cohort_day"].max()))
+    st.caption("Native chart (always on)")
+    st.area_chart(df_cohorts, x="cohort_day", y="user_count", height=400)
+
+    try:
+        st.caption("Plotly chart")
+        fig = px.area(df_cohorts, x="cohort_day", y="user_count", template="plotly")
+        fig.update_layout(height=400, margin=dict(l=20, r=20, t=20, b=20))
+        st.plotly_chart(fig)
+    except Exception as exc:
+        st.warning(f"Plotly не отрисован: {exc}")
+
+    if IS_HF_SPACE:
+        st.caption("HF mode: fallback enabled")
+
+    st.caption("Server-rendered fallback (matplotlib)")
+    mpl_fig, mpl_ax = plt.subplots(figsize=(9, 4))
+    mpl_ax.plot(df_cohorts["cohort_day"], df_cohorts["user_count"], linewidth=2)
+    mpl_ax.fill_between(df_cohorts["cohort_day"], df_cohorts["user_count"], alpha=0.25)
+    mpl_ax.set_xlabel("cohort_day")
+    mpl_ax.set_ylabel("user_count")
+    mpl_ax.grid(alpha=0.2)
+    st.pyplot(mpl_fig)
+    plt.close(mpl_fig)
+
+    st.caption("Chart debug")
+    st.metric("Rows", len(df_cohorts))
+    st.metric("Min day", int(df_cohorts["cohort_day"].min()))
+    st.metric("Max day", int(df_cohorts["cohort_day"].max()))
 
     # Guaranteed non-visual fallback for environments where JS charts are blocked.
     with st.expander("Chart data preview"):
-        st.dataframe(df_cohorts, use_container_width=True)
+        st.dataframe(df_cohorts, width="stretch")
 
 # Проверка данных внизу
 with st.expander("Raw Data"):