Upload 2 files

app.py

@@ -0,0 +1,77 @@
+
+import streamlit as st
+import pandas as pd
+
+
+import seaborn as sns
+import matplotlib.pyplot as plt
+
+# Apply the default theme and activate color codes
+sns.set_theme()
+sns.set(color_codes=True)
+
+################### import dataset
+penguins = sns.load_dataset("penguins")
+
+########### set the title and subtitle
+st.title("Differences between penguins")
+
+st.subheader("My flipper is longer!!!")
+########## we add image
+st.image("https://raw.githubusercontent.com/allisonhorst/palmerpenguins/main/man/figures/lter_penguins.png")
+############## we create filters for our interactive plot
+with st.sidebar:
+    st.subheader("Filters")
+
+    all_species = sorted(penguins["species"].dropna().unique().tolist())
+    selected_species = st.multiselect(
+        "Species to show",
+        options=all_species,
+        default=all_species,
+    )
+
+    feature_options = {
+        "Flipper length (mm)": "flipper_length_mm",
+        "Bill length (mm)": "bill_length_mm",
+        "Bill depth (mm)": "bill_depth_mm",
+        "Body mass (g)": "body_mass_g",
+    }
+    feature_label = st.selectbox("Feature (x-axis)", list(feature_options.keys()))
+    x_col = feature_options[feature_label]
+
+    # KDE options
+    fill = st.checkbox("Shade area", value=True)
+    bw_adjust = st.slider("Smoothing (bw_adjust)", 0.2, 2.0, 1.0, 0.1)
+    common_norm = st.checkbox("Normalize across species", value=False)
+
+if not selected_species:
+    st.info("Select at least one species to display the plot.")
+else:
+    # Filter the data
+    data = penguins[penguins["species"].isin(selected_species)].dropna(subset=[x_col, "bill_length_mm"])
+
+    # Plot using the selected x-axis
+    g = sns.relplot(
+        data=data,
+        x=x_col,                # dynamic x-axis
+        y="bill_length_mm",     # you could also make y selectable similarly
+        kind="scatter",
+        hue="species"
+    )
+
+    fig = g.fig if hasattr(g, "fig") else g.figure
+    st.pyplot(fig)
+    plt.close(fig)
+
+########  add button to save image
+from io import BytesIO
+
+buf = BytesIO()
+fig.savefig(buf, format="png", dpi=200, bbox_inches="tight") 
+buf.seek(0)
+st.download_button(
+    "Save image",
+    data=buf,
+    file_name=f"penguins_{x_col}.png",
+    mime="image/png",
+)

requirements.txt

@@ -0,0 +1,7 @@
+streamlit==1.36.0
+pandas==2.2.2
+altair==5.3.0
+pyarrow==16.1.0
+duckdb==1.0.0
+polars==1.5.0
+numpy==1.26.4