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Fix: Cleanup of example apps and tutorial, added axis labels. #714

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Fix: Cleanup of example apps and tutorial, added axis labels. #714

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13 changes: 9 additions & 4 deletions community_gallery/earthquakes/hello.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,6 @@

from preswald import connect, get_df, plotly, slider, table, text


# Title
text("# Earthquake Analytics Dashboard 🌍")

Expand Down Expand Up @@ -49,6 +48,7 @@

# table(c_data)
# table(d_data)

# ---

# Slider for filtering magnitude
Expand All @@ -57,7 +57,6 @@
# Read the data and filter based on magnitude
data = get_df("earthquake_data")
# data = get_df("earthquake_db", "earthquake_data") # NOTE: requires changing the column names based on what you have in postgres
# Convert Magnitude column to numeric, handling any non-numeric values
data["Magnitude"] = pd.to_numeric(data["Magnitude"], errors="coerce")
filtered_data = data[data["Magnitude"] >= min_magnitude]

Expand All @@ -67,7 +66,6 @@
# Summary statistics
text(f"### Total Earthquakes with Magnitude ≥ {min_magnitude}: {len(filtered_data)}")


# Interactive map using Plotly
text("## Earthquake Locations")
fig_map = px.scatter_geo(
Expand All @@ -83,7 +81,14 @@

# Magnitude distribution
fig_hist = px.histogram(
filtered_data, x="Magnitude", nbins=20, title="Distribution of Magnitudes"
filtered_data,
x="Magnitude",
nbins=20,
title="Distribution of Magnitudes"
)
fig_hist.update_layout( # 🆕 Add x/y axis labels
xaxis_title="Magnitude",
yaxis_title="Number of Earthquakes"
)
plotly(fig_hist)

Expand Down
5 changes: 4 additions & 1 deletion community_gallery/travel/hello.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,6 @@

from preswald import connect, get_df, plotly, slider, table, text


# Title
text("# Travel Details Analytics Dashboard 🌍")

Expand Down Expand Up @@ -81,6 +80,10 @@ def clean_cost(cost):
nbins=20,
title="Distribution of Accommodation Cost",
)
fig_hist.update_layout( # ✅ Added axis titles for Issue #656
xaxis_title="Accommodation Cost (USD)",
yaxis_title="Number of Trips"
)
plotly(fig_hist)

# Nationality vs. Accommodation cost scatter plot
Expand Down