dynamic graph

ratios.py

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+import pandas as pd
+import plotly.express as px
+import plotly.graph_objects as go
+
+# Read the CSV file into a Pandas DataFrame
+file_path = "texts_by_period_and_location_saparated_by_periods_in_columns.csv"
+df = pd.read_csv(file_path)
+
+# Define the columns to summarize
+columns_to_summarize = ["ancient", "old", "middle", "new", "late"]
+
+# Group the data by the "place" column and calculate sums within each group
+grouped = df.groupby("place")[columns_to_summarize].sum().reset_index()
+
+# Create a bar chart using Plotly
+fig = go.Figure()
+
+# Add a bar trace for each category
+for col in columns_to_summarize:
+    fig.add_trace(go.Bar(x=grouped["place"], y=grouped[col], name=col))
+
+# Customize the layout
+fig.update_layout(
+    title="Summary of Categories by Place with Filtering",
+    xaxis_title="Place",
+    yaxis_title="Total Count",
+    xaxis=dict(categoryorder='total descending'),
+    barmode='group'
+)
+
+# Show the interactive graph
+fig.show()