new daily graphs

data/daily_info.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3efc44de285c7f330661d31354843e5c95f89323a04d32774971576bdf049dba
-size 390502
+oid sha256:aa46e26ddf79ae4565e8572d489d377884e071f20eb19ea3c8d99684c2c00548
+size 611323

tabs/daily_graphs.py

@@ -121,6 +121,8 @@ def plot_daily_metrics(
     trades_filtered["trader_market"] = trades_filtered.apply(
         lambda x: (x["trader_type"], x["market_creator"]), axis=1
     )
+
+    all_dates = sorted(trades_filtered["creation_date"].unique())
     fig = px.box(
         trades_filtered,
         x="creation_date",
@@ -150,6 +152,8 @@ def plot_daily_metrics(
     #     if axis.startswith("xaxis"):
     #         fig.layout[axis].update(title="Day")
     fig.update_xaxes(tickformat="%b %d")
+    # Update layout to force x-axis category order (hotfix for a sorting issue)
+    fig.update_layout(xaxis={"categoryorder": "array", "categoryarray": all_dates})
     return gr.Plot(
         value=fig,
     )

tabs/market_plots.py

@@ -6,6 +6,7 @@ from plotly.subplots import make_subplots
 import matplotlib.pyplot as plt
 import seaborn as sns
 from tabs.daily_graphs import color_mapping
+from datetime import datetime
 
 color_mapping = [
     "darkviolet",
@@ -130,7 +131,15 @@ def plot_total_bet_amount_per_trader_per_market(
         .sum()
         .reset_index(name="total_bet_amount")
     )
-
+    # Convert string dates to datetime and sort them
+    all_dates_dt = sorted(
+        [
+            datetime.strptime(date, "%b-%d")
+            for date in total_bet_amount["month_year_week"].unique()
+        ]
+    )
+    # Convert back to string format
+    all_dates = [date.strftime("%b-%d") for date in all_dates_dt]
     fig = px.box(
         total_bet_amount,
         x="month_year_week",
@@ -162,6 +171,8 @@ def plot_total_bet_amount_per_trader_per_market(
     #     if axis.startswith("xaxis"):
     #         fig.layout[axis].update(title="Week")
     fig.update_xaxes(tickformat="%b %d\n%Y")
+    # Update layout to force x-axis category order (hotfix for a sorting issue)
+    fig.update_layout(xaxis={"categoryorder": "array", "categoryarray": all_dates})
     return gr.Plot(
         value=fig,
     )

tabs/trader_plots.py

@@ -2,6 +2,7 @@ import gradio as gr
 import pandas as pd
 import plotly.express as px
 from tabs.market_plots import color_mapping
+from datetime import datetime
 
 trader_metric_choices = [
     "mech calls",
@@ -80,7 +81,15 @@ def plot_trader_metrics_by_market_creator(
         yaxis_title = "Total gross profit per trader (xDAI)"
 
     traders_filtered = traders_df[["month_year_week", "market_creator", column_name]]
-
+    # Convert string dates to datetime and sort them
+    all_dates_dt = sorted(
+        [
+            datetime.strptime(date, "%b-%d")
+            for date in traders_filtered["month_year_week"].unique()
+        ]
+    )
+    # Convert back to string format
+    all_dates = [date.strftime("%b-%d") for date in all_dates_dt]
     fig = px.box(
         traders_filtered,
         x="month_year_week",
@@ -96,6 +105,8 @@ def plot_trader_metrics_by_market_creator(
         legend=dict(yanchor="top", y=0.5),
     )
     fig.update_xaxes(tickformat="%b %d\n%Y")
+    # Update layout to force x-axis category order (hotfix for a sorting issue)
+    fig.update_layout(xaxis={"categoryorder": "array", "categoryarray": all_dates})
 
     return gr.Plot(
         value=fig,
@@ -198,6 +209,15 @@ def plot_total_bet_amount(
         .sum()
         .reset_index(name="total_bet_amount")
     )
+    # Convert string dates to datetime and sort them
+    all_dates_dt = sorted(
+        [
+            datetime.strptime(date, "%b-%d")
+            for date in total_bet_amount["month_year_week"].unique()
+        ]
+    )
+    # Convert back to string format
+    all_dates = [date.strftime("%b-%d") for date in all_dates_dt]
     total_bet_amount["trader_market"] = total_bet_amount.apply(
         lambda x: (x["trader_type"], x["market_creator"]), axis=1
     )
@@ -245,6 +265,8 @@ def plot_total_bet_amount(
     #     if axis.startswith("xaxis"):
     #         fig.layout[axis].update(title="Week")
     fig.update_xaxes(tickformat="%b %d")
+    # Update layout to force x-axis category order (hotfix for a sorting issue)
+    fig.update_layout(xaxis={"categoryorder": "array", "categoryarray": all_dates})
     return gr.Plot(
         value=fig,
     )