diff --git a/stat/frequency.py b/stat/frequency.py
index 5633799..b3e185a 100644
--- a/stat/frequency.py
+++ b/stat/frequency.py
@@ -23,19 +23,77 @@ def plot_freq(stats_df: pd.DataFrame, title: str) -> go.Figure:
stats_df, y='Identifier', x='Count', orientation='h', title=title, log_x=True,
labels={'Identifier': 'PGN / CAN ID', 'Count': 'Message Count'},
color='Count', color_continuous_scale='Turbo',
- hover_data={'Percentage': ':.2f', 'Count': True, 'Identifier': True}
+ range_color=(stats_df['Count'].min(), stats_df['Count'].max()),
+ hover_data={'Percentage': ':.2f', 'Count': ':,', 'Identifier': True}
)
fig.update_layout(
- height=max(600, len(stats_df) * 18), width=1000,
- xaxis_title='Total Message Count (Log Scale)', yaxis_title='PGN or CAN ID',
- yaxis={'categoryorder': 'total ascending'},
- plot_bgcolor='rgba(0,0,0,0)', paper_bgcolor='white',
- font=dict(family="Segoe UI, Arial, sans-serif", size=12),
- hoverlabel=dict(bgcolor="white", font_size=13, font_family="Segoe UI"),
- margin=dict(l=250, r=50, t=80, b=50),
- title=dict(font=dict(size=20), x=0.5)
+ height=max(600, len(stats_df) * 18),
+ autosize=True,
+ template='plotly_white',
+ xaxis=dict(
+ title=dict(text="Message count [log scale]", font=dict(size=13, color="#1a1a1a")),
+ side="top",
+ dtick=1,
+ showgrid=False,
+ linecolor="#bdbdbd",
+ tickfont=dict(size=12, color="#2a2a2a"),
+ ticks="outside",
+ ticklen=4,
+ tickcolor="#cccccc",
+ ),
+ yaxis=dict(
+ title=dict(text="PGN or CAN ID", font=dict(size=13, color="#1a1a1a")),
+ #autorange="",
+ showgrid=False,
+ linecolor="#bdbdbd",
+ tickfont=dict(size=12, color="#2a2a2a"),
+ ticks="outside",
+ ticklen=4,
+ tickcolor="#cccccc",
+ automargin=True,
+ ),
+ font=dict(family="Segoe UI, Arial, sans-serif", size=12, color='#2a2a2a'),
+ hoverlabel=dict(bgcolor="white", font_size=13, font_family="Segoe UI",
+ bordercolor='#cccccc'),
+ margin=dict(l=200, r=40, t=120, b=60),
+ bargap=0.35,
+ coloraxis_colorbar=dict(
+ title=dict(text='Message Count', side='top'),
+ orientation='h',
+ thickness=15,
+ len=0.35,
+ x=1.0,
+ xanchor='right',
+ y=1.02,
+ yanchor='bottom',
+ tickformat=',',
+ outlinecolor='#cccccc',
+ outlinewidth=0.5
+ ),
+ title=dict(font=dict(size=20, color='#1a1a1a'), x=0.5, xanchor='center',
+ pad=dict(b=20))
+ )
+ fig.update_xaxes(
+ showgrid=True, gridwidth=0.5, gridcolor='#e8e8e8',
+ zeroline=False, linecolor='#bdbdbd', mirror=False,
+ tickformat=',',
+ minor=dict(showgrid=True, gridcolor='#f4f4f4', gridwidth=0.5)
+ )
+ fig.update_yaxes(
+ showgrid=False, zeroline=False, linecolor='#bdbdbd',
+ ticks='outside', ticklen=4, tickcolor='#cccccc',
+ automargin=True
+ )
+ fig.update_traces(
+ hovertemplate="%{y}
Count: %{x:,}
Share: %{customdata[0]}%",
+ marker_line_width=0,
+ texttemplate='%{x:,}',
+ textposition='outside',
+ textfont=dict(size=10, color='#666666'),
+ cliponaxis=False,
+ selected=dict(marker=dict(opacity=0.6)),
+ unselected=dict(marker=dict(opacity=0.2))
)
- fig.update_traces(hovertemplate="%{y}
Count: %{x:,}
Share: %{customdata[0]}%")
return fig
if __name__ == "__main__":
@@ -48,4 +106,11 @@ if __name__ == "__main__":
df = load_data(args.input)
stats = calc_freq(df)
fig = plot_freq(stats, title=args.title)
- fig.write_html(str(args.output), include_plotlyjs='cdn')
+ config = {
+ 'responsive': True,
+ 'displaylogo': False,
+ 'scrollZoom': True,
+ 'modeBarButtonsToAdd': ['toggleSpikelines'],
+ 'toImageButtonOptions': {'format': 'png', 'scale': 2}
+ }
+ fig.write_html(str(args.output), include_plotlyjs='cdn', config=config)