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from __future__ import annotations
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
def movement_scatter_xy(
df: pd.DataFrame, color="pitch_type", facet_by_handedness=False
):
dfp = df.copy()
if facet_by_handedness:
fig = px.scatter(
dfp,
x="hb_as_in",
y="ivb_in",
color=color,
facet_col="p_throws",
hover_data=[
"player_name",
"pitch_type",
"p_throws",
"velo",
"whiff_rate",
"gb_rate",
"csw",
],
)
else:
fig = px.scatter(
dfp,
x="hb_as_in",
y="ivb_in",
color=color,
hover_data=[
"player_name",
"pitch_type",
"p_throws",
"velo",
"whiff_rate",
"gb_rate",
"csw",
],
)
fig.update_layout(
xaxis_title="Horizontal: Arm-Side (+) | Glove-Side (−)",
yaxis_title="Vertical: Ride (+) | Drop (−)",
legend_title_text=color,
)
fig.add_hline(y=0, line_dash="dot")
fig.add_vline(x=0, line_dash="dot")
return fig
def radar_quality(row: pd.Series):
cats = ["csw", "whiff_rate", "gb_rate", "zone_pct"]
vals = [row[c] for c in cats]
fig = go.Figure(data=go.Scatterpolar(r=vals, theta=cats, fill="toself"))
fig.update_layout(
polar=dict(radialaxis=dict(visible=True, range=[0, 1])), showlegend=False
)
return fig
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