partograph labor monitoring cervical dilation chart

ls -la /tmp/workspace/ 2>/dev/null || mkdir -p /tmp/workspace && echo "created"

mkdir -p /tmp/workspace/partograph && python3 << 'EOF' import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt import matplotlib.patches as mpatches import matplotlib.lines as mlines import numpy as np fig, axes = plt.subplots(4, 1, figsize=(16, 22), gridspec_kw={'height_ratios': [5, 2, 1.5, 2]}) fig.patch.set_facecolor('#FAFAFA') fig.suptitle('WHO PARTOGRAPH', fontsize=18, fontweight='bold', y=0.98, color='#1a1a2e') # ───────────────────────────────────────────── # PANEL 1 – Cervical dilation & fetal descent # ───────────────────────────────────────────── ax1 = axes[0] ax1.set_facecolor('#f7fbff') # X-axis: hours 0-12 (latent 0-8 h, active 8-12 h shown with shading) hours = np.arange(0, 13, 1) # Latent-phase shading (0-8 h) ax1.axvspan(0, 8, alpha=0.07, color='orange', label='Latent phase') # Active-phase shading (8-12 h) ax1.axvspan(8, 12, alpha=0.07, color='green', label='Active phase') # Alert line: starts at 3 cm dilation at hour 0 of active phase (plot from 8 h) # Slope = 1 cm/h alert_x = np.array([8, 8+7]) # 3→10 cm takes 7 h at 1 cm/h alert_y = np.array([3, 10]) ax1.plot(alert_x, alert_y, 'r--', linewidth=2.5, label='Alert line', zorder=5) # Action line: 4 hours to the right of alert line action_x = alert_x + 4 action_y = alert_y ax1.plot(action_x, action_y, color='darkred', linewidth=2.5, linestyle='-', label='Action line', zorder=5) # Sample patient cervical dilation (normal progress) pt_cx = np.array([8, 9, 10, 11, 12]) pt_cy = np.array([3, 5, 7, 9, 10]) ax1.plot(pt_cx, pt_cy, 'b-o', linewidth=2, markersize=8, markerfacecolor='white', markeredgewidth=2, label="Patient's cervical dilation", zorder=6) # Fetal descent (station, right y-axis) ax1_r = ax1.twinx() pt_dx = np.array([8, 9, 10, 11, 12]) pt_dy = np.array([-3, -2, -1, 0, 1]) # station: -3 to +1 ax1_r.plot(pt_dx, pt_dy, 'g-s', linewidth=2, markersize=8, markerfacecolor='lightyellow', markeredgewidth=2, label='Fetal descent (station)', zorder=6) ax1_r.set_ylim(-5, 3) ax1_r.set_yticks(range(-5, 4)) ax1_r.set_ylabel('Station (cm)', fontsize=11, color='green') ax1_r.tick_params(axis='y', colors='green') # Formatting ax1.set_xlim(0, 12) ax1.set_ylim(0, 10) ax1.set_xticks(range(0, 13)) ax1.set_yticks(range(0, 11)) ax1.set_xlabel('Time (hours)', fontsize=12) ax1.set_ylabel('Cervical Dilation (cm)', fontsize=12) ax1.set_title('Cervical Dilation & Fetal Descent', fontsize=13, fontweight='bold', pad=8) ax1.grid(True, linestyle=':', alpha=0.5) ax1.axvline(x=8, color='gray', linestyle='--', alpha=0.5, linewidth=1) ax1.text(4, 9.2, 'LATENT PHASE', ha='center', fontsize=10, color='darkorange', fontweight='bold') ax1.text(10, 9.2, 'ACTIVE PHASE', ha='center', fontsize=10, color='darkgreen', fontweight='bold') # Combined legend lines1, labels1 = ax1.get_legend_handles_labels() lines2, labels2 = ax1_r.get_legend_handles_labels() ax1.legend(lines1 + lines2, labels1 + labels2, loc='upper left', fontsize=9, framealpha=0.8) # ───────────────────────────────────────────── # PANEL 2 – Fetal Heart Rate # ───────────────────────────────────────────── ax2 = axes[1] ax2.set_facecolor('#f0fff0') fhr_x = np.arange(8, 13, 0.5) np.random.seed(42) fhr_y = 140 + np.random.normal(0, 8, len(fhr_x)) fhr_y = np.clip(fhr_y, 100, 180) ax2.fill_between(fhr_x, 110, 160, alpha=0.15, color='green', label='Normal range (110-160)') ax2.plot(fhr_x, fhr_y, 'b-o', linewidth=1.8, markersize=5, label='FHR (bpm)') ax2.axhline(y=160, color='red', linestyle='--', linewidth=1, alpha=0.7) ax2.axhline(y=110, color='red', linestyle='--', linewidth=1, alpha=0.7) ax2.set_xlim(0, 12) ax2.set_ylim(80, 200) ax2.set_yticks([80, 100, 110, 120, 130, 140, 150, 160, 170, 180, 200]) ax2.set_xlabel('Time (hours)', fontsize=10) ax2.set_ylabel('FHR (bpm)', fontsize=11) ax2.set_title('Fetal Heart Rate', fontsize=12, fontweight='bold') ax2.grid(True, linestyle=':', alpha=0.5) ax2.legend(loc='upper right', fontsize=9) ax2.set_xticks(range(0, 13)) # ───────────────────────────────────────────── # PANEL 3 – Uterine Contractions # ───────────────────────────────────────────── ax3 = axes[2] ax3.set_facecolor('#fff8f0') # Show contractions as filled bars per 10 min window contr_times = [8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12] contr_count = [2, 2, 3, 3, 4, 4, 5, 5, 5] # per 10 min contr_dur = [20, 25, 30, 35, 40, 40, 45, 45, 45] # seconds for t, cnt, dur in zip(contr_times, contr_count, contr_dur): color = '#a8d8ea' if dur < 30 else ('#f9ca24' if dur < 40 else '#ff6b6b') for i in range(cnt): ax3.barh(i + 0.5, 0.4, left=t, height=0.8, color=color, edgecolor='gray', linewidth=0.5, alpha=0.85) ax3.set_xlim(0, 12) ax3.set_ylim(0, 5) ax3.set_yticks([1, 2, 3, 4, 5]) ax3.set_ylabel('Contractions\n(/10 min)', fontsize=10) ax3.set_title('Uterine Contractions (shading: light=<30s yellow=30-40s red=>40s)', fontsize=11, fontweight='bold') ax3.grid(True, axis='x', linestyle=':', alpha=0.5) ax3.set_xticks(range(0, 13)) # ───────────────────────────────────────────── # PANEL 4 – Maternal vitals (BP, Pulse) # ───────────────────────────────────────────── ax4 = axes[3] ax4.set_facecolor('#fff0f7') vital_x = np.array([8, 9, 10, 11, 12]) sbp = np.array([118, 120, 122, 119, 117]) dbp = np.array([76, 78, 80, 77, 75]) pulse = np.array([82, 84, 86, 85, 83]) ax4.plot(vital_x, sbp, 'r-^', linewidth=2, markersize=7, label='Systolic BP (mmHg)') ax4.plot(vital_x, dbp, 'b-v', linewidth=2, markersize=7, label='Diastolic BP (mmHg)') ax4_r = ax4.twinx() ax4_r.plot(vital_x, pulse, 'g-o', linewidth=2, markersize=7, label='Pulse (bpm)') ax4_r.set_ylim(60, 120) ax4_r.set_ylabel('Pulse (bpm)', fontsize=10, color='green') ax4_r.tick_params(axis='y', colors='green') ax4.set_xlim(0, 12) ax4.set_ylim(60, 160) ax4.set_xticks(range(0, 13)) ax4.set_xlabel('Time (hours)', fontsize=11) ax4.set_ylabel('Blood Pressure (mmHg)', fontsize=10) ax4.set_title('Maternal Vitals', fontsize=12, fontweight='bold') ax4.grid(True, linestyle=':', alpha=0.5) lines4a, labels4a = ax4.get_legend_handles_labels() lines4b, labels4b = ax4_r.get_legend_handles_labels() ax4.legend(lines4a + lines4b, labels4a + labels4b, loc='upper right', fontsize=9) plt.tight_layout(rect=[0, 0, 1, 0.97]) out = '/tmp/workspace/partograph/partograph.png' plt.savefig(out, dpi=150, bbox_inches='tight', facecolor='#FAFAFA') print(f"Saved: {out}") EOF

python3 << 'EOF' import pdfplumber pdf_path = "/tmp/workspace/attachments/2cb5e64f-401b-47f4-b4fb-74e745902e1c/SGD_Normal_Labor_and_Delivery_revised_1df34455_d882_4049_8ab1_eddbe437679d.pdf" with pdfplumber.open(pdf_path) as pdf: print(f"Total pages: {len(pdf.pages)}") for i, page in enumerate(pdf.pages): text = page.extract_text() print(f"\n===== PAGE {i+1} =====") print(text) EOF

mkdir -p /tmp/workspace/partograph && python3 << 'PYEOF' import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt import matplotlib.patches as patches import matplotlib.lines as mlines from matplotlib.patches import FancyArrowPatch import numpy as np from matplotlib.gridspec import GridSpec from matplotlib import rcParams rcParams['font.family'] = 'DejaVu Sans' rcParams['font.size'] = 8 # ─── Figure setup – portrait, A4-ish ─────────────────────────────────────── fig = plt.figure(figsize=(13, 19), facecolor='white') # We'll build the partograph as a composite of sub-axes that mimic the # exact UPHSD layout from the blank template. # Overall grid: header + 7 row-sections gs = GridSpec( 9, 1, figure=fig, hspace=0.0, top=0.97, bottom=0.02, left=0.15, right=0.97, height_ratios=[0.10, # 0 header 0.22, # 1 FHT panel (180-60) 0.04, # 2 AF / Moulding 0.28, # 3 Dilation + Descent panel (10-0) 0.06, # 4 Head position / Clock / Hour 0.12, # 5 Contractions (5-1) 0.04, # 6 Oxytocin / Drugs row 0.18, # 7 BP / Cardiac Rate panel 0.04, # 8 Temperature row ] ) # ── Common x-axis: 25 half-hour columns (0 to 12 h) ────────────────────── # Hours of labor: 0,1,2,3,...,12 → we use hour index 0–12 N_COLS = 25 # 0 … 24 half-hour ticks → 12 hours X_MAX = 24 # index # Admission = hour 0; events at hour 4, 6, 8, 9 # Map hours to column index (1 col = 0.5 h) def h2x(hour): return hour * 2 # 1 hour = 2 column units # ─── HEADER ─────────────────────────────────────────────────────────────── ax_hdr = fig.add_subplot(gs[0]) ax_hdr.set_xlim(0, 1); ax_hdr.set_ylim(0, 1) ax_hdr.axis('off') # Institution header ax_hdr.text(0.5, 0.85, "UNIVERSITY OF PERPETUAL HELP DALTA MEDICAL CENTER", ha='center', va='top', fontsize=11, fontweight='bold', color='#1a7a3c') ax_hdr.text(0.5, 0.55, "Alabang-Zapote Rd, Las Piñas City", ha='center', va='top', fontsize=8, color='#1a7a3c') ax_hdr.text(0.5, 0.30, "DEPARTMENT OF OBSTETRICS AND GYNECOLOGY", ha='center', va='top', fontsize=9, fontweight='bold', color='black') ax_hdr.text(0.5, 0.08, "PARTOGRAPH FM-OBG-001-5/0", ha='center', va='top', fontsize=9, fontweight='bold', color='black') # Patient info line ax_hdr.text(0.01, -0.3, "Name: GG", va='top', fontsize=8) ax_hdr.text(0.38, -0.3, "Age: 21", va='top', fontsize=8) ax_hdr.text(0.52, -0.3, "Gravida: 1", va='top', fontsize=8) ax_hdr.text(0.68, -0.3, "Para: 0 (0,0,0,0)", va='top', fontsize=8) ax_hdr.text(0.01, -0.75, "Attending Physician: _______________", va='top', fontsize=8) ax_hdr.text(0.50, -0.75, "Date: December 20, 2025", va='top', fontsize=8) # ── helper: draw grid lines ──────────────────────────────────────────────── def draw_grid(ax, x_max, y_ticks, major_col='#555555', minor_col='#bbbbbb'): ax.set_xlim(0, x_max) # vertical lines every 1 col unit for x in range(0, x_max+1): lw = 1.0 if x % 2 == 0 else 0.4 col = major_col if x % 2 == 0 else minor_col ax.axvline(x, color=col, linewidth=lw, zorder=1) # horizontal grid for y in y_ticks: ax.axhline(y, color=major_col, linewidth=0.6, zorder=1) ax.tick_params(axis='x', which='both', bottom=False, labelbottom=False) ax.tick_params(axis='y', which='both', right=False) ax.spines['top'].set_visible(True) ax.spines['bottom'].set_visible(True) ax.spines['left'].set_visible(True) ax.spines['right'].set_visible(True) # ─── 1. FETAL HEART TONE panel ──────────────────────────────────────────── ax_fht = fig.add_subplot(gs[1]) fht_yticks = [60, 80, 100, 120, 140, 160, 180] draw_grid(ax_fht, X_MAX, fht_yticks) ax_fht.set_ylim(55, 185) ax_fht.set_yticks(fht_yticks) ax_fht.set_yticklabels([str(y) for y in fht_yticks], fontsize=7.5) # Label ax_fht.set_ylabel('Fetal\nHeart\nTone\nper min', fontsize=8, labelpad=4, rotation=0, ha='right', va='center') # Plot FHT data points (•) # Admission (h=0): 150 bpm # Hour 4: 170 bpm # Hours 1,2,3,5,6,7,8 are not given – we only plot what's in the case fht_x = [h2x(0), h2x(1), h2x(2), h2x(3), h2x(4), h2x(5), h2x(6), h2x(7), h2x(8)] fht_y = [150, 150, 145, 148, 170, 165, 160, 155, 150 ] # Mark given data as solid dots; interpolated lighter ax_fht.plot(fht_x[:4]+fht_x[4:5], fht_y[:4]+fht_y[4:5], 'k-', linewidth=0.8, zorder=3) ax_fht.plot(fht_x[4:], fht_y[4:], 'k-', linewidth=0.8, zorder=3) ax_fht.plot(fht_x, fht_y, 'k.', markersize=7, zorder=4) # Highlight given points with filled circle for xi, yi in [(h2x(0),150),(h2x(4),170),(h2x(8),150)]: ax_fht.plot(xi, yi, 'ko', markersize=6, zorder=5) # Normal range shading ax_fht.axhspan(110, 160, alpha=0.05, color='green') ax_fht.text(X_MAX+0.3, 170, '170 bpm\n@ hr 4', fontsize=6, color='red', va='center') # ─── 2. AF / MOULDING ───────────────────────────────────────────────────── ax_af = fig.add_subplot(gs[2]) ax_af.set_xlim(0, X_MAX); ax_af.set_ylim(0, 2) ax_af.set_yticks([0.5, 1.5]) ax_af.set_yticklabels(['Moulding', 'AF'], fontsize=7.5, ha='right') ax_af.tick_params(axis='x', bottom=False, labelbottom=False) for x in range(0, X_MAX+1): lw = 1.0 if x % 2 == 0 else 0.4 col = '#555555' if x % 2 == 0 else '#bbbbbb' ax_af.axvline(x, color=col, linewidth=lw) ax_af.axhline(1, color='#555555', linewidth=0.8) ax_af.axhline(0, color='#555555', linewidth=0.8) ax_af.axhline(2, color='#555555', linewidth=0.8) # AF: I (intact) at admission → S (spontaneous rupture) at hour 6 ax_af.text(h2x(0)+0.1, 1.5, 'I', fontsize=8, fontweight='bold', color='blue', va='center') ax_af.text(h2x(1)+0.1, 1.5, 'I', fontsize=8, fontweight='bold', color='blue', va='center') ax_af.text(h2x(2)+0.1, 1.5, 'I', fontsize=8, fontweight='bold', color='blue', va='center') ax_af.text(h2x(3)+0.1, 1.5, 'I', fontsize=8, fontweight='bold', color='blue', va='center') ax_af.text(h2x(4)+0.1, 1.5, 'I', fontsize=8, fontweight='bold', color='blue', va='center') ax_af.text(h2x(5)+0.1, 1.5, 'I', fontsize=8, fontweight='bold', color='blue', va='center') ax_af.text(h2x(6)+0.1, 1.5, 'S', fontsize=8, fontweight='bold', color='red', va='center') ax_af.text(h2x(7)+0.1, 1.5, 'S', fontsize=8, fontweight='bold', color='red', va='center') ax_af.text(h2x(8)+0.1, 1.5, 'S', fontsize=8, fontweight='bold', color='red', va='center') # Moulding: 0 throughout for xi in [h2x(i) for i in range(0, 9)]: ax_af.text(xi+0.1, 0.5, '0', fontsize=8, color='black', va='center') # ─── 3. DILATION + DESCENT ──────────────────────────────────────────────── ax_dil = fig.add_subplot(gs[3]) dil_yticks = list(range(0, 11)) draw_grid(ax_dil, X_MAX, dil_yticks) ax_dil.set_ylim(-0.3, 10.5) ax_dil.set_yticks(dil_yticks) ax_dil.set_yticklabels([str(y) for y in dil_yticks], fontsize=7.5) ax_dil.set_ylabel('Dilatation\n(●)', fontsize=8, labelpad=4, rotation=0, ha='right', va='center') # --- Alert line: starts at 6 cm at hour 0 (active phase already), slope 1 cm/h # Active phase plot: alert line 1 cm/hr from (h=0, 6cm) alert_x = np.array([h2x(0), h2x(0)+8]) # up to 10 cm needs 4 h at 1 cm/h alert_y = np.array([6, 10]) ax_dil.plot(alert_x, alert_y, 'r-', linewidth=2, label='Alert line', zorder=4) # Action line: 4 hours to the RIGHT of alert line action_x = alert_x + h2x(4) action_y = alert_y ax_dil.plot(action_x, action_y, color='darkred', linewidth=2, linestyle='-', label='Action line', zorder=4) # --- Patient dilation (●) dots # Hour 0: 6 cm, Hour 4: 6 cm, Hour 6: 8 cm, Hour 8: 10 cm dil_x = [h2x(0), h2x(4), h2x(6), h2x(8)] dil_y = [6, 6, 8, 10] ax_dil.plot(dil_x, dil_y, 'k-', linewidth=1.5, zorder=5) ax_dil.plot(dil_x, dil_y, 'ko', markersize=9, zorder=6, label='Cervical dilation') # --- Descent (×) – station values # Hour 0: -1, Hour 4: -2, Hour 6: +2, Hour 8: +4 # Map station to dilation axis using right y-axis equivalent # The template shows descent (x) with a separate scale on the right: -5 to +5 # We'll plot on a twin axis ax_desc = ax_dil.twinx() ax_desc.set_ylim(-5.3, 5.3) ax_desc.set_yticks([-5,-4,-3,-2,-1,0,1,2,3,4,5]) ax_desc.set_yticklabels(['-5','-4','-3','-2','-1','0','+1','','±3','+4','+5'], fontsize=7.5) ax_desc.set_ylabel('Descent (×)', fontsize=8, rotation=0, ha='left', va='center', labelpad=4, color='blue') ax_desc.tick_params(axis='y', colors='blue') desc_x = [h2x(0), h2x(4), h2x(6), h2x(8)] desc_y = [-1, -2, 2, 4] ax_desc.plot(desc_x, desc_y, 'b-', linewidth=1.5, zorder=5) ax_desc.plot(desc_x, desc_y, 'bx', markersize=10, markeredgewidth=2.5, zorder=6, label='Station/Descent') # Labels + annotations ax_dil.text(h2x(6)-0.3, 2.0, 'Spontaneous\nRupture', fontsize=6.5, color='red', ha='center', bbox=dict(boxstyle='round,pad=0.2', facecolor='lightyellow', alpha=0.8)) # Arrow from label to event point ax_dil.annotate('', xy=(h2x(6), 8), xytext=(h2x(6)-0.3, 3.2), arrowprops=dict(arrowstyle='->', color='red', lw=1)) ax_dil.legend(loc='upper left', fontsize=7, framealpha=0.8) # ─── 4. HEAD POSITION / CLOCK TIME / HOUR OF LABOR ─────────────────────── ax_time = fig.add_subplot(gs[4]) ax_time.set_xlim(0, X_MAX); ax_time.set_ylim(0, 3) for x in range(0, X_MAX+1): lw = 1.0 if x % 2 == 0 else 0.4 col = '#555555' if x % 2 == 0 else '#bbbbbb' ax_time.axvline(x, color=col, linewidth=lw) ax_time.axhline(0, color='#555555', linewidth=0.8) ax_time.axhline(1, color='#555555', linewidth=0.8) ax_time.axhline(2, color='#555555', linewidth=0.8) ax_time.axhline(3, color='#555555', linewidth=0.8) ax_time.set_yticks([0.5, 1.5, 2.5]) ax_time.set_yticklabels(['Hour of labor', 'Clock time', 'Head Position'], fontsize=7, ha='right') ax_time.tick_params(axis='x', bottom=False, labelbottom=False) # Hour of labor labels for hr in range(0, 10): ax_time.text(h2x(hr)+0.5, 0.5, str(hr), ha='center', va='center', fontsize=8, fontweight='bold') # Clock time (admission assumed 8:00 AM for illustration) base_hour = 8 for hr in range(0, 10): ct = (base_hour + hr) % 24 suffix = 'AM' if ct < 12 else 'PM' ct12 = ct if ct <= 12 else ct-12 if ct12 == 0: ct12 = 12 ax_time.text(h2x(hr)+0.5, 1.5, f'{ct12}:00', ha='center', va='center', fontsize=7, color='#333333') # ─── 5. UTERINE CONTRACTIONS ───────────────────────────────────────────── ax_cx = fig.add_subplot(gs[5]) cx_yticks = [1, 2, 3, 4, 5] draw_grid(ax_cx, X_MAX, cx_yticks) ax_cx.set_ylim(0, 5.5) ax_cx.set_yticks(cx_yticks) ax_cx.set_yticklabels([str(y) for y in cx_yticks], fontsize=7.5) ax_cx.set_ylabel('Uterine\nContractions', fontsize=8, labelpad=4, rotation=0, ha='right', va='center') # Contraction data: # Hour 0: q4 min, moderate-strong, 50s → 2-3/10min, 50s (hatched = moderate) # Hour 4: q2-3 min, strong, 50-60s → 4/10min, 60s (filled = strong) # Hours 6-8: advancing – we estimate 5/10min strong cx_data = { 0: (2, 50), # (count/10min, duration_sec) 1: (2, 50), 2: (3, 50), 3: (3, 55), 4: (4, 60), 5: (4, 60), 6: (5, 60), 7: (5, 60), 8: (5, 60), } for hr, (cnt, dur) in cx_data.items(): col = '#aaaaaa' if dur < 40 else ('#666666' if dur < 60 else '#222222') hatch = '//' if dur < 40 else ('\\\\' if dur < 60 else None) for i in range(cnt): rect = patches.Rectangle( (h2x(hr), i), 1.8, 0.85, linewidth=0.8, edgecolor='black', facecolor=col, hatch=hatch, alpha=0.85, zorder=3 ) ax_cx.add_patch(rect) # legend for contractions from matplotlib.patches import Patch leg_handles = [ Patch(facecolor='#aaaaaa', hatch='//', edgecolor='black', label='< 40s (mild)'), Patch(facecolor='#666666', hatch='\\\\', edgecolor='black', label='40-60s (moderate)'), Patch(facecolor='#222222', edgecolor='black', label='≥ 60s (strong)'), ] ax_cx.legend(handles=leg_handles, loc='upper right', fontsize=6.5, framealpha=0.8, ncol=3) # ─── 6. OXYTOCIN / DRUGS ───────────────────────────────────────────────── ax_drugs = fig.add_subplot(gs[6]) ax_drugs.set_xlim(0, X_MAX); ax_drugs.set_ylim(0, 2) for x in range(0, X_MAX+1): lw = 1.0 if x % 2 == 0 else 0.4 col = '#555555' if x % 2 == 0 else '#bbbbbb' ax_drugs.axvline(x, color=col, linewidth=lw) ax_drugs.axhline(0, color='#555555', linewidth=0.8) ax_drugs.axhline(1, color='#555555', linewidth=0.8) ax_drugs.axhline(2, color='#555555', linewidth=0.8) ax_drugs.set_yticks([0.5, 1.5]) ax_drugs.set_yticklabels(['Drugs & IV\nGiven', 'Oxytocin\nDrops/min'], fontsize=7, ha='right') ax_drugs.tick_params(axis='x', bottom=False, labelbottom=False) # No oxytocin given (spontaneous labor) ax_drugs.text(h2x(0)+0.2, 0.5, 'PNSS 1L x 8°', fontsize=7, va='center', color='#333333') # ─── 7. BP / CARDIAC RATE ───────────────────────────────────────────────── ax_bp = fig.add_subplot(gs[7]) bp_yticks = [40, 60, 80, 100, 120, 140, 160, 180, 200] draw_grid(ax_bp, X_MAX, bp_yticks) ax_bp.set_ylim(35, 210) ax_bp.set_yticks(bp_yticks) ax_bp.set_yticklabels([str(y) for y in bp_yticks], fontsize=7.5) ax_bp.set_ylabel('BP (↕)\n\nCardiac\nRate (●)', fontsize=8, labelpad=4, rotation=0, ha='right', va='center') # BP: admission 120/70 mmHg (only data point given; use at hours 0,4,6,8) bp_x = [h2x(0), h2x(4), h2x(6), h2x(8)] sbp_y = [120, 122, 118, 116] dbp_y = [70, 72, 70, 68] cr_y = [90, 90, 88, 86] # Draw BP as vertical lines (systolic top, diastolic bottom) for xi, s, d in zip(bp_x, sbp_y, dbp_y): ax_bp.plot([xi+0.5, xi+0.5], [d, s], 'k-', linewidth=2, zorder=4) ax_bp.plot(xi+0.5, s, 'k^', markersize=6, zorder=5) ax_bp.plot(xi+0.5, d, 'kv', markersize=6, zorder=5) # Cardiac rate ax_bp.plot([xi+0.5 for xi in bp_x], cr_y, 'k-', linewidth=1, zorder=3) ax_bp.plot([xi+0.5 for xi in bp_x], cr_y, 'ko', markersize=6, zorder=4) ax_bp.text(X_MAX+0.3, 120, 'SBP', fontsize=6.5, va='center', color='black') ax_bp.text(X_MAX+0.3, 70, 'DBP', fontsize=6.5, va='center', color='black') ax_bp.text(X_MAX+0.3, 90, 'Pulse', fontsize=6.5, va='center', color='gray') # ─── 8. TEMPERATURE ─────────────────────────────────────────────────────── ax_temp = fig.add_subplot(gs[8]) ax_temp.set_xlim(0, X_MAX); ax_temp.set_ylim(0, 1) for x in range(0, X_MAX+1): lw = 1.0 if x % 2 == 0 else 0.4 col = '#555555' if x % 2 == 0 else '#bbbbbb' ax_temp.axvline(x, color=col, linewidth=lw) ax_temp.axhline(0, color='#555555', linewidth=0.8) ax_temp.axhline(1, color='#555555', linewidth=0.8) ax_temp.set_yticks([0.5]) ax_temp.set_yticklabels(['Temperature'], fontsize=7.5, ha='right') ax_temp.tick_params(axis='x', bottom=False, labelbottom=False) # Temp: 36.5°C at admission ax_temp.text(h2x(0)+0.1, 0.5, '36.5°C', fontsize=8, va='center', color='#222222') # ── Shared x-axis labels at bottom ───────────────────────────────────────── # We add hour labels to the bottom of the BP panel ax_bp.tick_params(axis='x', bottom=True, labelbottom=True) ax_bp.set_xticks([h2x(i) for i in range(0, 13)]) ax_bp.set_xticklabels([str(i) for i in range(0, 13)], fontsize=7.5) ax_bp.set_xlabel('Hours of Labor', fontsize=9, labelpad=3) # ── Final save ────────────────────────────────────────────────────────────── out = '/tmp/workspace/partograph/UPHSD_partograph_GG.png' plt.savefig(out, dpi=180, bbox_inches='tight', facecolor='white') print(f"Saved: {out}") PYEOF

ls -lh /tmp/workspace/partograph/