Single Plot
import matplotlib.pyplot as plt
fig, ax = plt.subplots(figsize=(8,6))
ax.plot(x, y, color='blue', linestyle='-', label='Label1')
ax.plot(v, w, color='red', linestyle='-', label='Label2') # two plots
ax.set_xlabel('X Label')
ax.set_ylabel('Y Label')
ax.legend() #ax.legend(loc='upper left')
ax.grid(True)
plt.tight_layout()
plt.savefig('name.png')
plt.show()
ax.set_xlim(0,3) # if data has a range
plt.clf() # Clear the current figure Multiple Subplots
# 2 rows, 1 collumn
fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(8,6))
# 1 rows, 2 collumn
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10,4))
Finding Peaks
peak_idx = np.argmax(y_data) # or np.argmin() for valleys
peak_value = data[max_idx]Markers
# Add markers (crosses)
ax.plot(x_pos, y_pos, 'rx', markersize=10, markeredgewidth=2) Plot-Annotations
ax.text(x_pos+5, y_pos+0.1, f'Tm = {temp:.1f}°C',
bbox=dict(boxstyle="round,pad=0.3", facecolor="white", edgecolor="red"))Line styles
'-' # solid line
'--' # dashed line
'-.' # dash-dot line
':' # dotted line
'k-' # black solid
'r--' # red dashed