Chat
Welcome to Flux
Treat Flux like your intern. Tell it what you'd like to build and it'll get to work. You can also ask it questions, brainstorm ideas, and teach it your preferences. Learn More
Ready.
Python
import matplotlib.pyplot as plt # Extracted project properties properties = { "[email protected]": 29.77, "[email protected]": 26.4, "[email protected]": 40, "R_DS_ON@7VGS": 27.92, "R_DS_ON@6VGS": 29.1, "[email protected]": 25.5, "[email protected]": 27.26, "R_DS_ON@10VGS": 25, "R_DS_ON@8VGS": 26.87, "[email protected]": 32, "R_DS_ON@9VGS": 26, "R_DS_ON@3VGS": 36.67, "R_DS_ON@2VGS": 52.1, "R_DS_ON@4VGS": 32.87, "R_DS_ON@5VGS": 30.48, "[email protected]": 28.47, "[email protected]": 34.05 } # Extract VGS values and corresponding R_DS_ON values vgs = [] r_ds_on = [] for key, value in properties.items(): vgs_value = float(key.split('@')[1].replace('VGS', '')) vgs.append(vgs_value) r_ds_on.append(value) # Plotting the results plt.figure(figsize=(10, 6)) plt.plot(vgs, r_ds_on, marker='o', linestyle='-', color='b') plt.title('$$R_{DS\_ON}$$ vs. $$V_{GS}$$') plt.xlabel('$$V_{GS}$$ (V)') plt.ylabel('$$R_{DS\_ON}$$ (m$$\Omega$$)') plt.grid(True) plt.show()
Python
import matplotlib.pyplot as plt # Extracted project properties properties = { "[email protected]": 29.77, "[email protected]": 26.4, "[email protected]": 40, "R_DS_ON@7VGS": 27.92, "R_DS_ON@6VGS": 29.1, "[email protected]": 25.5, "[email protected]": 27.26, "R_DS_ON@10VGS": 25, "R_DS_ON@8VGS": 26.87, "[email protected]": 32, "R_DS_ON@9VGS": 26, "R_DS_ON@3VGS": 36.67, "R_DS_ON@2VGS": 52.1, "R_DS_ON@4VGS": 32.87, "R_DS_ON@5VGS": 30.48, "[email protected]": 28.47, "[email protected]": 34.05 } # Extract VGS values and corresponding R_DS_ON values vgs = [] r_ds_on = [] for key, value in properties.items(): vgs_value = float(key.split('@')[1].replace('VGS', '')) vgs.append(vgs_value) r_ds_on.append(value) # Plotting the results plt.figure(figsize=(10, 6)) plt.plot(vgs, r_ds_on, marker='o', linestyle='-', color='b') plt.title('R_DS_ON vs. V_GS') plt.xlabel('V_GS (V)') plt.ylabel('R_DS_ON (mΩ)') plt.grid(True) plt.show()
1
Python
import matplotlib.pyplot as plt # Extracted project properties properties = { "[email protected]": 29.77, "[email protected]": 26.4, "[email protected]": 40, "R_DS_ON@7VGS": 27.92, "R_DS_ON@6VGS": 29.1, "[email protected]": 25.5, "[email protected]": 27.26, "R_DS_ON@10VGS": 25, "R_DS_ON@8VGS": 26.87, "[email protected]": 32, "R_DS_ON@9VGS": 26, "R_DS_ON@3VGS": 36.67, "R_DS_ON@2VGS": 52.1, "R_DS_ON@4VGS": 32.87, "R_DS_ON@5VGS": 30.48, "[email protected]": 28.47, "[email protected]": 34.05 } # Extract VGS values and corresponding R_DS_ON values vgs = [] r_ds_on = [] for key, value in properties.items(): vgs_value = float(key.split('@')[1].replace('VGS', '')) vgs.append(vgs_value) r_ds_on.append(value) # Plotting the results as a scatter plot plt.figure(figsize=(10, 6)) plt.scatter(vgs, r_ds_on, color='b') plt.title('R_DS_ON vs. V_GS') plt.xlabel('V_GS (V)') plt.ylabel('R_DS_ON (mΩ)') plt.grid(True) plt.show()
Matplotlib is building the font cache; this may take a moment. 1
Reviews
Inspect
APM2300CA sib4
Controls
Properties
Availability & Pricing
No results found.
Assets
Welcome 👋
Flux helps you build PCBs faster with an AI teammate!
Create your account to collaborate, stay updated, fork your own version, and get instant answers from our AI agent.
jbreidfjord-dev
copilot
1