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how to object oriented subploting in python

Sleepy Scarab answered on August 8, 2022 Popularity 1/10 Helpfulness 1/10

answer how to object oriented subploting in python

how to object oriented subploting in python

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fig, ax = plt.subplots(figsize=(20,12), nrows=2,ncols=2)

# chol and thalach
scatter_1 = ax[0,0].scatter(x=over_50["thalach"],
                       y=over_50["chol"],
                       c=over_50["target"])

ax[0,0].set(title="Heart Rate and Cholesteral Levels",
       xlabel="Max Heart Rate Achieved",
       ylabel="Cholesterol")

ax[0,0].legend(*scatter_1.legend_elements(),title="Target")

ax[0,0].axhline(y=over_50["chol"].mean(),color='b',linestyle="--")
ax[0,0].axvline(x=over_50["thalach"].mean(), color='g', linestyle="--");


# chol and age
scatter_1 = ax[0,1].scatter(x=over_50["age"],
                       y=over_50["chol"],
                       c=over_50["target"])

ax[0,1].set(title="Heart Disease and Cholesteral Levels",
       xlabel="Age",
       ylabel="Cholesterol")

ax[0,1].legend(*scatter_1.legend_elements(),title="Target")

ax[0,1].axhline(y=over_50["chol"].mean(),color='b',linestyle="--")
ax[0,1].axvline(x=over_50["age"].mean(), color='g', linestyle="--");


# chol and oldpeak
scatter_1 = ax[1,0].scatter(x=over_50["oldpeak"],
                       y=over_50["chol"],
                       c=over_50["target"])

ax[1,0].set(title="Asymptomatic Chest Pain and Cholesteral Levels",
       xlabel="Asymptomatic Chest Pain",
       ylabel="Cholesterol")

ax[1,0].legend(*scatter_1.legend_elements(),title="Target")

ax[1,0].axhline(y=over_50["chol"].mean(),color='b',linestyle="--")
ax[1,0].axvline(x=over_50["oldpeak"].mean(), color='g', linestyle="--");


# chol and trestbps
scatter_1 = ax[1,1].scatter(x=over_50["trestbps"],
                       y=over_50["chol"],
                       c=over_50["target"])

ax[1,1].set(title="Resting Blood Pressure  and Cholesteral Levels",
       xlabel="trestbps",
       ylabel="Cholesterol")

ax[1,1].legend(*scatter_1.legend_elements(),title="Target")

ax[1,1].axhline(y=over_50["chol"].mean(),color='b',linestyle="--")
ax[1,1].axvline(x=over_50["trestbps"].mean(), color='g', linestyle="--");

Popularity 1/10 Helpfulness 1/10 Language python

Source: Grepper

Tags: object python

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Contributed on Aug 08 2022

Sleepy Scarab

0 Answers Avg Quality 2/10

how to object oriented subploting in python

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