putting_boxplots_inagrid.py

fig, axes = plt.subplots(5, 3, sharex=True, figsize=(18,40)) # 5 rows  x 3 columns

fig.subplots_adjust(hspace=0.1, wspace=.5) # ensure that the plots do not overlap

fig.suptitle('Insurance claims')

sns.boxplot(ax=axes[0, 0], data=data, x="total_claim_amount", y="state")
sns.boxplot(ax=axes[0, 1], data=data, x="total_claim_amount", y="response")
sns.boxplot(ax=axes[0, 2], data=data, x="total_claim_amount", y="coverage")
sns.boxplot(ax=axes[1, 0], data=data, x="total_claim_amount", y="education")
sns.boxplot(ax=axes[1, 1], data=data, x="total_claim_amount", y="employmentstatus")
sns.boxplot(ax=axes[1, 2], data=data, x="total_claim_amount", y="gender")
sns.boxplot(ax=axes[2, 0], data=data, x="total_claim_amount", y="location_code")
sns.boxplot(ax=axes[2, 1], data=data, x="total_claim_amount", y="marital_status")
sns.boxplot(ax=axes[2, 2], data=data, x="total_claim_amount", y="policy_type")
sns.boxplot(ax=axes[3, 0], data=data, x="total_claim_amount", y="policy")
sns.boxplot(ax=axes[3, 1], data=data, x="total_claim_amount", y="renew_offer_type")
sns.boxplot(ax=axes[3, 2], data=data, x="total_claim_amount", y="renew_offer_type")
sns.boxplot(ax=axes[4, 0], data=data, x="total_claim_amount", y="sales_channel")
sns.boxplot(ax=axes[4, 1], data=data, x="total_claim_amount", y="vehicle_class")
sns.boxplot(ax=axes[4, 2], data=data, x="total_claim_amount", y="vehicle_size")

#Source: https://dev.to/thalesbruno/subplotting-with-matplotlib-and-seaborn-5ei8