fig,ax=plt.subplots(1,2,figsize=(14,5)) sns.countplot(x='cp',data=data,hue='target',palette='Set3',ax=ax[0]) ax[0].set_xlabel("胸痛类型") data.cp.value_counts().plot.pie(ax=ax[1],autopct='%1.1f%%',explode=[0.01,0.01,0.01,0.01],shadow=True, cmap='Blues') ax[1].set_title("胸痛类型")这段代码有错吗？怎么改

这段代码也有一点小错误，需要在两个地方做出修改。应该将两个代码行分开写，并将第一个代码行的输出作为第二个代码行的输入，如下所示：

import matplotlib.pyplot as plt
import seaborn as sns

# 修改第一行代码
fig, ax = plt.subplots(1, 2, figsize=(14, 5))
sns.countplot(x='cp', data=data, hue='target', palette='Set3', ax=ax[0])
ax[0].set_xlabel("胸痛类型")

# 修改第二行代码
value_counts = data.cp.value_counts()
value_counts.plot.pie(ax=ax[1], autopct='%1.1f%%', explode=[0.01, 0.01, 0.01, 0.01], shadow=True, cmap='Blues')
ax[1].set_title("胸痛类型")

这样就可以正确地绘制胸痛类型的计数图和饼图了。

相关问题

data["Risk_Flag"].value_counts() fig, ax = plt.subplots( figsize = (12,8) ) corr_matrix = data.corr() corr_heatmap = sns.heatmap( corr_matrix, cmap = "flare", annot=True, ax=ax, annot_kws={"size": 14}) plt.show() def categorical_valcount_hist(feature): print(data[feature].value_counts()) fig, ax = plt.subplots( figsize = (6,6) ) sns.countplot(x=feature, ax=ax, data=data) plt.show() print("-----------------------------------3---------------------------------") categorical_valcount_hist("Married/Single") categorical_valcount_hist("House_Ownership") print( "Total categories in STATE:", len( data["STATE"].unique() ) ) print() print( data["STATE"].value_counts() ) print( "Total categories in Profession:", len( data["Profession"].unique() ) ) print() data["Profession"].value_counts() sns.boxplot(x ="Risk_Flag",y="Income" ,data = data) sns.boxplot(x ="Risk_Flag",y="Age" ,data = data) sns.boxplot(x ="Risk_Flag",y="Experience" ,data = data) sns.boxplot(x ="Risk_Flag",y="CURRENT_JOB_YRS" ,data = data) sns.boxplot(x ="Risk_Flag",y="CURRENT_HOUSE_YRS" ,data = data) fig, ax = plt.subplots( figsize = (8,6) ) sns.countplot(x='Car_Ownership', hue='Risk_Flag', ax=ax, data=data) fig, ax = plt.subplots( figsize = (8,6) ) sns.countplot( x='Married/Single', hue='Risk_Flag', data=data ) fig, ax = plt.subplots( figsize = (10,8) ) sns.boxplot(x = "Risk_Flag", y = "CURRENT_JOB_YRS", hue='House_Ownership', data = data)是哪里出现上述错误呢

上述代码中并没有出现明显的错误，因此很难确定错误出现的位置。如果你遇到了错误，可以将错误信息提供给我，我可以帮助你找到错误所在。

不过，需要注意的是，在运行上述代码之前，你需要先导入所需要的Python库，例如pandas、matplotlib和seaborn等。如果你没有导入这些库，那么就会出现类似于“NameError: name 'sns' is not defined”这样的错误。因此，你需要确保在运行上述代码之前已经正确导入了所需要的库。

fig,ax=plt.subplots(figsize=(12,8))

As an AI language model, I cannot display the visualizations. However, the above code creates a figure with a size of 12 inches in width and 8 inches in height using the subplots() function in Matplotlib. This figure can be used to plot various charts and graphs.