Seaborn Catplot is throwing error: truth value is ambiguous - pandas

Question

I am trying to do a catplot using seaborn library for all the categorical variables in my dataframe but I ma getting error for ambiguous truth value. It generally happens with "&" value but I am unable to get the root cause here. My target is continuous variable.
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
target = df[target_col]
features = df[df.columns.difference([target_col])]
cat_cols = features.select_dtypes(include=['object']).columns.to_list()
fig, axes = plt.subplots(round(len(cat_cols) / 3), 3, figsize=(15, 15))
for i, ax in enumerate(fig.axes):
if i < len(cat_cols):
sns.catplot(x=cat_cols[i], y=target, kind='bar',data=df, ax = ax)
But I am getting the below error. Which part is causing this value error?
ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

Answer 1

sns.catplot is a grid level plot, so you should not slot it into a subplot. You can use a facetgrid with barplot:
For example this is your data:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = pd.DataFrame({'y':np.random.uniform(0,1,50),'A':np.random.choice(['a1','a2'],50),
'B':np.random.choice(['b1','b2'],50),'C':np.random.randint(0,10,50),
'D':np.random.choice(['d1','d2'],50),'E':np.random.choice(['e1','e2'],50)})
target_col = "y"
cat_cols = df.columns[df.dtypes==object]
seaborn works better with long format, so you can pivot your data long like this:
df.melt(id_vars=target_col,value_vars=cat_cols)
y variable value
0 0.606734 A a1
1 0.603324 A a2
2 0.938280 A a2
3 0.718703 A a1
4 0.808013 A a1
The column variable now defines the facet to plot and the x-axis is your value. We call this directly:
g = sns.FacetGrid(df.melt(id_vars=target_col,value_vars=cat_cols),
col='variable', sharex=False,col_wrap=3)
g.map_dataframe(sns.barplot, x="value", y="y")