I want to show the value counts for each unique value of each categorical variable in a data frame, but what I've written isn't working. I'm trying to avoid writing separate lines for each individual column if I can help it. Any help would be very much appreciated!

Here's my data frame:

| Column               | Dtype
| -------------------- | ----------
| checking_balance     | category
| months_loan_duration | int64
| credit_history       | category
| purpose              | category
| amount               | int64
| savings_balance      | category
| employment_duration  | category
| percent_of_income    | int64
| years_at_residence   | int64
| age                  | int64
| other_credit         | category
| housing              | category
| existing_loans_count | int64
| job                  | category
| dependents           | int64
| phone                | category
| default              | category

Here's the code I'm trying to run:

for col in creditData.columns:
    if creditData[col].dtype == 'category':
        print(creditData[col].value_counts())

And here's the output that I'm getting back:

unknown       394
< 0 DM        274
1 - 200 DM    269
> 200 DM       63
Name: checking_balance, dtype: int64

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-14-6a53236835fc> in <module>
      1 for col in creditData.columns: # Loop through all columns in the dataframe
----> 2         if creditData[col].dtype == 'category':
      3                 print(creditData[col].value_counts())

TypeError: data type 'category' not understood