python：逐行打印多个字典和字符串

Question

我有一个包含各种列的数据框，我计算了每一列的 value_counts 并将它们转换为 to_dict。我现在想逐行打印它们，并添加一些描述每个字典的字符串，如下所示：

print( 'Names and counts',
       '\n',
       df['names'].value_counts()[:3].to_dict(),
       '\n',
       'Last names and counts',
       '\n',
       df['last names'].value_counts()[:3].to_dict(),
       'Staff names and counts',
       '\n',
       df['staff_names'].value_counts()[:3].to_dict(),
       '\n',
       'Staff last names and counts',
       '\n',
       df['staff last names'].value_counts()[:3].to_dict())

Current output:
 Names and counts
{"Jack": 20, "John": 10, "Samuel": 9}

 Last names and counts
{"Brown": 25, "Smith": 30, "Jackson": 5}

 Staff names and counts
{"Mars": 22, "Joshua": 20, "Simon": 8}

 Staff last names and counts
{"Bernard": 27, "Kohlen": 16, "Dimun": 7}

所以我希望输出如下所示：

Desired output:

 Names and counts
{"Jack": 20,
 "John": 10,
 "Samuel": 9}

 Last names and counts
{"Brown": 25,
 "Smith": 30,
 "Jackson": 5}

 Staff names and counts
{"Mars": 22,
 "Joshua": 20,
 "Simon": 8}

 Staff last names and counts
{"Bernard": 27,
 "Kohlen": 16,
 "Dimun": 7}

我尝试过使用 pprint() 代替或 print() 但这会引发错误。

我也尝试添加 print(*each dictionary, sep= '\n') 但它只 returns 索引并删除数字（计数）

Answer 1

试试这个，

import json
print( 'Names and counts',
       '\n',
       json.dumps(df['names'].value_counts()[:3].to_dict(),indent=2),
       '\n',
       'Last names and counts',
       '\n',
       json.dumps(df['last names'].value_counts()[:3].to_dict(),indent=2),
       'Staff names and counts',
       '\n',
       json.dumps(df['staff_names'].value_counts()[:3].to_dict(),indent=2),
       '\n',
       'Staff last names and counts',
       '\n',
       json.dumps(df['staff last names'].value_counts()[:3].to_dict(),indent=2)

将缩进参数更改为更大的数字以获得更好的格式..

Note: Tested by Creator and working fine.

Answer 2

使用 json.dumps 和 indent = 字典级别：

for c in df.columns:
    print(f"{c} and counts\n{json.dumps(df[c].value_counts()[:3].to_dict(),indent=2)}")

python：逐行打印多个字典和字符串

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