IIUC，您可以使用globals：

def read_data_into_df(name):
     globals()[f"df_{name}"] = pd.read_csv(f"file_{name}.csv")

如果我是你，我会创建一个字典和键

dictionary = f"df_{name}: {whatever_you_want}"

如果只有几个 Dataframe ，只需接受最小代码重复：

def read_data_into_df(name):
     return pd.read_csv(f"file_{name}.csv")

...

df_ham = read_data_into_df('ham')
df_spam = read_data_into_df('spam')
df_bacon = read_data_into_df('bacon')

...

# Use df_ham, df_spam and df_bacon

如果有很多 Dataframe ，或者生成了精确的 Dataframe ，我会使用字典来跟踪 Dataframe ：

dataframes = {}

def read_data_into_df(name):
     return pd.read_csv(f"file_{name}.csv")

...

for name in ['ham', 'spam', 'bacon']:
    dataframes[name] = read_data_into_df('name')
...

# Use dataframes['ham'], dataframes['spam'] and dataframes['bacon']
# Or iterate over dataframes.values() or dataframes.items()!