导出清洗后数据集至CSV时触发AttributeError错误求助

错误 AttributeError: 'tuple' object has no attribute 'to_csv' 的根源很明确：
你最初将data_cleaned_dropped定义为Pandas DataFrame对象（通过data_cleaned.drop(columns=columns_to_drop)生成），但后续代码里错误地把它重新赋值为该DataFrame的shape属性——而shape返回的是一个元组（格式为(行数, 列数)），元组不具备to_csv方法，因此触发报错。

问题出在这段代码：

# 此处将原DataFrame变量覆盖为shape元组
data_cleaned_dropped = data_cleaned_dropped.shape

只需避免覆盖原DataFrame变量，将获取维度的操作转移到新变量中即可。修正后的完整代码片段如下：

# Columns to drop based on the missing percentage
columns_to_drop = [
'Nazwa',
'Czas ostatniej modyfikacji',
'Jeżeli pominięto branżę, na której się znasz dopisz ją:',
'Jeżeli jest obszar, na którym się znasz i chcesz go wykorzystać, dopisz go:',
'Masz jakiś pomysł na projekt data? Napisz nam o tym. Jeżeli to nie ten moment, pozostaw puste pole.'
]

# Dropping the specified columns from the cleaned dataset
data_cleaned_dropped = data_cleaned.drop(columns=columns_to_drop)

# Checking the size of the cleaned dataset after dropping columns
dataset_size = data_cleaned_dropped.shape
print("Number of rows:", dataset_size[0])
print("Number of columns:", dataset_size[1])

# Display the first few rows of the updated dataset to confirm the columns are dropped
print(data_cleaned_dropped.head())

# Checking the size of the original dataset
original_dataset_size = data.shape
print("Number of rows:", original_dataset_size[0])
print("Number of columns:", original_dataset_size[1])

# 关键修改：用新变量存储维度信息，不覆盖原DataFrame
new_dataset_size = data_cleaned_dropped.shape
print("New number of rows:", new_dataset_size[0])
print("New number of columns:", new_dataset_size[1])

# Save the cleaned and updated dataset to a CSV file
output_file_path = r'D:\Users\Desktop\ProjektAnalitiks\data\02_Interim\dropped_rows_columns.csv'
data_cleaned_dropped.to_csv(output_file_path, index=False)

print(f"Dataset saved to {output_file_path}")

• 不要随意覆盖存储核心数据集的变量，避免丢失DataFrame对象
• Pandas中DataFrame.shape仅用于获取数据集的维度信息，返回的元组无法执行任何数据导出、清洗等操作

内容的提问来源于stack exchange，提问作者rejent