避免在 Python forloop 中覆盖数据集

Question

price
date            price      fruit
2010-01-04    0.83        banana
2010-01-04    0.05         apple

For each fruit, how could you keep if that fruit ==True, and then drop the fruit column temporarily when dealing with that particular fruit?

listxx = [(price, "price")]
fruits = ['apple', 'banana', 'pear']

for fruit in fruits:
    for x, y in listxx:
            x[x['fruit'] == fruit]
            x.drop(['fruit'], axis=1, inplace=True)

Currently, when I get to banana, the fruit column is already deleted because of apple.

When iterating over banana, the price dataset should look be:

date          price     
2010-01-04    0.83     

When iterating over apple, the price dataset should look be:

date            price    
2010-01-04    0.05       

Answer 1

I need the price dataset to temporarily remove firm column and keep if fruit = that fruit. Then go back to the original dataset for the next fruit to do the same.

Practically speaking, this means making a new dataset with the filtered data. We'll give it a separate name, so that we can i) actually refer to the result from checking the rows, and ii) drop the columns from that result, instead of the original result.

We'll also put some effort into naming things in a way that makes it easy to understand what's what.

tables_and_names = [(price, "price")]
fruits = ['apple', 'banana', 'pear']

for fruit in fruits:
    for table, name in tables_and_names:
        filtered_table = table[table['fruit'] == fruit]
        filtered_table.drop(['fruit'], axis=1, inplace=True)
        # now we can do more logic with the filtered_table