对于带有 pandas 数据帧的 f 字符串循环

Question

我需要尝试创建两个循环（必须分开）：

每个水果的循环 1)：

如果该水果为 True，则保留行
删除具有重复日期的行（可以删除任何一行）
将上述结果保存为每个水果的数据框

LOOP 2) 对于创建的每个数据框，图表日期在 fruit_score:

    concat   apple_score  banana_score       date        apple      banana  
1   apple     0.400         0.400        2010-02-12      True        False  
2   banana    0.530         0.300        2010-01-12      False       True   
3   kiwi      0.532          0.200       2010-03-03      False       False  
4   bana      0.634         0.100        2010-03-03      False       True

我试过了：

fruits = ['apple',  'banana',   'orange']
for fruit in fruits:
    selected_rows = df[df[ fruit ] == True ]
    df_f'{fruit}' = selected_rows.drop_duplicates(subset='date')

for fruit in fruits:
    df_f'{fruit}'.plot(x="date", y=(f'{fruit}_score'), kind="line")

Answer 1

你应该按照@youyoun 建议的方式做一些事情：

dfs = {}
fruits = ['apple',  'banana']
for fruit in fruits:
    selected_rows = df[df[ fruit ] == True ].drop_duplicates(subset='date')
    dfs[f'df_{fruit}'] = selected_rows

for a,v in dfs.items():
    print(a)
    print(v)

输出：

df_apple
  concat  apple_score  banana_score        date  apple  banana
1  apple          0.4           0.4  2010-02-12   True   False
df_banana
   concat  apple_score  banana_score        date  apple  banana
2  banana        0.530           0.3  2010-01-12  False    True
4    bana        0.634           0.1  2010-03-03  False    True

对于带有 pandas 数据帧的 f 字符串循环

For loop with f-string with pandas dataframe

python

for-loop

dataframe

pandas

f-string