Python+Pandas+Dataframe:键

Question

我有190个CSV，每个都有相同的列名。下面是共享的csv示例：

从每个csv中，我只需要选择第一行的Item，Predicted_BelRd(D2)，Predicted_Ulsoor(D2)，Predicted_ChrchStrt(D2)，Predicted_BlrClub(D2)，Predicted_Indrangr(D1)，Predicted_Krmngl(D1)，Predicted_KrmnglBkry(D1)，Predicted_HSR(D1)列只第一行，并需要将所有这些行存储到单独的csv中。所以最后的CSV应该是190行。在

为此我写了一个代码：

path = '/home/hp/products1'
all_files = glob.glob(path + "/*.csv")
#print(all_files)

columns = ['Item', 'Predicted_BelRd(D2)', 'Predicted_Ulsoor(D2)', 'Predicted_ChrchStrt(D2)', 'Predicted_BlrClub(D2)', 'Predicted_Indrangr(D1)', 'Predicted_Krmngl(D1)', 'Predicted_KrmnglBkry(D1)', 'Predicted_HSR(D1)']
#columns = []
#df.iloc[:, np.r_[1:10, 15, 17, 50:100]]
rows_list = []
for filename in all_files:
    origin_data = pd.read_csv(filename)
    my_data = origin_data[columns]
    rows_list.append(my_data.head(1))

output = pd.DataFrame(rows_list)
#output.to_csv(file_name, sep='\t', encoding='utf-8')
output.to_csv('smallys_final.csv', encoding='utf-8', index=False) 

它给出以下错误：

^{pr2}$

其中一个数据帧的内容：

prod = pd.read_csv('/home/hp/products1/' + 'prod[' + str(0) + '].csv', engine='python')
print(prod)

输出：

      Category                         Item  UOM  BelRd(D2)  Ulsoor(D2)  \
0  Food/Bakery  BAKING POWDER SPARSH (1KGS)  PKT          0           0   
1  Food/Bakery  BAKING POWDER SPARSH (1KGS)  PKT          0           0   
2  Food/Bakery  BAKING POWDER SPARSH (1KGS)  PKT          0           0   
3  Food/Bakery  BAKING POWDER SPARSH (1KGS)  PKT          0           0   
4  Food/Bakery  BAKING POWDER SPARSH (1KGS)  PKT          0           0   

   ChrchStrt(D2)  BlrClub(D2)  Indrangr(D1)  Krmngl(D1)  KrmnglBkry(D1)  \
0              0            0             0           0               1   
1              0            0             0           0               0   
2              0            0             0           0               0   
3              0            0             0           0               0   
4              0            0             0           0               1   

   HSR(D1)         date  Predicted_BelRd(D2)  Predicted_Ulsoor(D2)  \
0        0    10 FEB 19                  0.0                   0.0   
1        0    17 FEB 19                  NaN                   NaN   
2        0    24 FEB 19                  NaN                   NaN   
3        0   4 MARCH 19                  NaN                   NaN   
4        0  11 MARCH 19                  NaN                   NaN   

   Predicted_ChrchStrt(D2)  Predicted_BlrClub(D2)  Predicted_Indrangr(D1)  \
0                      0.0                    0.0                     0.0   
1                      NaN                    NaN                     NaN   
2                      NaN                    NaN                     NaN   
3                      NaN                    NaN                     NaN   
4                      NaN                    NaN                     NaN   

   Predicted_Krmngl(D1)  Predicted_KrmnglBkry(D1)  Predicted_HSR(D1)  
0                   0.0                       0.0                0.0  
1                   NaN                       NaN                NaN  
2                   NaN                       NaN                NaN  
3                   NaN                       NaN                NaN  
4                   NaN                       NaN                NaN  

编辑：

prod = pd.read_csv('/home/hp/products1/' + 'prod[' + str(0) + '].csv', engine='python')
print(list(prod))

输出：

['Category', 'Item', 'UOM', 'BelRd(D2)', 'Ulsoor(D2)', 'ChrchStrt(D2)', 'BlrClub(D2)', 'Indrangr(D1)', 'Krmngl(D1)', 'KrmnglBkry(D1)', 'HSR(D1)', 'date', 'Predicted_BelRd(D2)', 'Predicted_Ulsoor(D2)', 'Predicted_ChrchStrt(D2)', 'Predicted_BlrClub(D2)', 'Predicted_Indrangr(D1)', 'Predicted_Krmngl(D1)', 'Predicted_KrmnglBkry(D1)', 'Predicted_HSR(D1)']

Answer 1

我认为您需要删除制表符空格并重新执行代码。它可能工作得很好。我认为由于不需要的制表符空格，dataframe无法区分实际值并输出“KeyError”。在