Question

我正在尝试将csv文件读入数据帧，以便使用生成的sql select语句中的字段。数据如下所示：

         0    1     2     3     4           5            6
0  status1   A0   NaN   NaN     3   Customer1  customer Id
1  status2   A1   NaN   NaN     3   Customer2  customer Id
2  status3   A2   NaN  1253     3   Customer3  customer Id
3  status4   A3  27.0    L0     12  Customer4  customer Id
4  status5   A3  30.0   NaN     12  Customer5  customer Id

当我遍历每一行并尝试将字段插入字符串时：

for row in M:
print("(Select '{}' as disposition, '{}' as category_code, '{}' as status_code, '{:02f}' as Payer_reason_code, {} as precedence, {} as source_id, '{}' as reco_id) union"
          .format(M[row][0], M[row][1], M[row][2], M[row][3], M[row][4], M[row][5], M[row][6]))

抛出此错误：

第14行，在 print（“（选择'{}'作为处置，'{}'作为category_code，'{}'作为status_code，'{：02f}'作为Payer_reason_code，{}作为优先，{}作为source_id，'{}'作为reco_id）union“.format（M [row] [0]，M [row] [1]，M [row] [2]，M [row] [3]，M [row] [4]，M [row ] [5]，M [row] [6]）） IndexError：用作索引的数组必须是整数（或布尔）类型

如何在numpy 2d数组上循环？

这是完整的脚本：

import pandas as pd
import os
import numpy as np

path = '../resources'

X = pd.read_csv('../resources/data.csv', header=None).as_matrix()

for row in X:
    print("(Select '{}' as disposition, '{}' as category_code, '{}' as status_code, '{:02f}' as Payer_reason_code, {} as precedence, {} as source_id, '{}' as reco_id) union".format(X[row][0], X[row][1], X[row][2], X[row][3], X[row][4], X[row][5], X[row][6]))

Answer 1

你不能遍历这样的数据帧。

for i, row in M.iterrows():
    print("(Select '{}' as disposition, '{}' as category_code, '{}' as status_code, '{:02f}' as Payer_reason_code, {} as precedence, {} as source_id, '{}' as reco_id) union"
      .format(row[0], row[1], row[2], row[3], row[4], row[5], row[6]))

循环遍历数据帧的行

1 个答案: