根据索引在熊猫数据框中查找特定列的值[重复]答案

【问题标题】：Finding values in pandas dataframe for a particular column based on index [duplicate]根据索引在熊猫数据框中查找特定列的值[重复]
【发布时间】：2019-08-05 01:16:51
【问题描述】：

我正在使用 Python - 3.6 和 pandas - 0.24.1

我有一个熊猫数据框df1：

    col1    col2
0  8388611  3.9386
1  8388612  1.9386

我需要在特定索引上找到col1 的值

 print(df1['col1'][1])

错误：

Traceback (most recent call last):
  File "/home/runner/.site-packages/pandas/core/indexes/base.py", line 2656, inget_loc
    return self._engine.get_loc(key)
  File "pandas/_libs/index.pyx", line 108, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/index.pyx", line 132, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/hashtable_class_helper.pxi", line 1601, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas/_libs/hashtable_class_helper.pxi", line 1608, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 1

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "main.py", line 24, in <module>
    print(df1['col1'][1])
  File "/home/runner/.site-packages/pandas/core/frame.py", line 2927, in __getitem__
    indexer = self.columns.get_loc(key)
  File "/home/runner/.site-packages/pandas/core/indexes/multi.py", line 2397, in get_loc
    loc = self._get_level_indexer(key, level=0)
  File "/home/runner/.site-packages/pandas/core/indexes/multi.py", line 2652, in _get_level_indexer
    code = level_index.get_loc(key)
  File "/home/runner/.site-packages/pandas/core/indexes/base.py", line 2658, inget_loc
    return self._engine.get_loc(self._maybe_cast_indexer(key))
  File "pandas/_libs/index.pyx", line 108, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/index.pyx", line 132, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/hashtable_class_helper.pxi", line 1601, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas/_libs/hashtable_class_helper.pxi", line 1608, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 1

在 pandas 中迭代特定列的所有元素的理想方法是什么？

【问题讨论】：

使用print(df1.loc[1, 'col1'])，是骗子

标签： python pandas

【解决方案1】：

你可以使用 iloc

df["column"].iloc[index]

【讨论】：