将excel列转换为变量

Question

我想将一些 xls 数据移动到 json 中。我不能只使用现成的解决方案，因为这有点特殊。

这是excel

代码如下：

import pandas

xl = pandas.ExcelFile("./data/file.xlsx")
df = xl.parse("2")
x = df["XX"][0]
print(x)

# writing to file
text_file = open("json_files/Output.json", "w")

# text_file.write(json_str)

text_file.close()

这是我得到的错误：

Traceback (most recent call last):
  File "C:\Users\aironsid\Documents\Capgemini\Excel_to_Json\venv\lib\site-packages\pandas\core\indexes\base.py", line 2646, in get_loc
    return self._engine.get_loc(key)
  File "pandas\_libs\index.pyx", line 111, in pandas._libs.index.IndexEngine.get_loc
  File "pandas\_libs\index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc
  File "pandas\_libs\hashtable_class_helper.pxi", line 1619, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas\_libs\hashtable_class_helper.pxi", line 1627, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'XX'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "excelToJson.py", line 5, in <module>
    x = df["XX"][0]
  File "C:\Users\aironsid\Documents\Capgemini\Excel_to_Json\venv\lib\site-packages\pandas\core\frame.py", line 2800, in __getitem__
    indexer = self.columns.get_loc(key)
  File "C:\Users\aironsid\Documents\Capgemini\Excel_to_Json\venv\lib\site-packages\pandas\core\indexes\base.py", line 2648, in get_loc
    return self._engine.get_loc(self._maybe_cast_indexer(key))
  File "pandas\_libs\index.pyx", line 111, in pandas._libs.index.IndexEngine.get_loc
  File "pandas\_libs\index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc
  File "pandas\_libs\hashtable_class_helper.pxi", line 1619, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas\_libs\hashtable_class_helper.pxi", line 1627, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'XX'

似乎找不到列名。

我用这个video 作为参考

import pandas

xl = pandas.ExcelFile("file.xlsx")
# df = xl.parse("Text")
# print(df.columns)
# # x = df["XX"][0]
# # print(x)

df = pandas.Dataframe(xl)
print(df.columns)
# if you can see the columns
print(df["XX"])
# if this is success
dictionary = {"XX": list(df["XX"])}

# writing to file
text_file = open("json_files/Output.json", "w")

# text_file.write(json_str)

text_file.close()

Answer 1

请试试这个

df = pd.Dataframe(xl)
print(df.columns)
# if you can see the columns 
print(df["XX"])
# if this is success
dictionary = {"XX": list(df["XX"])}

Answer 2

如 cmets 中所述，您需要将 A1 的起点转换为 B7。这可以通过pandas.ExcelFile.parse 的“skiprows”参数和index_col 参数来实现：

import pandas
xl = pandas.ExcelFile("path\to\your\file.xlsx")
df = xl.parse("YourSheetName",index_col=1,skiprows=7)

更多文档/参数见pandas docs