尽管使用Global关键字访问函数内部的变量仍发生错误 [英] Error despite Global keyword being used to access variable inside function

问题描述

我创建了一些全局变量，如下面的代码所示.但是，当我尝试在各个函数中使用它们时，仍然会出现相同的错误.

I have created few global variables as shown in my code below. However when I try to use them inside the individual functions, I still get the same error.

请在下面找到我的代码

def create_df():
  global sheet_name, sheet_df 
  for s in sheets:
     sheet_name = s
     sheet_df = pd.read_excel(xls, sheet_name=s)
     sheet_df = sheet_df[sheet_df.columns.difference(sheet_df.filter(like='Derived').columns,sort=False)]
     print("Sheet " + str(s) + " is created as a dataframe successfully")
     transform_stage_1_df()

def transform_stage_1_df():
    global sheet_df 
    sheet_df = pd.melt(sheet_df, id_vars='subject_ID', var_name='headers', value_name='dates')
    sheet_df['header_extracted'] = [x.split("Date")[0] for x in sheet_df['headers']]
    sheet_df['day'] = sheet_df['header_extracted'].str.extract('(\d+)', expand=True).astype(int)
    sheet_df = sheet_df[sheet_df.groupby(['subject_ID','header_extracted'])['dates'].transform('count').ne(0)].copy()
    sheet_df = sheet_df.sort_values(by=['subject_ID','day'])
    sheet_df.drop(['header_extracted', 'day'], axis=1, inplace=True)
print("Stage 1 transformation is complete")


if __name__ == '__main__':
    print("Execution Started")
    print("File read successfully")
    sheets = xls.sheet_names
    sheet_name = sheet_df = Non_Cholesterol = None
    dataFramesDict = dict()
    create_df()
    add_units()
    Non_Cholesterol.to_csv('Output.csv')

基于SO帖子，我已经更新了global关键字，但仍然得到了UnboundLocalError: local variable 'sheet_df' referenced before assignment

Based on SO posts, I have already updated the global keyword but still I get the UnboundLocalError: local variable 'sheet_df' referenced before assignment

UnboundLocalError                         Traceback (most recent call last)
 <ipython-input-210-dc2f8412235d> in <module>
      7     sheet_df = None
       8     dataFramesDict = dict()
  ----> 9     create_df()
 10     Non_Cholesterol.to_csv('C:\\Users' + 
 str('Non_cholesterol.csv'),index=None)
 11     print("Export successful")

 <ipython-input-205-c93604f0da4f> in create_df()
  5         sheet_df =sheet_df[sheet_df.columns.difference(sheet_df.filter(like='Derived').columns,sort=False)]
  6         print("Sheet " + str(s) + " is created as a dataframe 
  successfully")
     ----> 7         transform_stage_1_df()

 <ipython-input-206-b59c70018a9b> in transform_stage_1_df()
  1 def transform_stage_1_df():
  ----> 2     sheet_df = pd.melt(sheet_df, id_vars='subject_ID', 
 var_name='headers', value_name='dates')
  3     sheet_df['header_extracted'] = [x.split("Date")[0] for x in 
 sheet_df['headers']]
  4     sheet_df['day'] = sheet_df['header_extracted'].str.extract('(\d+)', 
 expand=True).astype(int)
  5     sheet_df = 
 sheet_df[sheet_df.groupby(['subject_ID','header_extracted']) 
 ['dates'].transform('count').ne(0)].copy()

  UnboundLocalError: local variable 'sheet_df' referenced before assignment

推荐答案

您需要在脚本主体中初始化变量.当您说global variable_name时，这意味着您将访问函数外部的变量，而不是名为variable_name的局部变量.

You need to initialize the variables at the body of your script. When you say global variable_name it means that you will be accessing the variable outside of the function instead of a local variable named variable_name.

# Initialize the variables first
sheet_name = None
sheet_df = None

def create_df():
  global sheet_name, sheet_df 
  for s in sheets:
     sheet_name = s
     sheet_df = pd.read_excel(xls, sheet_name=s)
     sheet_df = sheet_df[sheet_df.columns.difference(sheet_df.filter(like='Derived').columns,sort=False)]
     print("Sheet " + str(s) + " is created as a dataframe successfully")
     transform_stage_1_df()

def transform_stage_1_df():
    global sheet_df 
    sheet_df = pd.melt(sheet_df, id_vars='subject_ID', var_name='headers', value_name='dates')
    sheet_df['header_extracted'] = [x.split("Date")[0] for x in sheet_df['headers']]
    sheet_df['day'] = sheet_df['header_extracted'].str.extract('(\d+)', expand=True).astype(int)
    sheet_df = sheet_df[sheet_df.groupby(['subject_ID','header_extracted'])['dates'].transform('count').ne(0)].copy()
    sheet_df = sheet_df.sort_values(by=['subject_ID','day'])
    sheet_df.drop(['header_extracted', 'day'], axis=1, inplace=True)
    print("Stage 1 transformation is complete")


if __name__ == '__main__':
   print("Execution Started")
   xls = pd.ExcelFile('C:\\Users\\All.xlsx')
   print("File read successfully")
   sheets = xls.sheet_names
   dataFramesDict = dict()
   create_df()

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