使用 pandas 将两个字符串写入一列

Question

我想使用 pandas 将 2 个字符串写入 xlsx 文件中的一列

https://www.nuget.org/packages/Newtonsoft.Json/ - 发行说明选项卡

超链接的部分是可点击的。 “- 发行说明选项卡”不应成为超链接的一部分。就像屏幕截图中的那样。

我正在尝试这样的事情。我想写的专栏称为“已知问题”。请参阅

if 'Known Issues' in df:

线。

def create_excel_with_format(headers,values,full_file_name_with_path):
   
   #Write to CSV in xlsx format with indentation.
   df = pd.DataFrame(data=values,columns=headers)
   #df = df.set_axis(df.index*2 + 1).reindex(range(len(df)*2)) #Create a blank row after every row.

   with pd.ExcelWriter(full_file_name_with_path) as writer:
        
        #For any list items inside of the excel file we remove the square brackets[]
        for index,row in df.iterrows():
            for col in list(df.columns):
                if isinstance(row[col], list):
                    row[col] = ", ".join(row[col])

        df.to_excel(writer, index=False)
        workbook  = writer.book
        worksheet = writer.sheets['Sheet1']

        #Write the location each comma separated in new line if exists (For Nuget exists and thirdparty no).
        if 'Location' in df:
            df["Location"] = df["Location"].str.join("\n")
            twrap = workbook.add_format({"text_wrap": True})
            idx_location = df.columns.get_loc("Location")
            worksheet.set_column(idx_location, idx_location, 60, twrap)
        
        if 'Known Issues' in df:
            df["Known Issues"]=df["Known Issues"].str.join(" - release notes tab") #DOES NOT WORK
         
        header_format = workbook.add_format({
            'bold': True,
            'border': False,
            'text_wrap': False,
            'font_size':13})

        for col_num, value in enumerate(df.columns.values):
            worksheet.write(0, col_num, value, header_format)

Answer 1

我重写了你的函数（但我没有测试代码，就像你没有提供示例一样）。

我认为问题在于你的第一个

for

循环的位置，因为在应用

join

函数之前，你可以通过将所有列表项转换为字符串来删除它们......这需要提供一个列表。

您的方法应该是进行所有您需要的

join

治疗，然后再删除剩余的列表。

def create_excel_with_format(headers,values,full_file_name_with_path):
    df = pd.DataFrame(data=values,columns=headers)
    
    with pd.ExcelWriter(full_file_name_with_path) as writer:
        workbook  = writer.book
        worksheet = writer.sheets['Sheet1']        
        # df treatments first
        if 'Location' in df:
            df['Location'] = df['Location'].apply(lambda x: "\n".join(x) if isinstance(x, list) else x)
        if 'Known Issues' in df:
            df['Known Issues'] = df['Known Issues'].apply(lambda x: x + " - release notes tab" if pd.notnull(x) else x)
        # For any list items inside of the excel file we remove the square brackets[]
        df = df.applymap(lambda x: ", ".join(x) if isinstance(x, list) else x)
        # ...
        if 'Location' in df:
            twrap = workbook.add_format({"text_wrap": True})
            idx_location = df.columns.get_loc("Location")
            worksheet.set_column(idx_location, idx_location, 60, twrap)
        df.to_excel(writer, index=False)
        
        header_format = workbook.add_format({
            'bold': True,
            'border': False,
            'text_wrap': False,
            'font_size':13})