Question

我从java调用python文件

def solve_......(Client_ID,data_folder):
    g = open('.........\\'+str(Client_ID)+'\\'+str(data_folder)+'\data_load.log', 'a+')

    f= open('...........\\'+str(Client_ID)+'\\'+str(data_folder)+'\conversion\csv\\bom.csv', 'rU')
    readfile = csv.reader(f)
    bom = [tuple(line) for line in readfile]

    Input_Data_df1 = pd.DataFrame(list(bom), columns = ['Material', 'BOM Component', 'Attach Rate', 'Yield', 'Alt. BOM', 'Alternative Item Grp', 'Alternative Priority', 'Usage Probability %', 'Validate From'])
    Input_Data_df1['Deletion Flag'] = '0'


    Filtered_Data = Input_Data_with_alt_bom_count.drop(Input_Data_with_alt_bom_count[(Input_Data_with_alt_bom_count["Material"] == i) & (Input_Data_with_alt_bom_count["Alt. BOM"] != 1)].index)
    pd.options.mode.chained_assignment = None

    SP_BOM_Format = Filtered_Data
    SP_BOM_Format['Valid To'] = '31.12.9999'  ## Added new column 'Valid To' as is not there in Halonix SAP format

    required_columns = ['Material', 'BOM Component', 'Attach Rate', 'Yield','Validate From', 'Valid To', 'Deletion Flag']
    g.write('777' + "\n")
    print 11111111    
    SP_BOM_Format.to_csv(r'E:\BitBucket\WildFly11.0.0\standalone\dataload\loadedfiles\\'+str(Client_ID)+'\\'+str(data_folder)+'\csv\\bom1.csv',index=False,header = True, columns = required_columns)
    print 2222222222

当我从pycharm运行时，py文件正在成功运行，但是当我从java调用py文件时，最后一个语句SP_BOM_Format.to_csv导致问题（没有找到这样的文件），我试图将文件放在该路径中单反斜杠\打印为双\。我的陈述中有什么变化

非常感谢任何帮助，谢谢

Answer 1

正斜杠（/）也适用于Windows下的python。用斜杠替换您的后挡（\）。此外，始终尝试使用os.path.join方法管理您的路径：

from os.path import join
variable = 'my folder'
join('e:', 'parent', 'child', variable, 'file.csv')

Answer 2

导入操作系统尝试操作。 path.join

try:
    outname = 'bom.csv'
    outdir = 'E:\BitBucket\WildFly11.0.0\standalone\dataload\loadedfiles\\'+str(Client_ID)+'\\'+str(data_folder)+'\csv'
    if not os.path.exists(outdir):
        os.mkdir(outdir)
    fullname = os.path.join(outdir, outname)
    print fullname
    SP_BOM_Format.to_csv(fullname)
except Exception as x:
    print x

Pandas Dataframe.to_csv导致问题

2 个答案: