Question

我是OSX的新手。已安装自制的Python 3.7.4，并尝试在VS Code中使用它。我很确定我的代码是正确的-它在Windows上，在OSX上的iPython或文件（即python file.py）上都可以正常运行。

但是，当我尝试使用VS Code的“在Python终端中运行选择/文件”功能时，输出结果完全是一团糟，到处都是重复的代码和错误（主要是IndentationError）。

也许有人以前看过这个问题？请帮忙！

import numpy as np
import pandas as pd
from os import chdir, listdir
from os.path import dirname, realpath

try:
    path = dirname(realpath(__file__))
except NameError:
    path = '/Users/user/Desktop/project'

chdir(path)

origDF = pd.DataFrame({'name': ['one', 'two', 'three'], 'date': ['june', 'july', 'august'], 'A_1': [1,2,3], 'L_1': [2,2,2], 
                        'TA': [1,1,1], 'TL': [2,2,2]})


dataDF = origDF.copy()


def test_equality(dataframe, item1, item2, threshold):
    tmpDF = dataframe.copy()
    tmpDF.loc[:, 'diff'] = abs(tmpDF[item1]/tmpDF[item2] - 1)

    print('\nComparison of {i1} and {i2} with threshold {t}:\n'.format(
        i1=item1, i2=item2, t=threshold))
    print(tmpDF.loc[tmpDF['diff'] > threshold,
                    ['name', 'date', item1, item2]])


# are totals equal?
for s in ['A', 'L']:
    dataDF.loc[:, 'T{}_calc'.format(s)] = dataDF.loc[:, ['{}_'.format(s) in c and not any(
        m in c for m in ['A_6', 'L_8']) for c in dataDF]].sum(axis=1, min_count=1)

test_equality(dataDF, 'TA_calc', 'TL_calc', 0.01)

# are totals equal to the stated totals?
for s in ['A', 'L']:
    test_equality(dataDF, 'T{}'.format(s), 'T{}_calc'.format(s), 0.01)

OSX上的Python终端产生错误，但代码可以作为文件或在iPython中正常运行

0 个答案: