Question

以下代码必须执行以下几个步骤：

如果列'批发数据'用法＆gt; =列'mbs'而不是
减去“批发数据”栏目 - “mbs”
将差异乘以下表
- 32 - 0.56
- 64 - 0.5
- 128 - 0.4
- 256 - 0.4
- 512 - 0.3
- 1024 - 0.3
对于所有其他可能的选项 - 0

我有以下代码

if df['Wholesale Data Usage'] >= df['mbs']:
    if df['mbs'] == "32":
        df['Additional Charge'] = (df['Wholesale Data Usage'] - df[
        'mbs']) * 0.5
    elif df['mbs'] == "64":
        df['Additional Charge'] = (df['Wholesale Data Usage'] - df[
        'mbs']) * 0.5
    elif df['mbs'] == "128":
        df['Additional Charge'] = (df['Wholesale Data Usage'] - df[
        'mbs']) * 0.4
    elif df['mbs'] == "256":
        df['Additional Charge'] = (df['Wholesale Data Usage'] - df[
        'mbs']) * 0.4
    elif df['mbs'] == "512":
        df['Additional Charge'] = (df['Wholesale Data Usage'] - df[
        'mbs']) * 0.3
    elif df['mbs'] == "1024":
        df['Additional Charge'] = (df['Wholesale Data Usage'] - df[
        'mbs']) * 0.3
    else:
        df['Additional Charge'] = 0
else:
    df['Additional Charge'] = 0

不确定我做错了什么。

Answer 1

首先，对于32，你乘以0.5而不是0.56。

然后，您似乎已经混淆了字符串和整数。如果df['Wholesale Data Usage']和df['mbs']中存储的数据是String类型，那么您不能检查大于（>=），也不能从另一个中减去一个。

我怀疑字典中存储的数据类型为整数或 Float 或 Double 。在这种情况下，您尝试将数据与字符串进行比较，并应更改以下内容：

if df['mbs'] == "32":

为：

if df['mbs'] == 32:

并为每次比较做同样的事情

Answer 2

你的代码很难读，难以调试。编码风格将帮助您看到我自己的错误。如果你这样写的怎么办？

mbs = df['mbs']
wdu = df['Wholesale Data Usage']

ac = 0
if wdu >= mbs and mbs == "32"   : ac = (wdu - mbs) * 0.56
if wdu >= mbs and mbs == "64"   : ac = (wdu - mbs) * 0.5
if wdu >= mbs and mbs == "128"  : ac = (wdu - mbs) * 0.4
if wdu >= mbs and mbs == "256"  : ac = (wdu - mbs) * 0.4
if wdu >= mbs and mbs == "512"  : ac = (wdu - mbs) * 0.3
if wdu >= mbs and mbs == "1024" : ac = (wdu - mbs) * 0.3

df['Additional Charge'] = ac

据说你有类型问题。我比较的第一个等式mbs=="32"就像你有一个字符串一样。然后在等式中，您尝试添加值，就好像它们包含一个int - 这不会起作用。让这些类型合理。

mbs = float(df['mbs'])
wdu = float(df['Wholesale Data Usage'])

ac = 0
if wdu >= mbs and mbs == 32   : ac = (wdu - mbs) * 0.56
if wdu >= mbs and mbs == 64   : ac = (wdu - mbs) * 0.5
if wdu >= mbs and mbs == 128  : ac = (wdu - mbs) * 0.4
if wdu >= mbs and mbs == 256  : ac = (wdu - mbs) * 0.4
if wdu >= mbs and mbs == 512  : ac = (wdu - mbs) * 0.3
if wdu >= mbs and mbs == 1024 : ac = (wdu - mbs) * 0.3

df['Additional Charge'] = str(ac) #<- you need to know what the expected type is here.

Answer 3

我认为您的逻辑以及代码逐步完成逻辑的方式存在一些问题，例如：您检查mbs列是否等于32，但如果Wholesale Data Usage列与mbs列之间的差异等于32，则确实如此。

这应该可以在不编辑太多代码的情况下修复逻辑：

df['mbs'] = np.where(df['Wholesale Data Usage'] >= df['mbs'], df['Wholesale Data Usage']-df['mbs'], 0)

if df['mbs'] == "32":
    df['Additional Charge'] = (df['mbs']) * 0.5
elif df['mbs'] == "64":
    df['Additional Charge'] = (df['mbs']) * 0.5
elif df['mbs'] == "128":
    df['Additional Charge'] = (df['mbs']) * 0.4
elif df['mbs'] == "256":
    df['Additional Charge'] = (df['mbs']) * 0.4
elif df['mbs'] == "512":
    df['Additional Charge'] = (df['mbs']) * 0.3
elif df['mbs'] == "1024":
    df['Additional Charge'] = (df['mbs']) * 0.3
else:
    df['Additional Charge'] = 0

在df上应用嵌套的if语句

3 个答案: