如何将方法/函数应用于python中的数据框

Question

功能是：

def combine(row):
    count = 0
    stage = ""
    if (str(row.doggo) == "doggo"):
        stage = "doggo"
        count += 1

    if row.floofer == "floofer":
        stage = "floofer"
        count += 1

    if row.pupper == "pupper":
        stage = "pupper"
        count += 1

    if row.pupper == "puppo":
        stage = "puppo"
        count += 1

    if count == 0:
        return pd.np.NAN
    elif count == 1:
        return stage
    else:
        return "multiple"

调用方法时：

df_twitter_archive_clean["status"] = df_twitter_archive_clean[["doggo","floofer","pupper","puppo"]].apply(combine)

出现错误信息：

----------------------------------- ---------------------------- AttributeError Traceback（最近调用 最后）在 ----> 1 df_twitter_archive_clean["status"] = df_twitter_archive_clean[["doggo","floofer","pupper","puppo"]].apply(combine)

~/anaconda3/lib/python3.7/site-packages/pandas/core/frame.py 在 应用（自我，函数，轴，广播，原始，减少，结果类型，参数， **kwds) 6485 args=args, 6486 kwds=kwds) -> 6487 return op.get_result() 6488 6489 def applymap(self, func):

~/anaconda3/lib/python3.7/site-packages/pandas/core/apply.py 获取结果（自我） 第149章 150 --> 151 返回 self.apply_standard() 152 153 def apply_empty_result（自我）：

~/anaconda3/lib/python3.7/site-packages/pandas/core/apply.py 应用标准（自我） 255 256 # 使用序列生成器计算结果 --> 257 self.apply_series_generator() 258 259 # 包装结果

~/anaconda3/lib/python3.7/site-packages/pandas/core/apply.py apply_series_generator(self) 284 尝试： 285 for i, v in enumerate(series_gen): --> 286 个结果[i] = self.f(v) 第287章 288 例外为 e:

在组合（行）中 2 计数 = 0 3阶段=“” ----> 4 if (str(row.doggo) == "doggo"): 5 阶段 = "doggo" 6 计数 += 1

~/anaconda3/lib/python3.7/site-packages/pandas/core/generic.py getattr(self, name) 5065 if self._info_axis._can_hold_identifiers_and_holds_name(name): 5066
返回自我[姓名] -> 5067 返回对象。getattribute(self, name) 5068 5069 def setattr(self, name, value):

AttributeError: ("'Series' object has no attribute 'doggo'", '发生在索引 doggo')

Answer 1

试试：

df_twitter_archive_clean["status"] = df_twitter_archive_clean[["doggo","floofer","pupper","puppo"]].apply(combine, axis=1)

否则，您将按列应用函数，如果我理解正确，您希望按行进行