小编sgD*_*ion的帖子

即使处理缺失值,我也面临多个变量的错误.例如:

le = preprocessing.LabelEncoder()
categorical = list(df.select_dtypes(include=['object']).columns.values)
for cat in categorical:
    print(cat)
    df[cat].fillna('UNK', inplace=True)
    df[cat] = le.fit_transform(df[cat])
#     print(le.classes_)
#     print(le.transform(le.classes_))


---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-24-424a0952f9d0> in <module>()
      4     print(cat)
      5     df[cat].fillna('UNK', inplace=True)
----> 6     df[cat] = le.fit_transform(df[cat].fillna('UNK'))
      7 #     print(le.classes_)
      8 #     print(le.transform(le.classes_))

C:\Users\paula.ceccon.ribeiro\AppData\Local\Continuum\Anaconda3\lib\site-packages\sklearn\preprocessing\label.py in fit_transform(self, y)
    129         y = column_or_1d(y, warn=True)
    130         _check_numpy_unicode_bug(y)
--> 131         self.classes_, y = np.unique(y, return_inverse=True)
    132         return y
    133 

C:\Users\paula.ceccon.ribeiro\AppData\Local\Continuum\Anaconda3\lib\site-packages\numpy\lib\arraysetops.py in unique(ar, return_index, return_inverse, return_counts)
    209 
    210     if optional_indices:
--> …

使用来自Zillow研究数据站点的数据主要是城市级别.数据结构是6列包含城市相关信息,其余245列包含月销售价格.我使用下面的代码显示数据样本

import pandas as pd
from tabulate import tabulate 

df = pd.read_csv("City_Zhvi_AllHomes.csv")
c = df.columns.tolist()
cols = c[:7] 
cols.append(c[-1]) 
print (tabulate(df[cols].iloc[23:29], headers = 'keys', tablefmt = 'orgtbl'))

上面的代码将打印一个样本,如下所示:

|    |   RegionID | RegionName    | State   | Metro         | CountyName   |   SizeRank |   1996-04 |   2016-08 |
|----+------------+---------------+---------+---------------+--------------+------------+-----------+-----------|
| 23 |       5976 | Milwaukee     | WI      | Milwaukee     | Milwaukee    |         24 |     68100 |     99500 |
| 24 |       7481 | Tucson        | AZ      | Tucson        | Pima …