df.dropna不会从所有值均为NaN的行中删除NaN值

Question

我正在尝试清理pdf，将其转换为用于地址解析的文件。我一直在使用tabula-py分割pdf，直到删除完全为空的行为止，都取得了不错的效果。我什至不确定这是否是一种有效的方法。

我已经尝试了SO向我推荐的大多数解决方案，但我仍然不太明白。我已经设置inplace = True，axis = 0和1，how =“ all”。尝试索引NaN值，但也没有用。

import pandas as pd
import tabula
pd.set_option('display.width', 500)
df = tabula.read_pdf("C:\\Users\\Jack\\Documents\\Schoolwork\\Schoolwork\\WICResearch\\RefDocs\\wicclinicdirectory.pdf", pages='all', guess = False, pandas_options={'header': None})
df.columns = ["County_Name", "Clinic_Number", "Clinic_Name", "Address", "City", "Zip_Code", "Phone_Number", "Hours_of_Operation"]
df.drop(["Phone_Number", "Hours_of_Operation"], axis = 1, inplace = True)

此处的＃大量代码可消除不需要的重复列标题，例如通过表格读取PDF的结果。

df.drop(["Clinic_Name"], axis = 1, inplace = True)

    df[['ClinicNum','ClinicName']] = df.Clinic_Number.apply(lambda x: pd.Series(str(x).split(" ", maxsplit = 1)))

    df.drop(["Clinic_Number"], axis = 1, inplace = True)

    #df[~df.isin(['NaN', 'NaT']).any(axis=1)]

    #df.dropna(axis= 0, how ='all', inplace = True)

    NaNIndex = df.index[df.isnull().all(1)]
    print(NaNIndex)
    print(df)

The above code gives this output: 

Index: []
    County_Name                              Address                       City Zip_Code ClinicNum                                ClinicName
0           NaN                                  NaN  Ohio WIC Clinic Locations      NaN       nan                                       NaN
1           NaN                                  NaN                        NaN      NaN    Clinic                                       NaN
3         Adams                 9137 State Route 136                 West Union    45693       100                  Adams County WIC Program
4           NaN                                  NaN                        NaN      NaN       nan                                       NaN
5           NaN                                  NaN                        NaN      NaN       nan                                       NaN
6         Allen        940 North Cable Road, Suite 4                       Lima    45805       200                  Allen County WIC Program
7       Ashland                    934 Center Street                    Ashland    44805       300                Ashland County WIC Program
8           NaN                              Suite E                        NaN      NaN       nan                                       NaN
9     Ashtabula              Geneva Community Center                     Geneva    44041       403                         Geneva WIC Clinic
10          NaN                  62 West Main Street                        NaN      NaN       nan                                       NaN
11    Ashtabula    Jefferson United Methodist Church                  Jefferson    44047       402                      Jefferson WIC Clinic
12          NaN            125 East Jefferson Street                        NaN      NaN       nan                                       NaN
13    Ashtabula       Conneaut Human Resource Center                   Conneaut    44030       401                       Conneaut WIC Clinic
14          NaN                      327 Mill Street                        NaN      NaN       nan                                       NaN
15    Ashtabula                     3225 Lake Avenue                  Ashtabula    44004       400              Ashtabula County WIC Program
16          NaN                                  NaN                        NaN      NaN       nan                                       NaN
18          NaN                                  NaN                        NaN      NaN    Clinic                                       NaN
20    Ashtabula           St. Mary's Catholic Church                     Orwell    44076       490                         Orwell WIC Clinic

我想要的是：

Index: []
    County_Name                              Address                       City Zip_Code ClinicNum                                ClinicName

3         Adams                 9137 State Route 136                 West Union    45693       100                  Adams County WIC Program
6         Allen        940 North Cable Road, Suite 4                       Lima    45805       200                  Allen County WIC Program
7       Ashland                    934 Center Street                    Ashland    44805       300                Ashland County WIC Program
8           NaN                              Suite E                        NaN      NaN       nan                                       NaN
9     Ashtabula              Geneva Community Center                     Geneva    44041       403                         Geneva WIC Clinic
10          NaN                  62 West Main Street                        NaN      NaN       nan                                       NaN
11    Ashtabula    Jefferson United Methodist Church                  Jefferson    44047       402                      Jefferson WIC Clinic
12          NaN            125 East Jefferson Street                        NaN      NaN       nan                                       NaN
13    Ashtabula       Conneaut Human Resource Center                   Conneaut    44030       401                       Conneaut WIC Clinic
14          NaN                      327 Mill Street                        NaN      NaN       nan                                       NaN
15    Ashtabula                     3225 Lake Avenue                  Ashtabula    44004       400              Ashtabula County WIC Program
18          NaN                                  NaN                        NaN      NaN    Clinic                                       NaN
20    Ashtabula           St. Mary's Catholic Church                     Orwell    44076       490                         Orwell WIC Clinic

我能够使用正确的标题创建所需的数据框，但是它仍然不会删除NaN值。或删除整个内容。我还希望能够将不是全部NaN值的行移动到相关的行中，以便它们全部为一行。

我也不知道我能得到多少重现性，因为我在表格中摆弄了很多东西，试图将这个pdf转换。