BUG: Series.dt accessor throws exception after Series.drop when inplace=True

[aftersought]

Code Sample, a copy-pastable example

import pandas as pd

z = pd.Series(pd.date_range('2018-01-01', periods=100))
z.drop(z[z.dt.weekday >= 4].index, inplace=True)

print(f"Length of z's index is {len(z.index)}, trying to access z.dt.date")
try:
    z.dt.date
except ValueError as e:
    print("Got error", e)

z.reset_index(inplace=True, drop=True)
print(f"Length of z's index is {len(z.index)}, trying to access z.dt.date")
try:
    z.dt.date
except ValueError as e:
    print("Got error", e)

yields:

Length of z's index is 58, trying to access z.dt.date
Got error Length of passed values is 58, index implies 100
Length of z's index is 58, trying to access z.dt.date
Got error Length of passed values is 58, index implies 100

Problem description

I don't understand why the code throws an exception and where the error message gets length of 100 when the index has been reset.

Expected Output

At least the second z.dt.date should not throw.

INSTALLED VERSIONS

commit: None
python: 3.6.7.final.0
python-bits: 64
OS: Linux
OS-release: 3.10.0-514.26.2.el7.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8

pandas: 0.23.4
pytest: 4.0.2
pip: 18.1
setuptools: 40.6.3
Cython: 0.29.2
numpy: 1.15.4
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: 7.2.0
sphinx: 1.8.2
patsy: 0.5.1
dateutil: 2.7.5
pytz: 2018.7
blosc: None
bottleneck: 1.2.1
tables: 3.4.4
numexpr: 2.6.8
feather: None
matplotlib: 3.0.2
openpyxl: 2.5.12
xlrd: 1.2.0
xlwt: 1.3.0
xlsxwriter: 1.1.2
lxml: 4.2.5
bs4: 4.6.3
html5lib: 1.0.1
sqlalchemy: 1.2.15
pymysql: None
psycopg2: 2.7.6.1 (dt dec pq3 ext lo64)
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None

[mroeschke]

Happens specifically when inplace=True

In [8]: z = pd.Series(pd.date_range('2018-01-01', periods=7))
   ...: z = z.drop(z[z.dt.weekday >= 4].index)

In [9]: z.dt.date
Out[9]:
0    2018-01-01
1    2018-01-02
2    2018-01-03
3    2018-01-04
dtype: object

In [10]: z = pd.Series(pd.date_range('2018-01-01', periods=7))
    ...: z.drop(z[z.dt.weekday >= 4].index, inplace=True)

In [11]: z.dt.date
ValueError: Length of passed values is 4, index implies 7