在MacBook Pro OS v10.13.2（17C88）上使用Spyder3在Python 3.6中使用pandas尝试删除表数据。代码是：
import pandas as pd
...
url = "https://coinmarketcap.com/currencies/bitcoin/historical-data/?start=20130428&end="+time.strftime("%Y%m%d")
# CODE FAILS HERE
bitcoin_market_info = pd.read_html(url)[0]
控制台中显示的结果：
bitcoin_market_info = pd.read_html(url)[0]
Traceback (most recent call last):
File "<ipython-input-2-0b0d269a2c9d>", line 15, in <module>
bitcoin_market_info = pd.read_html(url)[0]
File "/Users/EL-C/anaconda3/lib/python3.6/site-packages/pandas/io/html.py", line 915, in read_html
keep_default_na=keep_default_na)
File "/Users/EL-C/anaconda3/lib/python3.6/site-packages/pandas/io/html.py", line 749, in _parse
raise_with_traceback(retained)
File "/Users/EL-C/anaconda3/lib/python3.6/site-packages/pandas/compat/__init__.py", line 385, in raise_with_traceback
raise exc.with_traceback(traceback)
TypeError: __init__() got an unexpected keyword argument 'encoding'
pd。版本是＆＃39; 0.21.1＆＃39;
pd.show_versions（）的结果：
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.4.final.0
python-bits: 64
OS: Darwin
OS-release: 17.3.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: en_US.UTF-8
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
pandas: 0.21.1
pytest: 3.3.0
pip: 9.0.1
setuptools: 36.5.0.post20170921
Cython: 0.27.3
numpy: 1.13.3
scipy: 1.0.0
pyarrow: None
xarray: None
IPython: 6.2.1
sphinx: 1.6.3
patsy: 0.4.1
dateutil: 2.6.1
pytz: 2017.3
blosc: None
bottleneck: 1.2.1
tables: 3.4.2
numexpr: 2.6.4
feather: None
matplotlib: 2.1.1
openpyxl: 2.4.9
xlrd: 1.1.0
xlwt: 1.2.0
xlsxwriter: 1.0.2
lxml: 4.1.1
bs4: 4.6.0
html5lib: 1.0.1
sqlalchemy: 1.1.13
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
我尝试this修复，但似乎是旧版本而不是这种情况，因为我还没有导入html5lib。
如果需要：
html5lib。版本是1.0.1
bs4。版本是4.6.0
运行＆＃39; pip3安装-U html5lib ==＆＃34; 0.9999999＆＃34;＆＃39; （如建议的那样）在终端中不会更改Spyder3中的版本。
运行命令时在终端中看到的是：
Requirement already up-to-date: html5lib==0.9999999 in /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages
Requirement already up-to-date: six in /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages (from html5lib==0.9999999)
也许这是根？如果是这样，需要帮助搞清楚这一点。
答案 0 :(得分：0)
尝试安装Anaconda Python distributive (available for Linux, Windows and MacOS
它对我来说非常好：
In [133]: bitcoin_market_info = pd.read_html(url)[0]
In [134]: bitcoin_market_info
Out[134]:
Date Open High Low Close Volume Market Cap
0 Dec 26, 2017 14036.60 16461.20 14028.90 16099.80 13454300000 235294000000
1 Dec 25, 2017 13995.90 14593.00 13448.90 14026.60 10664700000 234590000000
2 Dec 24, 2017 14608.20 14626.00 12747.70 13925.80 11572300000 244824000000
3 Dec 23, 2017 13948.70 15603.20 13828.80 14699.20 13086000000 233748000000
4 Dec 22, 2017 15898.00 15943.40 11833.00 13831.80 22198000000 266381000000
5 Dec 21, 2017 16642.40 17567.70 15342.70 15802.90 16516600000 278827000000
6 Dec 20, 2017 17760.30 17934.70 16077.70 16624.60 22149700000 297526000000
7 Dec 19, 2017 19118.30 19177.80 17275.40 17776.70 16894500000 320242000000
8 Dec 18, 2017 19106.40 19371.00 18355.90 19114.20 14839500000 320000000000
9 Dec 17, 2017 19475.80 20089.00 18974.10 19140.80 13314600000 326141000000
... ... ... ... ... ... ... ...
1694 May 07, 2013 112.25 113.44 97.70 111.50 - 1248470000
1695 May 06, 2013 115.98 124.66 106.64 112.30 - 1289470000
1696 May 05, 2013 112.90 118.80 107.14 115.91 - 1254760000
1697 May 04, 2013 98.10 115.00 92.50 112.50 - 1089890000
1698 May 03, 2013 106.25 108.13 79.10 97.75 - 1180070000
1699 May 02, 2013 116.38 125.60 92.28 105.21 - 1292190000
1700 May 01, 2013 139.00 139.89 107.72 116.99 - 1542820000
1701 Apr 30, 2013 144.00 146.93 134.05 139.00 - 1597780000
1702 Apr 29, 2013 134.44 147.49 134.00 144.54 - 1491160000
1703 Apr 28, 2013 135.30 135.98 132.10 134.21 - 1500520000
[1704 rows x 7 columns]
模块的版本：
In [135]: pd.show_versions()
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.3.final.0
python-bits: 64
OS: Windows
OS-release: 7
machine: AMD64
processor: Intel64 Family 6 Model 58 Stepping 9, GenuineIntel
byteorder: little
LC_ALL: en_US.UTF-8
LANG: en_US
LOCALE: None.None
pandas: 0.21.1
pytest: 3.3.0
pip: 9.0.1
setuptools: 36.5.0.post20170921
Cython: 0.27.3
numpy: 1.13.3
scipy: 1.0.0
pyarrow: 0.7.0
xarray: 0.10.0
IPython: 6.2.1
sphinx: 1.6.3
patsy: 0.4.1
dateutil: 2.6.1
pytz: 2017.3
blosc: 1.5.1
bottleneck: 1.2.1
tables: 3.4.2
numexpr: 2.6.4
feather: 0.4.0
matplotlib: 2.1.1
openpyxl: 2.4.9
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 1.0.2
lxml: 4.1.1
bs4: 4.6.0
html5lib: 1.0.1
sqlalchemy: 1.1.13
pymysql: 0.7.11.None
psycopg2: 2.7.3.1 (dt dec pq3 ext lo64)
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: 0.5.0
read_html()默认使用lxml（flavor=None）：
flavor ：str或None，字符串容器
要使用的解析引擎。
bs4和html5lib是彼此的同义词，它们是两者都是为了向后兼容。默认值
None尝试使用
lxml进行解析，如果失败则会回到bs4 + html5lib。
答案 1 :(得分：0)
pip3 install -U html5lib=="0.9999999"