pandas 类型错误：__init__() 得到了意外的关键字参数“编码”
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TypeError: __init__() got an unexpected keyword argument 'encoding'
提问by user
Attempting a scrape of table data using pandas in Python 3.6 using Spyder3 on a MacBook Pro OS v10.13.2 (17C88). The code is:
在 MacBook Pro OS v10.13.2 (17C88) 上使用 Spyder3 在 Python 3.6 中尝试使用 Pandas 抓取表数据。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]
The results shown in the console:
控制台显示的结果：
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.versionis '0.21.1'
pd。版本是“0.21.1”
Results of pd.show_versions():
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
I have attempted thisfix, but it seems to be for an older version and not exactly this situation, given that I haven't imported html5lib.
我已经尝试过此修复程序，但鉴于我尚未导入 html5lib，它似乎适用于较旧的版本而不完全是这种情况。
In case it's needed:
如果需要：
the html5lib.versionis 1.0.1
html5lib。版本是 1.0.1
bs4.versionis 4.6.0
bs4. 版本是 4.6.0
Running 'pip3 install -U html5lib=="0.9999999"' (as suggested) in the terminal doesn't change the version in Spyder3.
在终端中运行 'pip3 install -U html5lib=="0.9999999"' （如建议的那样）不会更改 Spyder3 中的版本。
What I see in the terminal when running the command is:
运行命令时我在终端中看到的是：
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)
Maybe this is the root? If so, need help figuring this out.
也许这就是根源？如果是这样，需要帮助解决这个问题。
回答by MaxU
Try to install Anaconda Python distributive (available for Linux, Windows and MacOS
尝试安装Anaconda Python distributive（适用于 Linux、Windows 和 MacOS
It works perfectly fine for me:
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]
Module's Versions:
模块版本：
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()uses lxml per default (flavor=None):
read_html()默认使用 lxml ( flavor=None)：
flavor: str or None, container of strings
The parsing engine to use.
bs4andhtml5libare synonymous with each other, they areboth there for backwards compatibility. The default of
Nonetries touse
lxmlto parse and if that fails it falls back onbs4 + html5lib.
风味：str 或 None，字符串容器
要使用的解析引擎。
bs4并且html5lib是彼此的同义词，它们是两者都是为了向后兼容。默认
None尝试用于
lxml解析，如果失败，则返回到bs4 + html5lib.
回答by tgrrr
pip3 install -U html5lib=="0.9999999"
here's the html5lib bug on github
