Python TypeError:uuu init_uuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu；编码'；_Python_Python 3.x_Pandas

Python TypeError:uuu init_uuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu；编码'；

python python-3.x pandas

Python TypeError:uuu init_uuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu；编码'；,python,python-3.x,pandas,Python,Python 3.x,Pandas,在MacBookPro操作系统v10.13.2（17C88）上使用Spyder3，尝试在Python 3.6中使用pandas对表数据进行刮取。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_mar

在MacBookPro操作系统v10.13.2（17C88）上使用Spyder3，尝试在Python 3.6中使用pandas对表数据进行刮取。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'

我已经尝试过修复，但似乎是针对较旧的版本，而不是这种情况，因为我还没有导入html5lib

如果需要：

html5lib.版本为1.0.1
bs4.版本是4.6.0
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
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)
也许这就是根？如果是这样的话，我们需要帮助来解决这个问题
尝试安装
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
每个默认值使用lxml（
flavor=None
）：
flavor：str或None，字符串容器
要使用的解析引擎
bs4
和
html5lib
是同义词，它们是
两者都有向后兼容性。默认的
None
尝试
使用
lxml
进行解析，如果解析失败，则返回到
bs4+html5lib
这是我的建议

发件人：
您能逐字发布完整的回溯吗？
url2
与
url
相同吗？url2与url相同。更新了问题以改变这一点，并添加了跟踪。安装了Python distributive。重新启动。没有成功。我注意到我没有安装pandas_datareader。这会有效果吗？@user，你试过用Anaconda的ipython外壳运行它吗？我认为在这种情况下，您不需要pandas_datareader…从您发布的链接通过.pkg安装distributive。代码都在Spyder3的.py文件中运行。希望能回答这个问题——我不确定你指的是在ipython shell中运行的哪个“it”。
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

pip3 install -U html5lib=="0.9999999"