blocks|key|58795|text|(对我的评论进行一点扩展)|type|unstyled|depth|inlineStyleRanges|entityRanges|data|58796|Numpy开发人员通常遵循保持向后兼容的二进制接口(ABI)的策略。但是，ABI不是向前兼容的。|58797|这意味着：|58798|在编译的扩展中使用numpy的包是针对特定版本的numpy进行编译的。未来的numpy版本将与该包的已编译扩展兼容(例外情况见下文)。当用户更新到较新版本的numpy时，这些其他包的分发者不需要针对较新版本的numpy重新编译他们的包，并且用户也不需要更新这些其他包。|58799|然而，这并不是朝向相反的方向。如果一个包是针对特定的numpy版本进行编译的，比如1.7，那么就不能保证该包的二进制文件能够与较早的numpy版本(比如1.6+)一起工作，而且通常或大部分时间都不能。|58800|在安装了较旧版本的numpy时，针对最新版本numpy编译的pandas和statsmodel等包的二进制分发版将不起作用。有些包，例如matplotlib，如果我没记错的话，会根据它们支持的最旧的numpy版本编译它们的扩展。在这种情况下，使用相同旧版本或任何更新版本的numpy的用户都可以使用这些二进制文件。|58801|问题中的错误消息是二进制不兼容的典型结果。|58802|解决方案是获得一个二进制兼容的版本，或者通过至少将numpy更新到编译pandas或statsmodel时所用的版本，或者根据已经安装的numpy的旧版本重新编译pandas和statsmodel。|58803|打破ABI向后兼容性：|58804|有时，numpy中的改进或重构会破坏ABI的向后兼容性。在numpy+1.4.0中(无意中)发生了这种情况。因此，将numpy更新到1.4.0的用户与针对之前版本的numpy编译的所有其他编译包具有二进制不兼容性。这要求所有具有使用numpy的二进制扩展的包都必须重新编译，才能与ABI不兼容的版本一起工作。|58805|entityMap^0|0|0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|V|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|W|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|X|8|@]|9|@]|A|$]]|$1|F|3|G|5|6|7|Y|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|Z|8|@]|9|@]|A|$]]|$1|J|3|K|5|6|7|10|8|@]|9|@]|A|$]]|$1|L|3|M|5|6|7|11|8|@]|9|@]|A|$]]|$1|N|3|O|5|6|7|12|8|@]|9|@]|A|$]]|$1|P|3|Q|5|6|7|13|8|@]|9|@]|A|$]]|$1|R|3|S|5|6|7|14|8|@]|9|@]|A|$]]|$1|T|3|-4|5|6|7|15|8|@]|9|@]|A|$]]]|U|$]]

(to expand a bit on my comment)

Numpy developers follow in general a policy of keeping a backward compatible binary interface (ABI). However, the ABI is not forward compatible.

What that means:

A package, that uses numpy in a compiled extension, is compiled against a specific version of numpy. Future version of numpy will be compatible with the compiled extension of the package (for exception see below).
Distributers of those other packages do not need to recompile their package against a newer versions of numpy and users do not need to update these other packages, when users update to a newer version of numpy.

However, this does not go in the other direction. If a package is compiled against a specific numpy version, say 1.7, then there is no guarantee that the binaries of that package will work with older numpy versions, say 1.6, and very often or most of the time they will not.

The binary distribution of packages like pandas and statsmodels, that are compiled against a recent version of numpy, will not work when an older version of numpy is installed.
Some packages, for example matplotlib, if I remember correctly, compile their extensions against the oldest numpy version that they support. In this case, users with the same old or any more recent version of numpy can use those binaries.

The error message in the question is a typical result of binary incompatibilities.

The solution is to get a binary compatible version, either by updating numpy to at least the version against which pandas or statsmodels were compiled, or to recompile pandas and statsmodels against the older version of numpy that is already installed.

Breaking the ABI backward compatibility:

Sometimes improvements or refactorings in numpy break ABI backward compatibility. This happened (unintentionally) with numpy 1.4.0.
As a consequence, users that updated numpy to 1.4.0, had binary incompatibilities with all other compiled packages, that were compiled against a previous version of numpy. This requires that all packages with binary extensions that use numpy have to be recompiled to work with the ABI incompatible version.

blocks|key|58883|text|我在另一个库中遇到了类似的错误，并意识到我的系统上安装了几个版本的numpy。对我来说，修复方法是编辑我的PYTHONPATH，并将包含最新版本numpy的站点包放在第一位。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|58884|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

I had a similar error with another library and realized that I had several versions of numpy installed on my system. The fix for me was to edit my PYTHONPATH and put the site-packages that contained the latest version of numpy in first position.

blocks|key|275437|text|我在使用pandas访问MYSQL时也遇到了这个错误。此错误消息指示二进制兼容问题，可以通过使用最新版本的pandas和numpy包来解决。以下是我解决这个问题的步骤，它在我的Ubuntu+12.04上运行良好：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|275438|cd+/tmp/
wget+https://pypi.python.org/packages/source/p/pandas/pandas-0.12.0.tar.gz
tar+xzvf+pandas-0.12.0.tar.gz
cd+pandas-0.12.0
easy_install+--upgrade+numpy|code-block|syntax|javascript|275439|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

I also encounter this error when use pandas to access MYSQL.
This error message indicates a binary compatible issue and can be resolved by 
using latest version of pandas and numpy package. 
Here is my steps to resolve this issue, and it works well on my Ubuntu 12.04:

<pre><code>cd /tmp/
wget https://pypi.python.org/packages/source/p/pandas/pandas-0.12.0.tar.gz
tar xzvf pandas-0.12.0.tar.gz
cd pandas-0.12.0
easy_install --upgrade numpy
</code></pre>

blocks|key|58963|text|在我的例子中，我安装了pandas-0.10.0.win-amd64-py2.7，但正在检查更新版本的pandas中是否修复了bug。所以我做了一个easy_install+-U来强制升级，但由于与numpy等的一些不兼容而得到了上面的错误。当我这么做的时候|type|unstyled|depth|inlineStyleRanges|entityRanges|data|58964|import+pandas|code-block|syntax|javascript|58965|为了解决这个问题，我重新安装了pandas-0.10.0.win-amd64-py2.7二进制文件，一切正常。我没有看到这个答案(建议使用pip)，这可能对我(虽然不确定)+Install+particular+version+with+easy_install有帮助。|offset|length|58966|这也强调了为什么人们应该使用virtualenv+(我没有)。|58967|entityMap|0|LINK|mutability|MUTABLE|url|https://stackoverflow.com/questions/3833011/easy-install-force-a-version^0|0|0|2F|18|0|0|0^^$0|@$1|2|3|4|5|6|7|U|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|V|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|W|8|@]|9|@$I|X|J|Y|1|Z]]|A|$]]|$1|K|3|L|5|6|7|10|8|@]|9|@]|A|$]]|$1|M|3|-4|5|6|7|11|8|@]|9|@]|A|$]]]|N|$O|$5|P|Q|R|A|$S|T]]]]

In my case, I had installed pandas-0.10.0.win-amd64-py2.7 but was checking to see if a bug had been fixed in a more recent version of pandas. So I did an easy_install -U to force the upgrade, but then got the above error due to some incompatibilities with numpy etc... when I did 

<pre><code>import pandas
</code></pre>

To fix, I just reinstalled the pandas-0.10.0.win-amd64-py2.7 binary and everything works. I didn't see this answer (suggests to use pip) which may have helped me (though not sure) <a href="https://stackoverflow.com/questions/3833011/easy-install-force-a-version">Install particular version with easy_install</a>

Also this highlights why one should use virtualenv (which I wasn't).

blocks|key|59000|text|对于我(Mac+OS+X+Mavericks)来说，安装python2.6的版本是可行的：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|59001|sudo+port+install+py26-scikit-learn|code-block|syntax|javascript|59002|然后运行：|59003|python2.6+myscript.py|59004|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|N|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|O|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|P|8|@]|9|@]|A|$E|F]]|$1|K|3|-4|5|6|7|Q|8|@]|9|@]|A|$]]]|L|$]]

For me (Mac OS X Mavericks) it worked to install the version for python2.6:

<pre><code>sudo port install py26-scikit-learn
</code></pre>

then run:

<pre><code>python2.6 myscript.py
</code></pre>

blocks|key|275528|text|我发现它是一个过时或不匹配的简单版本，并通过以下方式进行了修复：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|275529|pip+install+--upgrade+numpy
pip+install+--upgrade+scipy
pip+install+--upgrade+pandas|code-block|syntax|javascript|275530|或者可以使用下面的一行代码：|275531|pip+install+--upgrade+numpy+scipy+pandas|275532|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|N|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|O|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|P|8|@]|9|@]|A|$E|F]]|$1|K|3|-4|5|6|7|Q|8|@]|9|@]|A|$]]]|L|$]]

I found it to be a simple version being outdated or mismatch and was fixed with: 

<pre><code>pip install --upgrade numpy
pip install --upgrade scipy
pip install --upgrade pandas
</code></pre>

Or might work with the one liner:

<pre><code>pip install --upgrade numpy scipy pandas
</code></pre>

blocks|key|275548|text|就像在here中一样，对我来说，只有sudo+pip+install+pandas==0.13.1可以工作|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|275549|entityMap|0|LINK|mutability|MUTABLE|url|https://stackoverflow.com/questions/24122850/pandas-valueerror-numpy-dtype-has-the-wrong-size-try-recompiling^0|I|V|3|4|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@$9|O|A|P|B|C]]|D|@$9|Q|A|R|1|S]]|E|$]]|$1|F|3|-4|5|6|7|T|8|@]|D|@]|E|$]]]|G|$H|$5|I|J|K|E|$L|M]]]]

As in <a href="https://stackoverflow.com/questions/24122850/pandas-valueerror-numpy-dtype-has-the-wrong-size-try-recompiling">here</a>, for me only <code>sudo pip install pandas==0.13.1</code> worked

blocks|key|59078|text|就像@user333700所说的那样，所需的库版本可能不会彼此满足。你得到一个库作为另一个库的依赖项。然后，在不知道它已经作为依赖项安装的情况下，您需要该特定库并安装一个版本。使用这种方式，依赖关系可能会变得一团糟。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|59079|我经历了这样一个案例，并寻找解决方案。找到这个：https://stackoverflow.com/a/12975518/1694344|offset|length|59080|我有两个不同版本的文件名和文件夹名：|59081|drwxr-xr-x.+19+root+root+++4096+Sep+25+15:00+numpy
drwxr-xr-x.++2+root+root+++4096+Sep+22+11:25+numpy-1.13.1.dist-info
-rw-r--r--.++1+root+root+++1630+Nov+20++2015+numpy-1.7.1-py2.7.egg-info|code-block|syntax|javascript|59082|我删除了它们，并用pip重新安装了numpy。|59083|entityMap|0|LINK|mutability|MUTABLE|url|https://stackoverflow.com/a/12975518/1694344^0|0|O|18|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|W|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|X|8|@]|9|@$D|Y|E|Z|1|10]]|A|$]]|$1|F|3|G|5|6|7|11|8|@]|9|@]|A|$]]|$1|H|3|I|5|J|7|12|8|@]|9|@]|A|$K|L]]|$1|M|3|N|5|6|7|13|8|@]|9|@]|A|$]]|$1|O|3|-4|5|6|7|14|8|@]|9|@]|A|$]]]|P|$Q|$5|R|S|T|A|$U|V]]]]

Like @user333700 said, required versions of libraries may not meet for each other. You get one library as another's dependency. Then without knowing it was already installed as dependency, you need that specific library and you install one version. With such ways dependencies may mess up.

I lived such a case and looked for a solution. Found this:
<a href="https://stackoverflow.com/a/12975518/1694344">https://stackoverflow.com/a/12975518/1694344</a>

I had two different versions for egg-info file and folder name of numpy:

<pre><code>drwxr-xr-x. 19 root root 4096 Sep 25 15:00 numpy
drwxr-xr-x. 2 root root 4096 Sep 22 11:25 numpy-1.13.1.dist-info
-rw-r--r--. 1 root root 1630 Nov 20 2015 numpy-1.7.1-py2.7.egg-info
</code></pre>

I removed them all and reinstalled numpy with pip.

blocks|key|275626|text|在某些情况下，您希望保留特定的NumPy版本，并且此处提到的升级选项将不起作用。我想到的一个例子是预装了ArcGIS的Python发行版。要让ArcPy在ArcGIS+10.5.1中工作，该发行版需要是带有NumPy+1.9.3的Python2.7.12，而任何其他版本的NumPy都可能会导致您的ArcPy功能出现问题。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|275627|对于这种情况，您可以做的是尝试安装一个特定的旧版本的有问题的第三方库，该库应该与ArcGIS的旧NumPy版本兼容。|275628|例如，scikit+Learn0.19.1不能与NumPy+1.9.3一起运行，并且会导致您提到的相同错误。但是，scikit-learn+0.15运行得很好。您可以测试不同的版本以找到可以工作的版本。只需通过pip提及版本号：|275629|python+-m+pip+install+scikit-learn==0.15|code-block|syntax|javascript|275630|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|N|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|O|8|@]|9|@]|A|$]]|$1|F|3|G|5|H|7|P|8|@]|9|@]|A|$I|J]]|$1|K|3|-4|5|6|7|Q|8|@]|9|@]|A|$]]]|L|$]]

There are cases where you want to keep a specific NumPy version and the upgrade option mentioned here will not work. 
An example that occurred to me was the Python distribution preinstalled with ArcGIS. For ArcPy to work in ArcGIS 10.5.1, that distribution needs to be Python 2.7.12 with NumPy 1.9.3 and any other version of NumPy is probably going to cause issues with your ArcPy functionality. 

What you can do with this case is try to install a specific, older version of the problematic third-party library that is supposed to be compatible with the older NumPy version that ArcGIS has. 

For instance, scikit-learn 0.19.1 would NOT operate with NumPy 1.9.3 and would result in the same error you mentioned. However, scikit-learn 0.15 works fine. You can test different versions to find the one that works. Just mention the version number through pip:

<pre><code>python -m pip install scikit-learn==0.15
</code></pre>

blocks|key|59170|text|我也遇到过类似的问题，像之前评论中建议的那样，简单地使用pip+install+...重新安装并不起作用。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|59171|对我来说起作用的是用添加了标志的pip+install+--no-cache-dir+...重新安装，似乎在缓存中的某个地方有一个不兼容的numpy版本。|59172|entityMap^0|S|F|0|G|U|0^^$0|@$1|2|3|4|5|6|7|J|8|@$9|K|A|L|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|M|8|@$9|N|A|O|B|C]]|D|@]|E|$]]|$1|H|3|-4|5|6|7|P|8|@]|D|@]|E|$]]]|I|$]]

I had a similar issue, and simply re-installing using <code>pip install ...</code> as suggested in previous comments didn't work.

What worked for me was re-installing with the added flag <code>pip install --no-cache-dir ...</code>, seems there was an incompatible numpy version somewhere in the cache.

I just installed pandas and statsmodels package on my python 2.7
When I tried "import pandas as pd", this error message comes out.
Can anyone help? Thanks!!!

<pre><code>numpy.dtype has the wrong size, try recompiling
Traceback (most recent call last):
 File "&lt;stdin&gt;", line 1, in &lt;module&gt;
 File "C:\analytics\ext\python27\lib\site-packages\statsmodels-0.5.0-py2.7-win32.egg\statsmodels\formula\__init__.py",
line 4, in &lt;module&gt;
 from formulatools import handle_formula_data
 File "C:\analytics\ext\python27\lib\site-packages\statsmodels-0.5.0-py2.7-win32.egg\statsmodels\formula\formulatools.p
y", line 1, in &lt;module&gt;
 import statsmodels.tools.data as data_util
 File "C:\analytics\ext\python27\lib\site-packages\statsmodels-0.5.0-py2.7-win32.egg\statsmodels\tools\__init__.py", li
ne 1, in &lt;module&gt;
 from tools import add_constant, categorical
 File "C:\analytics\ext\python27\lib\site-packages\statsmodels-0.5.0-py2.7-win32.egg\statsmodels\tools\tools.py", line
14, in &lt;module&gt;
 from pandas import DataFrame
 File "C:\analytics\ext\python27\lib\site-packages\pandas\__init__.py", line 6, in &lt;module&gt;
 from . import hashtable, tslib, lib
 File "numpy.pxd", line 157, in init pandas.tslib (pandas\tslib.c:49133)
ValueError: numpy.dtype has the wrong size, try recompiling
</code></pre>

ValueError: numpy.dtype has the wrong size, try recompiling

Python

Ubuntu

我刚刚在我的python2.7上安装了pandas和statsmodel包，当我尝试"import pandas as pd“时，这个错误信息就出来了。有人能帮上忙吗？谢谢！numpy.dtype has the wrong size, try recompilingTraceback (most recent cal...

问ValueError: numpy.dtype的大小错误，请尝试重新编译
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