blocks|key|1812478|text|你是否安装了没有依赖项的miniconda和pandas？|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1812479|尝试先在conda+install+numpy或pip+install+numpy上安装numpy。|offset|length|style|CODE|1812480|如果你在Windows上，你可以得到大多数需要从here编译的库的预编译版本。|1812481|entityMap|0|LINK|mutability|MUTABLE|url|http://www.lfd.uci.edu/~gohlke/pythonlibs/^0|0|4|J|O|H|0|O|4|0|0^^$0|@$1|2|3|4|5|6|7|R|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|S|8|@$D|T|E|U|F|G]|$D|V|E|W|F|G]]|9|@]|A|$]]|$1|H|3|I|5|6|7|X|8|@]|9|@$D|Y|E|Z|1|10]]|A|$]]|$1|J|3|-4|5|6|7|11|8|@]|9|@]|A|$]]]|K|$L|$5|M|N|O|A|$P|Q]]]]

Did you install miniconda and pandas without dependencies? 

Try installing numpy first with <code>conda install numpy</code> or <code>pip install numpy</code>. 

If you're on Windows you can get pre-compiled versions of most libraries that require compilation from <a href="http://www.lfd.uci.edu/~gohlke/pythonlibs/" rel="nofollow noreferrer">here</a>.

blocks|key|3922573|text|在将pandas升级到0.19.2后，我立即遇到了同样的问题。我用windows+cmd行中的以下安装/卸载序列修复了这个问题：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3922574|pip+uninstall+pandas+-y
pip+uninstall+numpy+-y
pip+install+pandas
pip+install+numpy|code-block|syntax|javascript|3922575|这也破坏了我的matplotlib安装，所以我也卸载了它。|3922576|对于一个看似例行公事的升级来说，行为非常奇怪。|3922577|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]]|$1|G|3|H|5|6|7|O|8|@]|9|@]|A|$]]|$1|I|3|J|5|6|7|P|8|@]|9|@]|A|$]]|$1|K|3|-4|5|6|7|Q|8|@]|9|@]|A|$]]]|L|$]]

I had this same issue immediately after upgrading pandas to 0.19.2. I fixed it with the following install/uninstall sequence from the windows cmd line:

<pre><code>pip uninstall pandas -y
pip uninstall numpy -y
pip install pandas
pip install numpy
</code></pre>

This also broke my matplotlib install so I uninstalled/installed that as well.

Very odd behavior for a seemingly routine upgrade.

blocks|key|3922591|text|我的anaconda包也有同样的问题，它已经更新了。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3922592|anaconda++{4.3.1+->+custom}+##+I+am+not+sure+if+this+was+the+issue|code-block|syntax|javascript|3922593|点击下面的命令以了解|3922594|conda+list+--revisions|3922595|我所做的就是用conda卸载pandas，然后重新安装。|3922596|conda+install+pandas|3922597|一些新的库也可能会随它一起安装。|3922598|它对我起作用了，希望也能对你起作用。|3922599|entityMap^0|0|0|0|0|0|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]]|$1|G|3|H|5|6|7|W|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|X|8|@]|9|@]|A|$E|F]]|$1|K|3|L|5|6|7|Y|8|@]|9|@]|A|$]]|$1|M|3|N|5|D|7|Z|8|@]|9|@]|A|$E|F]]|$1|O|3|P|5|6|7|10|8|@]|9|@]|A|$]]|$1|Q|3|R|5|6|7|11|8|@]|9|@]|A|$]]|$1|S|3|-4|5|6|7|12|8|@]|9|@]|A|$]]]|T|$]]

I had the same issue with anaconda package, it got updated.

<pre><code>anaconda {4.3.1 -&gt; custom} ## I am not sure if this was the issue
</code></pre>

Hit below command to know

<pre><code>conda list --revisions
</code></pre>

what i did is just uninstall pandas with conda and re-install it

<pre><code>conda install pandas
</code></pre>

Some new libs may also get installed with it.

It worked for me hope will do the same for you.

blocks|key|5340276|text|build_exe_options+=+{"packages":+["os",'pandas','numpy']}|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|5340277|它起作用了。|5340278|entityMap^0|0|1L|0|0^^$0|@$1|2|3|4|5|6|7|J|8|@$9|K|A|L|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|M|8|@]|D|@]|E|$]]|$1|H|3|-4|5|6|7|N|8|@]|D|@]|E|$]]]|I|$]]

<code>build_exe_options = {"packages": ["os",'pandas','numpy']}</code>

It works.

blocks|key|5340296|text|pandas的数据操作功能构建在numpy库之上。在某种程度上，numpy是pandas库的依赖项。如果你想使用pandas，你必须确保你也有numpy。当您使用pip安装pandas时，它会自动安装numpy。如果没有，请尝试执行以下操作|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|5340297|5340298|+pip+install+-U+numpy+pandas|blockquote|5340299|5340300|5340301|对于conda|5340302|5340303|+conda+install+numpy+pandas|5340304|5340305|entityMap^0|29|3|0|0|1|R|0|0|0|0|0|1|Q|0|0^^$0|@$1|2|3|4|5|6|7|T|8|@$9|U|A|V|B|C]]|D|@]|E|$]]|$1|F|3|-4|5|6|7|W|8|@]|D|@]|E|$]]|$1|G|3|H|5|I|7|X|8|@$9|Y|A|Z|B|C]]|D|@]|E|$]]|$1|J|3|-4|5|6|7|10|8|@]|D|@]|E|$]]|$1|K|3|-4|5|6|7|11|8|@]|D|@]|E|$]]|$1|L|3|M|5|6|7|12|8|@]|D|@]|E|$]]|$1|N|3|-4|5|6|7|13|8|@]|D|@]|E|$]]|$1|O|3|P|5|I|7|14|8|@$9|15|A|16|B|C]]|D|@]|E|$]]|$1|Q|3|-4|5|6|7|17|8|@]|D|@]|E|$]]|$1|R|3|-4|5|6|7|18|8|@]|D|@]|E|$]]]|S|$]]

The data manipulation capabilities of pandas are built on top of the numpy library. In a way, numpy is a dependency of the pandas library. If you want to use pandas, you have to make sure you also have numpy. When you install pandas using <code>pip</code>, it automatically installs numpy. If it doesn't, try the following 

<blockquote>
 <code>pip install -U numpy pandas</code>
</blockquote>

For conda

<blockquote>
 <code>conda install numpy pandas</code>
</blockquote>

blocks|key|5340328|text|如果尝试导入numpy，会发生什么情况？|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5340329|你试过了吗？|5340330|pip+install+--upgrade+numpy
pip+install+--upgrade+pandas|code-block|syntax|javascript|5340331|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|L|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|M|8|@]|9|@]|A|$G|H]]|$1|I|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|J|$]]

What happens if you try to import numpy? 

Have you tried'

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

blocks|key|5340337|text|我不得不安装另一个包：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5340338|sudo+apt-get+install+libatlas-base-dev|code-block|syntax|javascript|5340339|它似乎是numpy的一个依赖项，但pip或apt-get出于某种原因并不会自动安装它。|offset|length|style|CODE|5340340|entityMap^0|0|0|4|5|H|3|L|7|0^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|P|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|Q|8|@$I|R|J|S|K|L]|$I|T|J|U|K|L]|$I|V|J|W|K|L]]|9|@]|A|$]]|$1|M|3|-4|5|6|7|X|8|@]|9|@]|A|$]]]|N|$]]

I had to install this other package:

<pre><code>sudo apt-get install libatlas-base-dev
</code></pre>

Seems like it is a dependency for <code>numpy</code> but the <code>pip</code> or <code>apt-get</code> don't install it automatically for whatever reason.

blocks|key|1528605|text|卸载您遇到问题的所有pip包。手动删除所有站点包文件。如果您使用的是MacPorts，则使用sudo端口清理。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1528606|然后尝试重新安装。有时，有些文件本应删除，但如果安装突然中断或其他原因，则不会删除。|1528607|可能存在软件包版本冲突的问题，也可能存在与路径有关的潜在问题。您确定已经为二进制文件设置了正确的路径吗？(/opt/local/bin、/anaconda2/bin等)|1528608|另一个问题可能是某些PYTHONPATH显式地在错误的位置查找文件。|1528609|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|J|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|K|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|L|8|@]|9|@]|A|$]]|$1|F|3|G|5|6|7|M|8|@]|9|@]|A|$]]|$1|H|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|I|$]]

Uninstall all pip packages that you're having problems with. Manually remove all site-packages files. If you're using MacPorts, sudo port clean .

Then try reinstalling. Sometimes, there are files that should have been removed, but weren't if the installation was abruptly interrupted or something.

There could be an issue with conflicting versions of the package(s), as well as potentially issues with Pathing. Are you sure you've set the correct Path for your binaries? (/opt/local/bin, /anaconda2/bin, etc.)

Another issue could be some PYTHONPATH that's explicitly looking in the wrong place for the file.

blocks|key|1812639|text|我也面临着同样的问题。这发生在我升级了我的numpy库之后。在我的例子中，在使用以下命令升级numpy库之后，通过升级我的pandas库也解决了这个问题：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1812640|pip+install+--upgrade+pandas|code-block|syntax|javascript|1812641|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 faced the same issue. It happened to me after I upgraded my numpy library. 
It was resolved in my case by upgrading my pandas library as well after upgrading my numpy library using the below command:

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

blocks|key|1812657|text|我最近用Anaconda和Python3.7也遇到了同样的问题。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1812658|我通过将python版本降级到3.6解决了这个问题：|1812659|conda+install+python=3.6|code-block|syntax|javascript|1812660|然后通过更新所有包：|1812661|conda+update+--all|1812662|entityMap^0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|P|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|Q|8|@]|9|@]|A|$G|H]]|$1|I|3|J|5|6|7|R|8|@]|9|@]|A|$]]|$1|K|3|L|5|F|7|S|8|@]|9|@]|A|$G|H]]|$1|M|3|-4|5|6|7|T|8|@]|9|@]|A|$]]]|N|$]]

I had a same issue recently with Anaconda with Python 3.7.

I solved this problem by downgrading python version to 3.6:

<pre><code>conda install python=3.6
</code></pre>

and then by updating all the packages:

<pre><code>conda update --all
</code></pre>

blocks|key|1528645|text|在Windows10+Anaconda3-5.3.0-+Windows+-x86_64上，运行脚本%25HOMEPATH%25\AppData\Local\Continuum\anaconda3\python.exe+pandas_script_foo.py时出现Missing+required+dependencies+['numpy']错误。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1528646|在我的例子中，这个错误是由于在windows+cmd.exe会话中运行Anaconda+python.exe时缺少Anaconda包路径定义而导致的。numpy包并没有丢失。只是在路上找不到它。|1528647|Anaconda安装包括windows快捷方式，这些快捷方式提供了配置每个脚本运行的路径的示例。有关示例，请参阅%25HOMEPATH%25\AppData\Roaming\Microsoft\Windows\Start+Menu\Programs\Anaconda3+(64-bit)目录中的快捷方式。请参阅%25HOMEPATH%25\AppData\Local\Continuum\anaconda3\cwp.py脚本，了解蟒蛇如何配置PATH。|1528648|下面是一个示例windows+BAT文件，它调用cwp.py来设置路径，然后运行python脚本。它是Anaconda+jupyter-lab快捷方式执行的命令的副本。|1528649|%25HOMEPATH%25\AppData\Local\Continuum\anaconda3\python.exe+%5E
%25HOMEPATH%25\AppData\Local\Continuum\anaconda3\cwp.py+%5E
%25HOMEPATH%25\AppData\Local\Continuum\anaconda3+%5E
%25HOMEPATH%25\AppData\Local\Continuum\anaconda3\python.exe+%5E
%25HOMEPATH%25\AppData\Local\Continuum\anaconda3\Scripts\jupyter-lab-script.py|code-block|syntax|javascript|1528650|如果您需要在Anaconda上执行python脚本，只需运行一个BAT文件，上面的BAT文件示例就可以做到这一点。|1528651|entityMap^0|1D|24|3K|13|0|0|1K|2B|47|1F|0|0|0|0^^$0|@$1|2|3|4|5|6|7|U|8|@$9|V|A|W|B|C]|$9|X|A|Y|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|Z|8|@]|D|@]|E|$]]|$1|H|3|I|5|6|7|10|8|@$9|11|A|12|B|C]|$9|13|A|14|B|C]]|D|@]|E|$]]|$1|J|3|K|5|6|7|15|8|@]|D|@]|E|$]]|$1|L|3|M|5|N|7|16|8|@]|D|@]|E|$O|P]]|$1|Q|3|R|5|6|7|17|8|@]|D|@]|E|$]]|$1|S|3|-4|5|6|7|18|8|@]|D|@]|E|$]]]|T|$]]

On Windows 10 Anaconda3-5.3.0-Windows-x86_64 I had the <code>Missing required dependencies ['numpy']</code> error when running scripts as so, <code>%HOMEPATH%\AppData\Local\Continuum\anaconda3\python.exe pandas_script_foo.py</code>.

In my case the error was caused by missing Anaconda package PATH definitions when running Anaconda python.exe in a windows cmd.exe session. The numpy package is not missing. It just can't be found on the PATH.

The Anaconda installation includes windows shortcuts that give examples of configuring the PATH per script run. See the shortcuts in the <code>%HOMEPATH%\AppData\Roaming\Microsoft\Windows\Start Menu\Programs\Anaconda3 (64-bit)</code> directory for examples.
See the <code>%HOMEPATH%\AppData\Local\Continuum\anaconda3\cwp.py</code> script to see how Anaconda configures PATH.

Below is an example windows BAT file that calls cwp.py to setup PATH, and then run a python script. Its a copy of the commands the Anaconda jupyter-lab shortcut executes. 

<pre><code>%HOMEPATH%\AppData\Local\Continuum\anaconda3\python.exe ^
%HOMEPATH%\AppData\Local\Continuum\anaconda3\cwp.py ^
%HOMEPATH%\AppData\Local\Continuum\anaconda3 ^
%HOMEPATH%\AppData\Local\Continuum\anaconda3\python.exe ^
%HOMEPATH%\AppData\Local\Continuum\anaconda3\Scripts\jupyter-lab-script.py
</code></pre>

If you need to execute python scripts on Anaconda with the conveniance of running a BAT file, the above BAT file example should do the trick.

blocks|key|5340488|text|pandas构建在numpy之上，因此您需要有numpy才能使用数据操作特性，因此请先安装numpy。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5340489|pip+install+numpy+|code-block|syntax|javascript|5340490|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|$]]

pandas is built on top of numpy so you need to have numpy to use the data manipulation feature, so install numpy first. 

<pre><code>pip install numpy 
</code></pre>

blocks|key|1812751|text|这在我的anaconda环境中可以工作，但我不知道为什么conda不能工作。由于某些原因，conda+uninstall是不够的。这只适用于conda+remove。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1812752|conda+remove+pandas
conda+remove+numpy
conda+install+pip
pip+install+pandas|code-block|syntax|javascript|1812753|*借助this+answer的帮助|1812754|这会在python+3.6和3.7中引发以下导入警告：|1812755|ImportWarning:+can't+resolve+package+from+__spec__+or+__package__,+falling+back+on+__name__+and+__path__|1812756|如果要忽略此警告(可能还有其他ImportWarning)，请在导入pandas之前将以下内容添加到脚本中：|1812757|import+warnings
warnings.filterwarnings('ignore',+category=ImportWarning,+module='_bootstrap.py')|1812758|entityMap|0|LINK|mutability|MUTABLE|url|https://stackoverflow.com/a/50715976/5135820^0|19|F|1Y|C|0|0|3|B|0|0|0|0|F|D|0|0^^$0|@$1|2|3|4|5|6|7|12|8|@$9|13|A|14|B|C]|$9|15|A|16|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|17|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|18|8|@]|D|@$9|19|A|1A|1|1B]]|E|$]]|$1|M|3|N|5|6|7|1C|8|@]|D|@]|E|$]]|$1|O|3|P|5|H|7|1D|8|@]|D|@]|E|$I|J]]|$1|Q|3|R|5|6|7|1E|8|@$9|1F|A|1G|B|C]]|D|@]|E|$]]|$1|S|3|T|5|H|7|1H|8|@]|D|@]|E|$I|J]]|$1|U|3|-4|5|6|7|1I|8|@]|D|@]|E|$]]]|V|$W|$5|X|Y|Z|E|$10|11]]]]

This worked in my anaconda environment, but I do not know why conda does not work. For some reason <code>conda uninstall</code> was not sufficient. This only worked with <code>conda remove</code>.

<pre><code>conda remove pandas
conda remove numpy
conda install pip
pip install pandas
</code></pre>

*With help from <a href="https://stackoverflow.com/a/50715976/5135820">this answer</a>

This raises the following import warning in python 3.6 and 3.7:

<pre><code>ImportWarning: can't resolve package from __spec__ or __package__, falling back on __name__ and __path__
</code></pre>

If you with to ignore this warning (and maybe other <code>ImportWarning</code>s), add the following to your script before importing pandas:

<pre><code>import warnings
warnings.filterwarnings('ignore', category=ImportWarning, module='_bootstrap.py')
</code></pre>

blocks|key|1528709|text|在我的例子中，即使我使用上面的卸载和使用pip安装的选项，代码仍然给我相同的错误。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1528710|最后，我创建了一个虚拟环境，并在我的虚拟环境中使用pip安装了numpy和pandas。现在代码正在运行。|1528711|步骤:对于Anaconda3+-请根据您的安装类型进行更改:如果您没有安装虚拟环境包|1528712|$+pip+install+virtualenv|code-block|syntax|javascript|1528713|[从命令提示符转到c:\anadonda3\scripts所在的目录|1528714|编写以下命令以使用虚拟环境在所需位置为您创建虚拟环境|1528715|$virtualenv+c:\anaconda3\envs\my_virtual_env|1528716|创建后，您必须激活虚拟环境|1528717|$c:\anaconda3\envs\my_virtual_env\scripts+activate|1528718|现在，pip使用pip安装numpy和pandas以及其他所需的软件包。|1528719|安装完成后，退出虚拟环境|1528720|$c:\anaconda3\envs\my_virtual_env\scripts+deactivate|1528721|现在使用虚拟环境文件夹中的python.exe来运行该脚本，它甚至可以在Python3.7中运行。|1528722|entityMap^0|0|0|0|0|0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|14|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|15|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|16|8|@]|9|@]|A|$]]|$1|F|3|G|5|H|7|17|8|@]|9|@]|A|$I|J]]|$1|K|3|L|5|6|7|18|8|@]|9|@]|A|$]]|$1|M|3|N|5|6|7|19|8|@]|9|@]|A|$]]|$1|O|3|P|5|H|7|1A|8|@]|9|@]|A|$I|J]]|$1|Q|3|R|5|6|7|1B|8|@]|9|@]|A|$]]|$1|S|3|T|5|H|7|1C|8|@]|9|@]|A|$I|J]]|$1|U|3|V|5|6|7|1D|8|@]|9|@]|A|$]]|$1|W|3|X|5|6|7|1E|8|@]|9|@]|A|$]]|$1|Y|3|Z|5|H|7|1F|8|@]|9|@]|A|$I|J]]|$1|10|3|11|5|6|7|1G|8|@]|9|@]|A|$]]|$1|12|3|-4|5|6|7|1H|8|@]|9|@]|A|$]]]|13|$]]

In my case even though I was using the above options of uninstall and installing using pip the code was still giving me same errors.

Finally, I created a vritual environment and Installed numpy and pandas using pip in my virtual env. Now the code is running.

Steps: for Anaconda3 - Please change according to your installation type:
[if you dont have virtual env package installed]

<pre><code>$ pip install virtualenv
</code></pre>

[from command prompt go to the directory by c:\anadonda3\scripts

[write the following command to use virtual env to create a virtual env for you in your desired location]

<pre><code>$virtualenv c:\anaconda3\envs\my_virtual_env
</code></pre>

[once created you will have to activate your virtual env]

<pre><code>$c:\anaconda3\envs\my_virtual_env\scripts activate
</code></pre>

[now pip install numpy and pandas and other required packages using pip]

[once installations are done exit from the virtual env]

<pre><code>$c:\anaconda3\envs\my_virtual_env\scripts deactivate
</code></pre>

now use the python.exe inside your virtual env folder to run the script and it will run even with python 3.7.

blocks|key|1528728|text|尝试：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1528729|++++sudo+apt-get+install+libatlas-base-dev|code-block|syntax|javascript|1528730|它现在应该可以工作了。|1528731|否则，请尝试卸载并重新安装numpy和pandas。|1528732|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]]|$1|G|3|H|5|6|7|O|8|@]|9|@]|A|$]]|$1|I|3|J|5|6|7|P|8|@]|9|@]|A|$]]|$1|K|3|-4|5|6|7|Q|8|@]|9|@]|A|$]]]|L|$]]

Try:

<pre><code> sudo apt-get install libatlas-base-dev
</code></pre>

It should work now. 

Else, try uninstall and reinstall numpy and pandas.

blocks|key|1524147|text|我正在使用Win10和Conda，这个问题是在升级python+3.7.2-h8c8aaf0_0+-->+3.7.2-h8c8aaf0_2时附加到我身上的。我通过返回到以前的版本解决了这个问题|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1524148|conda+install+python=3.7.2=h8c8aaf0_0|code-block|syntax|javascript|1524149|entityMap^0|W|11|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|P|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|Q|8|@]|D|@]|E|$]]]|L|$]]

I am using Win10 and Conda, and this issue just append to me when upgrading python <code>3.7.2-h8c8aaf0_0 --&gt; 3.7.2-h8c8aaf0_2</code>.
I solved it by return to the previous version with

<pre><code>conda install python=3.7.2=h8c8aaf0_0
</code></pre>

blocks|key|1812880|text|如果你在Windows的PyCharm上运行你的程序，有一个known+bug，因为PyCharm根本不会将与环境相关的路径添加到PATH中。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1812881|此问题已在the+2019.1+Early+Access+Preview+(EAP)+build中修复。|1812882|对我来说，安装EAP解决了这个问题。|1812883|entityMap|0|LINK|mutability|MUTABLE|url|https://youtrack.jetbrains.com/issue/PY-32366|1|https://www.jetbrains.com/community/eap/^0|U|9|0|0|5|17|1|0|0^^$0|@$1|2|3|4|5|6|7|R|8|@]|9|@$A|S|B|T|1|U]]|C|$]]|$1|D|3|E|5|6|7|V|8|@]|9|@$A|W|B|X|1|Y]]|C|$]]|$1|F|3|G|5|6|7|Z|8|@]|9|@]|C|$]]|$1|H|3|-4|5|6|7|10|8|@]|9|@]|C|$]]]|I|$J|$5|K|L|M|C|$N|O]]|P|$5|K|L|M|C|$N|Q]]]]

If you're running your program on PyCharm on Windows, there is a <a href="https://youtrack.jetbrains.com/issue/PY-32366" rel="nofollow noreferrer">known bug</a>, because PyCharm simply doesn't add env-related paths to PATH. 

The issue is fixed in <a href="https://www.jetbrains.com/community/eap/" rel="nofollow noreferrer">the 2019.1 Early Access Preview (EAP) build</a>.

For me installing the EAP fixed the issue.

blocks|key|5340736|text|我也有同样的问题。这是因为我安装了多个版本的numpy。通过重复使用以下命令删除所有版本：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|5340737|pip+uninstall+numpy|5340738|然后使用以下命令重新安装它：|5340739|pip+install+numpy|5340740|entityMap^0|M|5|0|0|J|0|0|0|H|0^^$0|@$1|2|3|4|5|6|7|N|8|@$9|O|A|P|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|Q|8|@$9|R|A|S|B|C]]|D|@]|E|$]]|$1|H|3|I|5|6|7|T|8|@]|D|@]|E|$]]|$1|J|3|K|5|6|7|U|8|@$9|V|A|W|B|C]]|D|@]|E|$]]|$1|L|3|-4|5|6|7|X|8|@]|D|@]|E|$]]]|M|$]]

I had the same issue. It was because I had multiple versions of <code>numpy</code> installed. Remove all versions by repeatedly using:

<code>pip uninstall numpy</code>

Then re-install it with the command:

<code>pip install numpy</code>

blocks|key|5340765|text|对我来说什么都不管用。除了当我发现这个|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5340766|I+suspect+that+you+have+a+local+file+called+unittest.py+that+is+getting+imported+instead+of+the+standard+module.|code-block|syntax|javascript|5340767|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|$]]

nothing worked for me ... except when I found this 

<pre><code>I suspect that you have a local file called unittest.py that is getting imported instead of the standard module.
</code></pre>

blocks|key|5340843|text|首先，尝试自己导入numpy，如下所示：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5340844|import+numpy+as+np|code-block|syntax|javascript|5340845|我收到了这样的消息：|5340846|ImportError:+Something+is+wrong+with+the+numpy+installation.+While+importing+
we+detected+an+older+version+of+numpy+in+
['/home/michael/.local/lib/python3.6/site-packages/numpy'].+One+method+of+
fixing+this+is+to+repeatedly+uninstall+numpy+until+none+is+found,+then+
reinstall+this+version.|5340847|所以照它说的做，一直卸载numpy直到没有，然后重新安装。|5340848|这对我很有效。|5340849|entityMap^0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|R|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|S|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|T|8|@]|9|@]|A|$E|F]]|$1|K|3|L|5|6|7|U|8|@]|9|@]|A|$]]|$1|M|3|N|5|6|7|V|8|@]|9|@]|A|$]]|$1|O|3|-4|5|6|7|W|8|@]|9|@]|A|$]]]|P|$]]

First, try to import numpy on it's own, like so:

<pre><code>import numpy as np
</code></pre>

I got this message: 

<pre><code>ImportError: Something is wrong with the numpy installation. While importing 
we detected an older version of numpy in 
['/home/michael/.local/lib/python3.6/site-packages/numpy']. One method of 
fixing this is to repeatedly uninstall numpy until none is found, then 
reinstall this version.
</code></pre>

So do what it says, keep uninstalling numpy until there is none, and then reinstall.

This worked for me.

blocks|key|1524259|text|我在最新版本的numpy+1.16.x上遇到了这个问题|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1524260|使用解决的问题|1524261|1524262|+python3+-m+pip+uninstall+numpy|blockquote|offset|length|style|CODE|1524263|1524264|python3+-m+pip+install+numpy==1.14.0|1524265|entityMap^0|0|0|0|1|U|0|0|0|10|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|R|8|@]|9|@]|A|$]]|$1|D|3|-4|5|6|7|S|8|@]|9|@]|A|$]]|$1|E|3|F|5|G|7|T|8|@$H|U|I|V|J|K]]|9|@]|A|$]]|$1|L|3|-4|5|6|7|W|8|@]|9|@]|A|$]]|$1|M|3|N|5|6|7|X|8|@$H|Y|I|Z|J|K]]|9|@]|A|$]]|$1|O|3|-4|5|6|7|10|8|@]|9|@]|A|$]]]|P|$]]

I had this problem with last version of numpy 1.16.x
Problem resolved with
<blockquote>
<code>python3 -m pip uninstall numpy</code>
<code>python3 -m pip install numpy==1.14.0</code>
</blockquote>

blocks|key|1524273|text|我试图用anaconda+3升级我的anaconda+2。我尝试在我的Windows+10机器上安装Anaconda3-2018.12-Windows-x86和Anaconda3-2019.03-Windows-x86_64，但失败了，并显示以下错误。对我来说，对anaconda+3使用Anaconda3-4.4.0-Windows-x86_64，在尝试了这里列出的所有答案后，效果很好。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1524274|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 was trying to upgrade my anaconda 2 with anaconda 3. I tried installing Anaconda3-2018.12-Windows-x86 and Anaconda3-2019.03-Windows-x86_64 on my Windows 10 machine and failed with this error. For me, using Anaconda3-4.4.0-Windows-x86_64 for anaconda 3 worked the trick after trying everything listed in answers here.

blocks|key|5340933|text|我使用Anaconda修复了这个问题，方法是转到Environment>+base(root)，在已安装的模块中搜索numpy，单击它旁边的复选框，然后选择>+Mark+for+specific+version+installation+>+1.14.0+(这是另一个用户在此帖子上建议的)。然后单击Apply。一旦它降级numpy，我就不再在命令行上运行py文件时得到错误。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5340934|在整个故事中，我仍然能够使用https://pypi.org/project/auto-py-to-exe/，即使我在命令行上遇到了numpy错误，但每次我想测试一个更改时，创建一个可执行文件是一件麻烦的事情。现在都整理好了。我猜是numpy+1.16.4出了问题。|offset|length|5340935|无论如何，我希望这对正在使用Anaconda的人也有帮助。|5340936|entityMap|0|LINK|mutability|MUTABLE|url|https://pypi.org/project/auto-py-to-exe/^0|0|E|14|0|0|0^^$0|@$1|2|3|4|5|6|7|P|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|Q|8|@]|9|@$D|R|E|S|1|T]]|A|$]]|$1|F|3|G|5|6|7|U|8|@]|9|@]|A|$]]|$1|H|3|-4|5|6|7|V|8|@]|9|@]|A|$]]]|I|$J|$5|K|L|M|A|$N|O]]]]

I fixed this using Anaconda by going to Environments > base(root), searching for numpy in the installed modules and clicking the tickbox alongside it and choosing > Mark for specific version installation > 1.14.0 (as suggested by another user on this thread). Then clicking Apply. Once it downgraded numpy I stopped getting errors when running py files on the command line.

Throughout this saga, I was still able to use <a href="https://pypi.org/project/auto-py-to-exe/" rel="nofollow noreferrer">https://pypi.org/project/auto-py-to-exe/</a> even when I was getting the numpy errors on the command line, but it was a hassle to create an exe every time I wanted to test a change. It's all sorted now. I guess there was a problem with numpy 1.16.4.

Anyway, I hope this helps someone who's using Anaconda as well.

blocks|key|5340946|text|下面的方法对我很有效。从site-packages文件夹中完全删除了numpy和pandas的文件夹及其内容。根据您使用的是python2还是python3进行检查。根据您的计算机检查确切的路径。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5340947|5340948|使用care+"rm+-rf"+命令处理N.B。如果您不确定自己在做什么，请使用您选择的任何文件资源管理器手动执行此操作！！|offset|length|style|BOLD|5340949|~/anaconda2/envs/myenv/lib/pythonX/site-packages/pandas*|5340950|rm+~/anaconda2/envs/myenv/lib/pythonX/site-packages/numpy*|unordered-list-item|5340951|
+|5340952|rm+-rf+-rf|ordered-list-item|5340953|5340954|然后我像往常一样为pandas和numpy安装了干净的包。|5340955|5340956|pip+install+numpy|5340957|pip+install+pandas|5340958|5340959|entityMap^0|0|0|7|8|G|1A|0|0|1K|0|0|1M|0|0|0|A|0|0|0|T|0|0|0|H|0|0|I|0|0^^$0|@$1|2|3|4|5|6|7|13|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|14|8|@]|9|@]|A|$]]|$1|C|3|D|5|6|7|15|8|@$E|16|F|17|G|H]|$E|18|F|19|G|H]]|9|@]|A|$]]|$1|I|3|J|5|6|7|1A|8|@$E|1B|F|1C|G|H]]|9|@]|A|$]]|$1|K|3|L|5|M|7|1D|8|@$E|1E|F|1F|G|H]]|9|@]|A|$]]|$1|N|3|O|5|6|7|1G|8|@]|9|@]|A|$]]|$1|P|3|Q|5|R|7|1H|8|@$E|1I|F|1J|G|H]]|9|@]|A|$]]|$1|S|3|-4|5|6|7|1K|8|@]|9|@]|A|$]]|$1|T|3|U|5|6|7|1L|8|@$E|1M|F|1N|G|H]]|9|@]|A|$]]|$1|V|3|-4|5|6|7|1O|8|@]|9|@]|A|$]]|$1|W|3|X|5|M|7|1P|8|@$E|1Q|F|1R|G|H]]|9|@]|A|$]]|$1|Y|3|Z|5|M|7|1S|8|@$E|1T|F|1U|G|H]]|9|@]|A|$]]|$1|10|3|-4|5|6|7|1V|8|@]|9|@]|A|$]]|$1|11|3|-4|5|6|7|1W|8|@]|9|@]|A|$]]]|12|$]]

The following worked for me.
Deleted the folders for numpy and pandas together with their contents completely from the site-packages folder. Check depending on whether you are using python2 or python3. Check the exact path as per your machine. 

<hr>

N.B handle with care "rm -rf" command. If you are not sure of what you are doing, please do it manually using any file explorer of your choice!!

<ol>
<li>rm -rf ~/anaconda2/envs/myenv/lib/pythonX/site-packages/pandas*</li>
<li>rm -rf ~/anaconda2/envs/myenv/lib/pythonX/site-packages/numpy*</li>
</ol>

Then i installed clean packages for pandas and numpy as usual with

<ul>
<li>pip install numpy</li>
<li>pip install pandas</li>
</ul>

blocks|key|5340967|text|您正在运行python+3.7|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5340968|为python+3.6创建环境|5340969|5340970|+python3.6+3.6+filename.py|blockquote|5340971|5340972|entityMap^0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|L|8|@]|9|@]|A|$]]|$1|D|3|-4|5|6|7|M|8|@]|9|@]|A|$]]|$1|E|3|F|5|G|7|N|8|@]|9|@]|A|$]]|$1|H|3|-4|5|6|7|O|8|@]|9|@]|A|$]]|$1|I|3|-4|5|6|7|P|8|@]|9|@]|A|$]]]|J|$]]

you are running python 3.7

create environment for python 3.6

<blockquote>
 <blockquote>
 python3.6 filename.py
 </blockquote>
</blockquote>

blocks|key|5340991|text|在使用Microsoft+Visual+Code和Python+3.7.3+64位(‘base’：conda)作为我的python解释器时，我也遇到了同样的问题。在运行任何代码之前，键入以下三个命令：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5340992|C:/ProgramData/Anaconda3/Scripts/activate+#activate+conda+Scripts+directory
conda+activate+base+++++++++++++++++++++++#activate+conda
&+C:/ProgramData/Anaconda3/python.exe+++++#to+run+python|code-block|syntax|javascript|5340993|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 had the same issue while using Microsoft Visual Code with Python 3.7.3 64-bit('base':conda)as my python interpreter. Before running any code type the following three commands:

<pre><code>C:/ProgramData/Anaconda3/Scripts/activate #activate conda Scripts directory
conda activate base #activate conda
&amp; C:/ProgramData/Anaconda3/python.exe #to run python
</code></pre>

blocks|key|1813129|text|我最近也遇到了同样的错误。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1813130|在应用卸载或安装工具之前，请尝试更新您的Jupyter。|1813131|多么?转到“环境”，并在搜索包框中键入“pandas”。|1813132|然后，检查版本(如果该列显示一个带对角线箭头的蓝色数字，则表示您的熊猫已过期)。|1813133|点击'pandas‘，会弹出一个选项(选择'Apply’，等待几分钟来更新包)。|1813134|然后，在任何笔记本上进行快速测试，以确保您的Jupyter运行顺畅。|1813135|entityMap^0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|O|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|P|8|@]|9|@]|A|$]]|$1|F|3|G|5|6|7|Q|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|R|8|@]|9|@]|A|$]]|$1|J|3|K|5|6|7|S|8|@]|9|@]|A|$]]|$1|L|3|-4|5|6|7|T|8|@]|9|@]|A|$]]]|M|$]]

I've got the same error recently. Before applying uninstall or install tools, try to update your Jupyter. 

How? Go to 'Environments' and type on the Search Packages box 'pandas'. Afterwards, check the version (if that column shows a blue number with a diagonal arrow, it means that your pandas is out of date). Click on 'pandas' and a option will pop up (choose 'Apply' and wait for a couple of minutes to update the package). And then, make a quick test on any notebook to make sure that your Jupyter is running smoothly.

blocks|key|3923281|text|我也有同样的问题。我有两个版本的numpy+1.16.6和1.15.4，新安装的pandas不能正常工作。我通过卸载所有版本的numpy和pandas并安装最新版本修复了这个问题。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|3923282|$+pip+uninstall++numpy+pandas+-y
Uninstalling+numpy-1.16.6:
++Successfully+uninstalled+numpy-1.16.6
Uninstalling+pandas-0.24.2:
++Successfully+uninstalled+pandas-0.24.2
$+pip+uninstall++numpy+pandas+-y
Uninstalling+numpy-1.15.4:
++Successfully+uninstalled+numpy-1.15.4
Cannot+uninstall+requirement+pandas,+not+installed
$+pip+uninstall++numpy+pandas+-y
Cannot+uninstall+requirement+numpy,+not+installed
$+pip+install++numpy+pandas|code-block|syntax|javascript|3923283|entityMap^0|G|5|M|6|T|6|14|6|1R|5|1X|6|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]|$9|P|A|Q|B|C]|$9|R|A|S|B|C]|$9|T|A|U|B|C]|$9|V|A|W|B|C]|$9|X|A|Y|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|Z|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|10|8|@]|D|@]|E|$]]]|L|$]]

I have same problem.
I have got two version of <code>numpy</code> <code>1.16.6</code> and <code>1.15.4</code>, fresh installed <code>pandas</code> did not work correctly.
I fixed it by uninstalling all versions of <code>numpy</code> and <code>pandas</code> and install the last versions.

<pre><code>$ pip uninstall numpy pandas -y
Uninstalling numpy-1.16.6:
 Successfully uninstalled numpy-1.16.6
Uninstalling pandas-0.24.2:
 Successfully uninstalled pandas-0.24.2
$ pip uninstall numpy pandas -y
Uninstalling numpy-1.15.4:
 Successfully uninstalled numpy-1.15.4
Cannot uninstall requirement pandas, not installed
$ pip uninstall numpy pandas -y
Cannot uninstall requirement numpy, not installed
$ pip install numpy pandas
</code></pre>

blocks|key|3923307|text|对于那些不能用上述答案解决问题的人：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3923308|确保您在运行python3时使用|3923309|$+python+version|code-block|syntax|javascript|3923310|如果没有，请安装python3。|3923311|然后使用以下命令将默认python更改为python3|3923312|$+alias+python=python3+|3923313|接下来，关闭jupyter实验室/笔记本环境，并使用默认python为python3重新启动它。|3923314|entityMap^0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|S|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|T|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|U|8|@]|9|@]|A|$G|H]]|$1|I|3|J|5|6|7|V|8|@]|9|@]|A|$]]|$1|K|3|L|5|6|7|W|8|@]|9|@]|A|$]]|$1|M|3|N|5|F|7|X|8|@]|9|@]|A|$G|H]]|$1|O|3|P|5|6|7|Y|8|@]|9|@]|A|$]]|$1|Q|3|-4|5|6|7|Z|8|@]|9|@]|A|$]]]|R|$]]

For those who couldn't solve with the above answers:
Ensure that you are running python3 with
<pre><code>$ python version
</code></pre>
If not, install python3.
Then change default python to python3 with
<pre><code>$ alias python=python3 
</code></pre>
Next, close your jupyter lab/notebook environment and re-launch it with default python being python3.

Since yesterday I've had this error when I try to import packages on anaconda :

<code>ImportError: Missing required dependencies ['numpy']</code>

I have tried un-installing Anaconda and Python, switching to Python 2.7 but nothing works it's still the same error, here is the code I get :

<a href="https://i.stack.imgur.com/lnUjz.jpg" rel="noreferrer"><img src="https://i.stack.imgur.com/lnUjz.jpg" alt="enter image description here"></a>

Any help is really appreciated thanks !

Python Pandas - Missing required dependencies ['numpy'] 1

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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从昨天开始，当我尝试在anaconda上导入包时，我就遇到了这个错误：ImportError: Missing required dependencies ['numpy']我试着卸载Anaconda和Python，切换到Python 2.7，但都不起作用，仍然是同样的错误，下面是我得到的代码：​​任何帮助都会非常感谢...

问Python Pandas -缺少必需的依赖项['numpy'] 1
EN

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问Python Pandas -缺少必需的依赖项['numpy'] 1EN