Could not find a version that satisfies the requirement numpy>=1.7.0 (from pan das==0.17.0) (from versions: ) No matching distribution found for numpy>=1.7.0 (from pandas==0.17.0)

今天晚上一直在安装pandas,天杀的,真的是太难了。后来发现提示:

Could not find a version that satisfies the requirement numpy>=1.7.0 (from pan
das==0.17.0) (from versions: )
No matching distribution found for numpy>=1.7.0 (from pandas==0.17.0)

更新numpy的版本步骤如下:

1.查看当前numpy安装包版本:pip  show   numpy

2.百度需要的numpy版本:  https://pypi.org/project/numpy/1.11.2/#files

3.下载需要的版本:numpy-1.11.2-cp27-none-win32.whl

4.安装需要的版本:pip install  C:\Python27\Scripts\numpy-1.11.2-cp27-none-win32.whl

5.出现成功安装提示

原文地址:https://www.cnblogs.com/sggggr/p/11874857.html

时间: 2024-11-08 10:59:00

Could not find a version that satisfies the requirement numpy>=1.7.0 (from pan das==0.17.0) (from versions: ) No matching distribution found for numpy>=1.7.0 (from pandas==0.17.0)的相关文章

[报错处理]Could not find a version that satisfies the requirement xml (from versions)

安装xml库发生报错 pip3 install xml Collecting xml Could not find a version that satisfies the requirement xml (from versions: ) No matching distribution found for xml 尝试安装lxml进行代替 [email protected]:/home/ubuntu/publisher_info# pip3 install lxml Collecting l

Windows下Pycharm安装Tensorflow:ERROR: Could not find a version that satisfies the requirement tensorflow

今天在Windows下通过Pycharm安装Tensorflow时遇到两个问题: 使用pip安装其实原理都相同,只不过Pycharm是图形化的过程! 1.由于使用国外源总是导致Timeout 解决方法是在Pycharm中添加清华源 https://mirrors.aliyun.com/pypi/simple/(或者其他的国内源) 2.替换成清华源后安装报错: ERROR: Could not find a version that satisfies the requirement tensor

pip3版本已经是最新,安装openxl失败,Could not find a version that satisfies the requirement openxl

pip3版本已经是最新,安装openxl失败,提示 Could not find a version that satisfies the requirement openxl,No matching distribution found for openxl 用以下问答中的第3个答案解决,其他两种应该也没问题. https://ask.csdn.net/questions/1053770 原文地址:https://www.cnblogs.com/tiaotiaoxia/p/12315082.h

mac上安装pil报错: ERROR: Could not find a version that satisfies the requirement pil (from versions: none):

mac上安装pil报错: ERROR: Could not find a version that satisfies the requirement pil (from versions: none): 原文地址:https://www.cnblogs.com/Zhao159461/p/12629635.html

转:Python出现Could not find a version that satisfies the requirement openpyxl (from versions: )

https://blog.csdn.net/weixin_42840933/article/details/85308265 一.环境使用python3.7时,用pip安装openpyxl出现如下错误: 系统环境:windows10家庭版Python版本:python3.7.1IDE:sublime_text 3二. 解决方案按照提示所示是其中一个原因是pip版本过低,需要更新pip:python -m pip install --upgrade pip由于python国内网络不稳定,一直报错,

python导入第三方库schedule报错ERROR: Could not find a version that satisfies the requirement schedule (from

RROR: No matching distribution found for tensorflow的情况这可能是因为网络的问题,这时我们使用国内的镜像源来加速输入命令:python -m pip install schedule(如果你安装的是别的库,请输入别的库名) 原文链接:https://blog.csdn.net/shaui541607120115/article/details/89640808 原文地址:https://www.cnblogs.com/zhanghuanfree/

anaconda安装tensorflow问题: Could not find a version that satisfies the requirement tensorboard

背景:想要为下载的anaconda安装tensorflow 使用命令 pip install -i https://pypi.tuna.tsinghua.edu.cn/simple tensorflow 报错如下: 解决办法:创建一个虚拟虚拟环境,在虚拟环境中安装tensorflow,然后使用pycharm创建项目,指定项目的运行环境为刚才创建的虚拟环境. 一:创建虚拟环境:conda create -n test python=3.5 -n后面是虚拟环境的名字   python=指定虚拟环境使

Fibonacci数列是这样定义的: F[0] = 0 F[1] = 1 for each i ≥ 2: F[i] = F[i-1] + F[i-2] 因此,Fibonacci数列就形如:0, 1, 1, 2, 3, 5, 8, 13, ...,在Fibonacci数列中的数我们称为Fibonacci数。给你一个N,你想让其变为一个Fibonacci数,每一步你可以把当前数字X变为X-1或者X+1

Fibonacci数列是这样定义的:F[0] = 0F[1] = 1for each i ≥ 2: F[i] = F[i-1] + F[i-2]因此,Fibonacci数列就形如:0, 1, 1, 2, 3, 5, 8, 13, ...,在Fibonacci数列中的数我们称为Fibonacci数.给你一个N,你想让其变为一个Fibonacci数,每一步你可以把当前数字X变为X-1或者X+1,现在给你一个数N求最少需要多少步可以变为Fibonacci数. 输入描述: 输入为一个正整数N(1 ≤ N

【原创】No matching distribution found for Twisted>=10.0.0 (from scrapy)

系统  Ubuntu14.04 python  2.7.11 运行  pip install scrapy  报错: No matching distribution found for Twisted>=10.0.0 (from scrapy) 需要手动安装Twisted, 从官网 https://twistedmatrix.com/trac/ 下载 Twisted-16.1.0.tar.bz2, 依次运行: tar -xjvf Twisted-16.1.0.tar.bz2cd Twisted