how to use tushare

////// run demo

[[email protected] tushare.hist]# python get.stock.hist.day.py

Traceback (most recent call last):

File "get.stock.hist.day.py", line 6, in <module>

import tushare as ts

ImportError: No module named tushare

////// # pip install tushare

[[email protected] tushare.hist]# pip install tushare

Collecting tushare

Downloading tushare-0.4.3-py2-none-any.whl (87kB)

100% |████████████████████████████████| 90kB 467kB/s

Installing collected packages: tushare

Successfully installed tushare-0.4.3

[[email protected] tushare.hist]# python get.stock.hist.day.py

Traceback (most recent call last):

File "get.stock.hist.day.py", line 6, in <module>

import tushare as ts

File "/usr/local/lib/python2.7/site-packages/tushare/__init__.py", line 7, in <module>

from tushare.stock.trading import (get_hist_data, get_tick_data,

File "/usr/local/lib/python2.7/site-packages/tushare/stock/trading.py", line 13, in <module>

import lxml.html

ImportError: No module named lxml.html

[[email protected] tushare.hist]#

////// # pip install lxml

Exception:

Traceback (most recent call last):

File "/usr/local/lib/python2.7/site-packages/pip/basecommand.py", line 211, in main

status = self.run(options, args)

File "/usr/local/lib/python2.7/site-packages/pip/commands/install.py", line 282, in run

wheel_cache

File "/usr/local/lib/python2.7/site-packages/pip/basecommand.py", line 272, in populate_requirement_set

wheel_cache=wheel_cache

File "/usr/local/lib/python2.7/site-packages/pip/req/req_install.py", line 213, in from_line

wheel_cache=wheel_cache, constraint=constraint)

File "/usr/local/lib/python2.7/site-packages/pip/req/req_install.py", line 67, in __init__

req = pkg_resources.Requirement.parse(req)

File "/usr/local/lib/python2.7/site-packages/pip/_vendor/pkg_resources/__init__.py", line 2980, in parse

reqs = list(parse_requirements(s))

File "/usr/local/lib/python2.7/site-packages/pip/_vendor/pkg_resources/__init__.py", line 2911, in parse_requirements

raise RequirementParseError("Missing distribution spec", line)

RequirementParseError: Missing distribution spec [[email protected]

////// # pip install lxml

ERROR: /bin/sh: xslt-config: 未找到命令

** make sure the development packages of libxml2 and libxslt are installed **

////// install some packages

# yum install libxml2

# yum install libxslt

# yum install libxml2-devel

# yum install libxslt-devel

////// # pip install lxml

[[email protected] tushare.hist]# pip install lxml

Collecting lxml

Using cached lxml-3.5.0.tar.gz

Building wheels for collected packages: lxml

Running setup.py bdist_wheel for lxml

Successfully built lxml

Installing collected packages: lxml

Successfully installed lxml-3.5.0

////// run demo

[[email protected] tushare.hist]# python get.stock.hist.day.py

Traceback (most recent call last):

File "get.stock.hist.day.py", line 6, in <module>

import tushare as ts

File "/usr/local/lib/python2.7/site-packages/tushare/__init__.py", line 7, in <module>

from tushare.stock.trading import (get_hist_data, get_tick_data,

File "/usr/local/lib/python2.7/site-packages/tushare/stock/trading.py", line 15, in <module>

import pandas as pd

ImportError: No module named pandas

////// # pip install pandas

Successfully built pandas numpy

Installing collected packages: six, python-dateutil, pytz, numpy, pandas

Successfully installed numpy-1.10.2 pandas-0.17.1 python-dateutil-2.4.2 pytz-2015.7 six-1.10.0

时间: 2024-08-25 20:24:15

how to use tushare的相关文章

pip install tushare

1.sudo apt-get install libxml2-dev libxslt1-dev python-dev apt-get install libevent-dev pip install lxmlpip install pandas apt-get install libpng-devapt-get install libfreetype6-dev pip install matplotlibpip install astropy pip install tushare

配置python环境使用tushare股票数据

最近在做一个项目,主要是基于股票市场来验证一些model,看看能否做量化交易.那么如何获取数据呢?因为客户这边前期是不想花钱买数据的,只能自己想办法了,从sina和yahoo财经频道爬到一些数据,但是有些数据比较难找,看到了知乎上面的一个帖子,于是就尝试一下. tushare的介绍. 使用前提,安装anaconda. 按照好了之后,如何开发呢?选择什么样的IDE呢?如何基于anaconda搭建IDE环境. 安装tushare:windows下打开cmd.exe,OS X下打开terminal,p

python tushare安装

1.安装tushare前先安装lxml和pandas(我是win32下python3.4.0) 2.安装lxml,下载地址https://pypi.python.org/pypi/lxml/3.4.2 3.pandas,下载地址https://pypi.python.org/pypi/pandas 4.安装pandas时提示需要安装requests,先安装requests,easy_install requests 5.下载的pandas包是.whl包,要先安装wheel,pip install

Python 下载 tushare 数据,然后调用 C++ DLL 计算 wMA 存入本地 csv 文件

CMakeLists.txt project(wMA) add_library(wMA SHARED wMA.cpp) wMA.h #pragma once #ifndef WMA_WMA_H #define WMA_WMA_H #endif #ifdef BUILD_WMA_DLL #define IO_WMA_DLL __declspec(export) #else #define IO_WMA_DLL __declspec(import) #endif extern "C" {

tushare使用

tushare是获取行情数据的一款免费软件 使用方法很简单, 先安装:pip install tushare 然后 import tushare as ts 即可.   data = ts.get_k_data("600000", ktype='60')

TensorFlow(2):给TensorFlow Image 打补丁增加 TuShare 支持

1,关于TuShare TuShare 是一个python的lib 库非常好用. 并且是适合国内的股票市场的,可以直接下载国内的股票数据. 非常的方便. 同事 TensorFlow 已经支持了 Numpy.直接在这个上面增加TuShare类库就好了. 而且docker 的有点就出来了.一层一层的叠加了. 2,增加镜像 和上次一样重新增加一个启动脚本: http://blog.csdn.net/freewebsys/article/details/70237003 vi run_jupyter.s

利用pycharm 安装tushare

在pycharm里,有安装组件的方法,进入 File - Setting - Project:StockMarket - Project InterPreter,在右边点击"+",进入搜索页面,搜索到就可以点击左下的Install Package进行安装. 在安装tushare的过程,提示了需要安装的几个包,如lxml,pandas,beautifulsoup4,requests. 安装完tushare后,进行测试: import tushare as ts # print ts.ge

Tushare的安装

TuShare是一个免费.开源的python财经数据接口包.主要实现对股票等金融数据从数据采集.清洗加工到数据存储的过程,能够为金融分析人员提供快速.整洁.和多样的便于分析的数据. 考虑到python pandas包在金融量化分析中体现出的优势,TuShare返回的绝大部分的数据格式都是pandas DataFrame类型,非常便于用pandas/NumPy/Matplotlib进行数据分析和可视化. 步骤阅读 百度经验:jingyan.baidu.com 工具/原料 Python 2.x /

Tushare——财经数据接口包

本来想用python自带的help命令和dir命令,来写一个关于Tushare库的使用手册呢,但是后来发现了Tushare的官方网站, ̄□ ̄||,网址如下: http://tushare.org/ 把官网都看了一边,发现里面主要是针对股票数据的讲解,对期货没有一个系统的讲解,所以还是自己写吧.略过一切基本的Tushare库的介绍. 一.Tusharei.futures库下的文件目录 下面我们挨个看看里面都包含了什么方法 二.__init__.py 很遗憾,这个文件下是空的...... 三.con