英文字典中文字典


英文字典中文字典51ZiDian.com



中文字典辞典   英文字典 a   b   c   d   e   f   g   h   i   j   k   l   m   n   o   p   q   r   s   t   u   v   w   x   y   z       







请输入英文单字，中文词皆可：


请选择你想看的字典辞典：
单词字典翻译
85273查看　85273　在百度字典中的解释百度英翻中〔查看〕
85273查看　85273　在Google字典中的解释Google英翻中〔查看〕
85273查看　85273　在Yahoo字典中的解释Yahoo英翻中〔查看〕

安装中文字典英文字典查询工具!


中文字典英文字典工具:
选择颜色:
输入中英文单字

































































英文字典中文字典相关资料:


  • TA-Lib - GitHub Pages
    Pattern Recognition Functions CDL2CROWS - Two Crows integer = CDL2CROWS (open, high, low, close) CDL3BLACKCROWS - Three Black Crows CDLHIKKAKEMOD - Modified Hikkake Pattern integer = CDLHIKKAKEMOD (open, high, low, close) CDLHOMINGPIGEON - Homing Pigeon integer = CDLHOMINGPIGEON (open, high, low, close)
  • ta-lib 0. 6. 4 - PyPI
    Candlestick pattern recognition; Open-source API for C C++, Java, Perl, Python and 100% Managed NET; The original Python bindings included with TA-Lib use SWIG which unfortunately are difficult to install and aren't as efficient as they could be
  • How to run TA-Lib on multiple tickers in a single dataframe
    I would like to use ta-lib to calculate several technical indicators like EMA of length 8 and 21, and RSI of 3 and 14 I have been doing this with the following code after uploading the file and creating a dataframe named idf: Is this the most efficient way to doing this?
  • ta-lib-python docs func_groups pattern_recognition. md at master - GitHub
    Python wrapper for TA-Lib (http: ta-lib org ) Contribute to TA-Lib ta-lib-python development by creating an account on GitHub
  • TA-Lib - Technical Analysis Library
    Candlestick patterns recognition Core written in C C++ with API also available for Python Open-Source (BSD License) Can be freely integrated in your own open-source or commercial applications TA-Lib was release in 2001 for well-known algorithms that are still widely used >20 years later The code is stable and have passed the test of time
  • MultiIndex advanced indexing — pandas 2. 3. 0 documentation
    A MultiIndex can be created from a list of arrays (using MultiIndex from_arrays()), an array of tuples (using MultiIndex from_tuples()), a crossed set of iterables (using MultiIndex from_product()), or a DataFrame (using MultiIndex from_frame()) The Index constructor will attempt to return a MultiIndex when it is passed a list of tuples The
  • Backtesting Candlestick Patterns in Python - Greyhound Analytics
    Thanks to libraries like TA-lib, we can automatically detect all of the most common patterns and hence automate our backtesting so we can test out more strategies without the legwork of manually labelling the candles





中文字典-英文字典  2005-2009