随笔分类 -  Python Cookbook

Record techniques in Python
Python Environment Setup in Linux
摘要：1. 下载anaconda Anaconda installer for linxu: https://www.anaconda.com/distribution/#linux wget https://repo.anaconda.com/archive/Anaconda3-2020.02-Linu 阅读全文
posted @ 2020-04-19 05:23 Sherrrry 阅读(281) 评论(0) 推荐(0)
[Python Cookbook] Iteration over a List in Python
摘要：For Loop ls = [1, 2, 3, 4] for i in ls: print (i) Enumerate Method ls = [1, 2, 3, 4] for i, j in enumerate(ls): print(i, j) Out: 0 1 1 2 2 3 3 4 List 阅读全文
posted @ 2020-03-03 02:02 Sherrrry 阅读(141) 评论(0) 推荐(0)
[Python Cookbook]Pandas: How to increase columns for DataFrame?Join/Concat
摘要：1. Combine Two Series series1=pd.Series([1,2,3],name='s1') series2=pd.Series([4,5,6],name='s2') df = pd.concat([series1, series2], axis=1) Out: series 阅读全文
posted @ 2020-02-28 04:51 Sherrrry 阅读(167) 评论(0) 推荐(0)
[Python Cookbook] Pandas Groupby
摘要：Groupby Count The command returns a series where the index is the name of a Party and the value is the count of that Party. Note that the series is or 阅读全文
posted @ 2019-02-11 01:30 Sherrrry 阅读(281) 评论(0) 推荐(0)
[Python Cookbook] Pandas: Indexing of DataFrame
摘要：Selecting a Row or Selecting a Column Or Selecting an Element Selecting Multiple Discontinuous Rows Or E.g. 阅读全文
posted @ 2019-02-11 00:47 Sherrrry 阅读(111) 评论(0) 推荐(0)
[Python Cookbook] Pandas: 3 Ways to define a DataFrame
摘要：Using Series (Row-Wise) Using Series (Column-Wise) Using Dictionary (Columnwise) Using Nested Dictionary The outer dictionary is columnwise and the in 阅读全文
posted @ 2019-01-30 02:30 Sherrrry 阅读(272) 评论(0) 推荐(0)
[Python Cookbook] Numpy: Multiple Ways to Create an Array
摘要：Convert from list Apply np.array() method to convert a list to a numpy array: Apply np.array() method to convert a list to a numpy array: Apply np.arr 阅读全文
posted @ 2019-01-05 11:26 Sherrrry 阅读(213) 评论(0) 推荐(0)
[Python Cookbook] Numpy Array Slicing and Indexing
摘要：1-D Array Indexing Use bracket notation [ ] to get the value at a specific index. Remember that indexing starts at 0. Output: array([ 0, 1, 2, 3, 4, 5 阅读全文
posted @ 2019-01-05 03:23 Sherrrry 阅读(301) 评论(0) 推荐(0)
[Python Cookbook] Numpy: Iterating Over Arrays
摘要：1. Using for-loop Iterate along row axis: Output: [1 2 3] [4 5 6] Iterate by index: Output: [1 2 3] [4 5 6] Iterate by row and index: Iterate by row a 阅读全文
posted @ 2019-01-02 04:49 Sherrrry 阅读(183) 评论(0) 推荐(0)
[Python Cookbook] Numpy Array Manipulation
摘要：1. Reshape: The np.reshape() method will give a new shape to an array without changing its data. Note that the new shape should be compatible with the 阅读全文
posted @ 2019-01-02 04:05 Sherrrry 阅读(178) 评论(0) 推荐(0)
[Python Cookbook] Numpy Array Joint Methods: Append, Extend & Concatenate
摘要：数组拼接方法一 思路：首先将数组转成列表，然后利用列表的拼接函数 、`extend()`等进行拼接处理，最后将列表转成数组。 示例1： [1, 2, 5, 10, 12, 15] array([ 1, 2, 5, 10, 12, 15]) 该方法只适用于简单的一维数组拼接，由于转换过程很耗时间，对于 阅读全文
posted @ 2019-01-01 11:17 Sherrrry 阅读(262) 评论(0) 推荐(0)
[Python Cookbook] Numpy: How to Apply a Function to 1D Slices along the Given Axis
摘要：Here is a function in Numpy module which could apply a function to 1D slices along the Given Axis. It works like apply funciton in Pandas. This functi 阅读全文
posted @ 2019-01-01 10:42 Sherrrry 阅读(201) 评论(0) 推荐(0)
[Python Cookbook] IPython: An Interactive Computing Environment
摘要：You can launch IPython on the command line just like launching the regular Python interpreter except with the ipython command: $ ipython Then you can 阅读全文
posted @ 2019-01-01 06:46 Sherrrry 阅读(155) 评论(0) 推荐(0)