scalar

How to correlate scalar values of two pandas dataframes

由 断了今生、忘了曾经 提交于 2020-12-12 06:16:19
问题 How do I correlate two pandas dataframes, find a single r value for all values? I don't want to correlate columns or rows, but all scalar values. One dataframe is the x axis, and the other dataframe is the y axis. I downloaded identically structured csv files here: https://www.gapminder.org/data/ The tables have years for columns, countries for rows, with numerical values for the indicator that each table reports. For instance, I want to see how the Political Participation Indicator

Is b a scalar object in this case?

由 不打扰是莪最后的温柔 提交于 2020-06-27 18:24:08
问题 #include <stdio.h> int main(void) { char b[5]; scanf("%4s%4s", b, b); printf("%s", b); } What is the exact definition of a scalar object? Is b a scalar object in this case? 回答1: Quote from ISO/IEC 9899:2018 (C18), 6.2.5 (Types)/21: " Arithmetic types and pointer types are collectively called scalar types. Array and structure types are collectively called aggregate types.47) " 47) " Note that aggregate type does not include union type because an object with union type can only contain one

When to return a pointer, scalar and reference in C++?

由 ▼魔方 西西 提交于 2020-05-20 11:12:12
问题 I'm moving from Java to C++ and am a bit confused of the language's flexibility. One point is that there are three ways to store objects: A pointer, a reference and a scalar (storing the object itself if I understand it correctly). I tend to use references where possible, because that is as close to Java as possible. In some cases, e.g. getters for derived attributes, this is not possible: MyType &MyClass::getSomeAttribute() { MyType t; return t; } This does not compile, because t exists only

When to return a pointer, scalar and reference in C++?

由 我与影子孤独终老i 提交于 2020-05-20 11:12:09
问题 I'm moving from Java to C++ and am a bit confused of the language's flexibility. One point is that there are three ways to store objects: A pointer, a reference and a scalar (storing the object itself if I understand it correctly). I tend to use references where possible, because that is as close to Java as possible. In some cases, e.g. getters for derived attributes, this is not possible: MyType &MyClass::getSomeAttribute() { MyType t; return t; } This does not compile, because t exists only

用python做预算系统遇到的问题记录

由 北城余情 提交于 2020-04-14 19:48:08
【推荐阅读】微服务还能火多久？>>> 一，使用df.loc[]按照条件来查询 File "/Users/jiangmengliang/PycharmProjects/jiang.ml/budget/cost_budget/expense_down_api.py", line 2434, in main rev = ExpenseApiDown(cfg_path, log=logging) File "/Users/jiangmengliang/PycharmProjects/jiang.ml/budget/cost_budget/expense_down_api.py", line 793, in __init__ self.done = self.split() # 合并里需要做层级判断 ，生成层级.json File "/Users/jiangmengliang/PycharmProjects/jiang.ml/budget/cost_budget/expense_down_api.py", line 1288, in split done = self.boss_split() File "/Users/jiangmengliang/PycharmProjects/jiang.ml/budget/cost_budget/expense_down_api.py", line

矩池云 | 使用LightGBM来预测分子属性

由 末鹿安然 提交于 2020-03-27 09:36:18
3 月，跳不动了？>>> 今天给大家介绍提升方法(Boosting), 提升算法是一种可以用来减小监督式学习中偏差的机器学习算法。 面对的问题是迈可·肯斯（Michael Kearns）提出的：一组“弱学习者”的集合能否生成一个“强学习者”？ 弱学习者一般是指一个分类器，它的结果只比随机分类好一点点。强学习者指分类器的结果非常接近真值。 大多数提升算法包括由迭代使用弱学习分类器组成，并将其结果加入一个最终的成强学习分类器。加入的过程中，通常根据它们的分类准确率给予不同的权重。加和弱学习者之后，数据通常会被重新加权，来强化对之前分类错误数据点的分类。 提升算法有种三个臭皮匠顶个诸葛亮的意思。在这里将使用微软的LightGBM这个提升算法，来预测分子的一个属性，叫做耦合常数。 导入需要的库 import os import time import datetime import json import gc from numba import jit import pandas as pd import numpy as np import matplotlib.pyplot as plt %matplotlib inline from tqdm import tqdm_notebook from sklearn.preprocessing import StandardScaler

Hibernate Criteria contains-in on an association to a table

由 爷，独闯天下 提交于 2020-01-03 19:08:29
问题 I have a Hibernate mapping that looks something like this: <class name="MyEntity"> <set name="scalarSet" table="(select fk, scalar_value from other_table)"> <key column="fk"/> <property column="scalar_value" type="long"/> </set> </class Given this, how do I query such that a value of MyEntity.scalarSet (which is Set) is in a another collection. Something like: criteria.add(Restrictions.in("scalarSet", targetList)); [edit] I've also tried Restriction.sqlRestriction(..). The sql query that I
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