Question

我尝试使用matplotlib.finance从yahoo finance下载一些数据。

#include <iostream>
#include <vector>
#include <fstream>
#include <sstream>
#include <iterator>

using namespace std;

struct Record {
    string bar_code;
    double unit_price;
    int inventory_quantity;
    string item_description;

    friend ostream& operator<<(ostream&, Record const&);
};

vector<Record> ReadDataFile();

int main() {
    auto data = ReadDataFile(); 

    copy(data.begin(), data.end(), ostream_iterator<Record>(std::cout, "\n"));
}

vector<Record> ReadDataFile() {
    vector<Record> data;

    ifstream inputfile("C:\\Temp\\data.txt");

    size_t linenumber = 0;
    string line;
    while (getline(inputfile, line)) {
        linenumber += 1;

        Record r;
        istringstream iss(line);

        if (iss >> r.bar_code >> r.item_description >> r.inventory_quantity >> r.unit_price)
            data.push_back(r);
        else
            throw runtime_error("Parse error in line #" + to_string(linenumber) + " '" + line + "'");
    }

    return data;
}

ostream& operator<<(ostream& os, Record const& r) {
    return os << r.bar_code << " " << r.item_description << " " << r.inventory_quantity << " " << r.unit_price;
}

结果类似于

from matplotlib.finance import quotes_historical_yahoo
from datetime import date
import pandas as pd
import numpy as np
%matplotlib inline
today=date.today()
start=(today.year-1,today.month,today.day)
quotes=quotes_historical_yahoo('AXP',start,today)
df=pd.DataFrame(quotes,columns=['Date','Open','High','Low','Close','Vol'])
df

我知道第一列应该是日期，但我不知道如何从中获取日期时间。如何处理此列以使其像Date Open High Low Close Vol 0 735536 87.376999 87.524947 88.264678 86.992340 5069300 1 735537 88.708520 88.718378 89.359479 88.146325 6848600 2 735540 89.083316 89.606057 89.961129 88.984686 3707900？

Answer 1

我自己解决，关键是using (var transaction = client.BeginTransaction()) { manifest.Users = client.Cypher .Merge("(n:User { Id: '8be0b8fd-c433-44d3-a7e2-3f0d1a03fefa'}) " + "ON CREATE " + "SET n = { " + "Id: '8be0b8fd-c433-44d3-a7e2-3f0d1a03fefa', " + "UserName: 'test.user', " + "Name: 'Test User', " + "Active: true " + "} " + "ON MATCH " + "SET n = { " + "Id: '8be0b8fd-c433-44d3-a7e2-3f0d1a03fefa', " + "UserName: 'test.user', " + "Name: 'Test User', " + "Active: true " + "}") .Return(n => n.As<User>()) .Results .ToList(); transaction.Commit(); } + date.fromordinal()

date.strftime(x,'%Y-%m-%d')

如何处理quotes_historical_yahoo日期时间？

1 个答案: