Question

我想使用Python 3.x从Yahoo Finance收集股票数据。

当前，我使用以下数据字符串：

remove_rows(xdf, cat, ~B:C+F+G:I)
## # A tibble: 20 x 4
##    cat    val1  val2  val3
##    <chr> <int> <int> <int>
##  1 A        87    98     5
##  2 D        65    46    87
##  3 E         4    69     6
##  4 J        10    94    11
##  5 K        37    86    52
##  6 L        89    64    44
##  7 M        61    10    28
##  8 N        79    52    89
##  9 O        71    33    77
## 10 P        45    33    77
## 11 Q        56    97    29
## 12 R        10    28    39
## 13 S        25     7    71
## 14 T        86    57    51
## 15 U        92     2    15
## 16 V        25    36    12
## 17 W        90    78    10
## 18 X        20    82    90
## 19 Y        39    84    13
## 20 Z        43    93    18

这段代码给了我以下回报：

import requests
url = "https://query1.finance.yahoo.com/v7/finance/download/AAC?period1=1514761200&period2=1517439600&interval=1d&events=history&crumb=Nr.jC4aJCc7"
s = "AAC,"
response = requests.post(url)
print ((s),(response.text))

我希望收到以下退货：

AAC, Date,Open,High,Low,Close,Adj Close,Volume
2018-01-16,9.370000,9.410000,9.000000,9.060000,9.060000,69400
2018-01-17,9.120000,9.170000,9.000000,9.030000,9.030000,104500
2018-01-18,9.050000,9.135000,8.980000,8.990000,8.990000,166600
2018-01-19,9.000000,9.270000,9.000000,9.200000,9.200000,110600
2018-01-22,9.200000,9.200000,8.940000,9.080000,9.080000,139200
2018-01-23,9.050000,9.110000,9.000000,9.020000,9.020000,54700
2018-01-24,9.070000,9.070000,8.910000,8.950000,8.950000,117500
2018-01-25,9.000000,9.060000,8.900000,9.050000,9.050000,204300
2018-01-26,9.110000,9.240000,9.090000,9.170000,9.170000,62000
2018-01-29,9.170000,9.780000,9.170000,9.500000,9.500000,173300
2018-01-30,9.400000,9.480000,9.000000,9.080000,9.080000,82800
2018-01-31,9.080000,9.250000,8.820000,8.950000,8.950000,122000

有没有人可以帮助我解决这个问题？

Answer 1

您可以使用python方法根据需要设置输入文本的格式。我正在使用split（）在换行符处分割文本，在生成器解析器内部添加了一个三进制，以'Ticker,'或'AAC,'部分开头，并join()将其粘在一起（链接到doku见下文）：

import requests
url = "https://query1.finance.yahoo.com/v7/finance/download/AAC?period1=1514761200&period2=1517439600&interval=1d&events=history&crumb=Nr.jC4aJCc7"
s = "AAC,"
response = requests.post(url)

text_lines = '\n'.join(('Ticker,' if x.startswith("Date") else s) + x.strip() 
                       for x in response.text.split("\n") if x)
print(text_lines)

输出：

Ticker,Date,Open,High,Low,Close,Adj Close,Volume
AAC,2018-01-16,9.370000,9.410000,9.000000,9.060000,9.060000,69400
AAC,2018-01-17,9.120000,9.170000,9.000000,9.030000,9.030000,104500
AAC,2018-01-18,9.050000,9.135000,8.980000,8.990000,8.990000,166600
AAC,2018-01-19,9.000000,9.270000,9.000000,9.200000,9.200000,110600
AAC,2018-01-22,9.200000,9.200000,8.940000,9.080000,9.080000,139200
AAC,2018-01-23,9.050000,9.110000,9.000000,9.020000,9.020000,54700
AAC,2018-01-24,9.070000,9.070000,8.910000,8.950000,8.950000,117500
AAC,2018-01-25,9.000000,9.060000,8.900000,9.050000,9.050000,204300
AAC,2018-01-26,9.110000,9.240000,9.090000,9.170000,9.170000,62000
AAC,2018-01-29,9.170000,9.780000,9.170000,9.500000,9.500000,173300
AAC,2018-01-30,9.400000,9.480000,9.000000,9.080000,9.080000,82800
AAC,2018-01-31,9.080000,9.250000,8.820000,8.950000,8.950000,122000

Doku：

Answer 2

您可以使用string.replace（）方法。在这里就像这样： textToPrint = response.text.replace("\n", "\n".join(s))
然后打印（textToPrint）

Answer 3

我不会使用Yahoo Finance。它曾经是丰富而丰富的数据资源，但是几乎在2年前就关闭了大多数功能。有几种可行的替代方案。这是一个。

import pandas_datareader.data as web
from datetime import datetime
f = web.DataReader('AAC', 'robinhood')
f.head()

每行前面的循环文本

3 个答案: