如何使用雅虎！来自 Julia 的金融市场数据下载器 (yfinance) Python 包？

如何解决如何使用雅虎！来自 Julia 的金融市场数据下载器 (yfinance) Python 包？

我正在尝试将股票数据从 yahoo finance 下载到我的 Julia 代码中，并将其用于进一步分析。由于Julia股票相关包在下载数据时有很多bug，我想使用PyCall来利用python库yfinance来获取数据。

获取数据的python示例如下所示：

import yfinance as yf
msft = yf.Ticker("MSFT")
# get stock info
msft.info

# get historical market data
hist = msft.history(period="max")

# show actions (dividends,splits)
msft.actions
print(msft.actions)

# show dividends
msft.dividends
print(msft.dividends)

# show splits
msft.splits
print(msft.splits)

# show financials
msft.financials
msft.quarterly_financials

# show major holders
msft.major_holders

# show institutional holders
msft.institutional_holders

# show balance sheet
msft.balance_sheet
msft.quarterly_balance_sheet

# show cashflow
msft.cashflow
msft.quarterly_cashflow

# show earnings
msft.earnings
msft.quarterly_earnings

# show sustainability
msft.sustainability

# show analysts recommendations
msft.recommendations

# show next event (earnings,etc)
msft.calendar

# show ISIN code - *experimental*
# ISIN = International Securities Identification Number
msft.isin

# show options expirations
msft.options

# get option chain for specific expiration
opt = msft.option_chain('2021-01-29')
# data available via: opt.calls,opt.puts

我对 julia 代码的看法：

module MyModule
using PyCall
function __init__()
    py"""
    import yfinance as yf
    def data()
        data = yf.download("SPY AAPL",start="2017-01-01",end="2017-04-30")
    """
end
tickers_data = py"data"

end

抱歉举个例子，但我不确定如何在这种情况下使用 PyCall。 请提出解决此问题的方法。

提前致谢。

更新：

我使用以下命令在 anaconda yfinance 中安装了 (conda version 4.9.2)：

conda install -c ranaroussi yfinance

这将在 conda 的 yfinance 中安装 base root 库。

按照@PrzemyslawSzufel 的建议，我更新了我的 PyCall 代码：

using PyCall

yf = pyimport("yfinance")

# Tickers
msft = yf.Ticker("MSFT")

# get stock information
msft.info

# get historical market data
hist = msft.history(period="max")

# show actions (dividends,splits)
msft.actions
println(msft.actions)

但是，在运行此代码段时会抛出一个 PyError：

PyError (PyImport_ImportModule

The Python package yfinance could not be imported by pyimport. Usually this means
that you did not install yfinance in the Python version being used by PyCall.

PyCall is currently configured to use the Julia-specific Python distribution
installed by the Conda.jl package.  To install the yfinance module,you can
use `pyimport_conda("yfinance",PKG)`,where PKG is the Anaconda
package the contains the module yfinance,or alternatively you can use the
Conda package directly (via `using Conda` followed by `Conda.add` etcetera).

Alternatively,if you want to use a different Python distribution on your
system,such as a system-wide Python (as opposed to the Julia-specific Python),you can re-configure PyCall with that Python.   As explained in the PyCall
documentation,set ENV["PYTHON"] to the path/name of the python executable
you want to use,run Pkg.build("PyCall"),and re-launch Julia.

我尝试通过使用 conda 在 julia 中专门导入包来解决此问题：

using Conda

Conda.add("ranaroussi yfinance")
yf = pyimport_conda("yfinance",PKG)

即使这样也不能解决问题。 请提出针对此错误的解决方案。 谢谢。

解决方法

假设您成功安装了 yfinance，您需要做的就是：

using PyCall
run(`$(PyCall.python) -m pip install yfinance`)
yf = pyimport("yfinance")
msft = yf.Ticker("MSFT")

请注意，截至今天，通过 yfinance 安装 Conda.jl 两个 Anaconda 似乎都不起作用，因此需要使用 pip。

现在您可以将其余代码复制到您的 Julia 函数中。将 print 替换为 println，一切都会正常运行。

举个例子：

julia> # get stock info
       msft.info
Dict{Any,Any} with 123 entries:
  "tradeable"                    => false
  "market"                       => "us_market"
  "dayLow"                       => 224.22
  "sharesShort"                  => 39201229
  "priceToBook"                  => 14.0704
  "sharesOutstanding"            => 7560500224
  "nextFiscalYearEnd"            => 1656547200
  "threeYearAverageReturn"       => nothing
  "legalType"                    => nothing
  "address1"                     => "One Microsoft Way"
  "regularMarketPreviousClose"   => 225.95
  "priceHint"                    => 2
  "askSize"                      => 1400
  "fundFamily"                   => nothing
  "regularMarketVolume"          => 31716461
  "trailingEps"                  => 6.199
  "ask"                          => 229.88
  "lastSplitDate"                => 1045526400
  ⋮                              => ⋮