在 Pandas 教程的远程数据访问代码中， "F" 是什么意思？
In the remote data access code for Pandas tutorial, what does "F" mean?
In [12]: import pandas_datareader.data as web
In [13]: import datetime
In [14]: start = datetime.datetime(2010, 1, 1)
In [15]: end = datetime.datetime(2013, 1, 27)
In [16]: f = web.DataReader("F", 'yahoo-dividends', start, end)
在为 pandas_datareader. However, the functions themselves are pretty well documented in the source code. Looking at the source for DataReader, the first parameter is name 生成的文档中遗憾地缺少 API 文档：
the name of the dataset. Some data sources (google, fred) will accept a list of names.
这不是提供信息，而是更深入地挖掘 类 DataReader 实际上 returns 的对象，例如 YahooDailyReader, and how they are constructed, the first parameter is the stock symbol or symbols:
Single stock symbol (ticker), array-like object of symbols or DataFrame with index containing stock symbols.
在这种情况下，'F' 是 Ford 的符号。使用 yahoo 数据源，您可以选择提供单个字符串或可迭代的字符串以一次获得多个输出。
In [12]: import pandas_datareader.data as web
In [13]: import datetime
In [14]: start = datetime.datetime(2010, 1, 1)
In [15]: end = datetime.datetime(2013, 1, 27)
In [16]: f = web.DataReader("F", 'yahoo-dividends', start, end)
在为 pandas_datareader. However, the functions themselves are pretty well documented in the source code. Looking at the source for DataReader, the first parameter is name 生成的文档中遗憾地缺少 API 文档：
the name of the dataset. Some data sources (google, fred) will accept a list of names.
这不是提供信息，而是更深入地挖掘 类 DataReader 实际上 returns 的对象，例如 YahooDailyReader, and how they are constructed, the first parameter is the stock symbol or symbols:
Single stock symbol (ticker), array-like object of symbols or DataFrame with index containing stock symbols.
在这种情况下，'F' 是 Ford 的符号。使用 yahoo 数据源，您可以选择提供单个字符串或可迭代的字符串以一次获得多个输出。