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fixed wordwraps

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Davis Thames
2018-06-11 12:04:19 -05:00
parent 5de3306eea
commit faa93e4146
1 changed files with 7 additions and 3 deletions
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README.rst
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@@ -106,14 +106,18 @@ To receive results in ``pandas`` format, use the ``get_dataframe()`` method:
#Get a pd.DataFrame of the price history of a single symbol (default is daily):
ticker_history = client.get_dataframe("GOOGL")
#The method returns all of the available information on a symbol, such as open, high, low, close, adjusted close, etc. This page in the tiingo api documentation lists the available information on each symbol: https://api.tiingo.com/docs/tiingo/daily#priceData.
#The method returns all of the available information on a symbol, such as open, high, low, close,
#adjusted close, etc. This page in the tiingo api documentation lists the available information on each
#symbol: https://api.tiingo.com/docs/tiingo/daily#priceData.
#Frequencies and start and end dates can be specified similarly to the json method above.
#Get a pd.Series of only one column of the available response data by specifying one of the valid the 'metric_name' parameters:
#Get a pd.Series of only one column of the available response data by specifying one of the valid the
#'metric_name' parameters:
ticker_history = client.get_dataframe("GOOGL", metric_name='adjClose')
#Get a pd.DataFrame for a list of symbols for a specified metric_name (default is adjClose if no metric_name is specified):
#Get a pd.DataFrame for a list of symbols for a specified metric_name (default is adjClose if no
#metric_name is specified):
ticker_history = client.get_dataframe(['GOOGL', 'AAPL'],
frequency='weekly',
metric_name='volume',