From faa93e4146d4d213cca924f3761b6f2d6e25e3f2 Mon Sep 17 00:00:00 2001 From: Davis Thames Date: Mon, 11 Jun 2018 12:04:19 -0500 Subject: [PATCH] fixed wordwraps --- README.rst | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/README.rst b/README.rst index b568cd4..68e9d1d 100644 --- a/README.rst +++ b/README.rst @@ -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',