Mastering pandas - Second Edition

R DataFrames

We can construct an R DataFrame as follows by calling the data.frame() constructor and then displaying it as follows:

>stocks_table<- data.frame(Symbol=c('GOOG','AMZN','FB','AAPL', 
                                      'TWTR','NFLX','LINKD'),  
                            Price=c(518.7,307.82,74.9,109.7,37.1, 
                                           334.48,219.9), 
MarketCap=c(352.8,142.29,216.98,643.55,23.54,20.15,27.31)) 
 
>stocks_table 
Symbol  PriceMarketCap 
1   GOOG 518.70    352.80 
2   AMZN 307.82    142.29 
3     FB  74.90    216.98 
4   AAPL 109.70    643.55 
5   TWTR  37.10     23.54 
6   NFLX 334.48     20.15 
7  LINKD 219.90     27.31 

In the following code block, we construct a pandas DataFrame and then display it:

In [29]: stocks_df=pd.DataFrame({'Symbol':['GOOG','AMZN','FB','AAPL', 'TWTR','NFLX','LNKD'], 'Price':[518.7,307.82,74.9,109.7,37.1, 334.48,219.9], 'MarketCap($B)' ...