Feb-03-2021, 10:53 AM
Hello,
I have a line of code that works fine for a single column in the data frame. I would now like to convert this so that it finds all the columns in the data frame (returnsall)and passes them through this line.
The line of code is
The returnsall dataframe looks like this:
BCE.TO RCI-B.TO T.TO
Date
2010-01-05 -1.476648 -1.827309 -0.087740
2010-01-06 -0.522831 -0.192583 0.087817
2010-01-07 -2.592855 -0.482278 -0.380206
2010-01-08 0.143890 1.357011 0.763314
2010-01-11 -0.395117 1.880815 -0.641015
Any help would be appreciated. thanks.
I have a line of code that works fine for a single column in the data frame. I would now like to convert this so that it finds all the columns in the data frame (returnsall)and passes them through this line.
The line of code is
1 2 3 4 5 |
stock = 'T.TO' seriesObj = returnsall. apply ( lambda x: True if x[stock] > 2 else False , axis = 1 ) # Count number of True in series numOfRows = len (seriesObj[seriesObj = = True ].index) print ( 'Number of Rows in dataframe in which change > 5 : ' , numOfRows) |
BCE.TO RCI-B.TO T.TO
Date
2010-01-05 -1.476648 -1.827309 -0.087740
2010-01-06 -0.522831 -0.192583 0.087817
2010-01-07 -2.592855 -0.482278 -0.380206
2010-01-08 0.143890 1.357011 0.763314
2010-01-11 -0.395117 1.880815 -0.641015
Any help would be appreciated. thanks.