Pandas Dataframe Muliplication with Dataframes with uneven number of rows
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I have two dataframes one containing information regarding the sectors that I am going to buy or sell short and one containing data about individual stocks returns and their sectors.
a 1 means I am long the sector
a -1 means I am short the sector
Sector positioning dataframe:
The second dataframe is of stock returns but in addtion to the ticker I have the sector/industry in a secondary index
stock returns
What I would like is a dataframe which shows the result of multiplying the stock returns dataframe by the sector positioning dataframe if and only if the Industry in the stock return dataframe matches the industry in the sector dataframe. (I doubt that explanation is clear so I will try it another way)
is there a vectorized way that would yield the equivalent of figuring out the industry in EACH row of the stock returns and then multiplying that row by the row in the sector dataframe w/ the same industry.
I think the result should look like this:
Resulting Dataframe
Thank you very much in advance!
python dataframe multiplication
asked Nov 22 '18 at 0:32
user3814004user3814004
63
add a comment |
I have two dataframes one containing information regarding the sectors that I am going to buy or sell short and one containing data about individual stocks returns and their sectors.
a 1 means I am long the sector
a -1 means I am short the sector
Sector positioning dataframe:
The second dataframe is of stock returns but in addtion to the ticker I have the sector/industry in a secondary index
stock returns
What I would like is a dataframe which shows the result of multiplying the stock returns dataframe by the sector positioning dataframe if and only if the Industry in the stock return dataframe matches the industry in the sector dataframe. (I doubt that explanation is clear so I will try it another way)
is there a vectorized way that would yield the equivalent of figuring out the industry in EACH row of the stock returns and then multiplying that row by the row in the sector dataframe w/ the same industry.
I think the result should look like this:
Resulting Dataframe
Thank you very much in advance!
python dataframe multiplication
asked Nov 22 '18 at 0:32
user3814004user3814004
63
add a comment |
I have two dataframes one containing information regarding the sectors that I am going to buy or sell short and one containing data about individual stocks returns and their sectors.
a 1 means I am long the sector
a -1 means I am short the sector
Sector positioning dataframe:
The second dataframe is of stock returns but in addtion to the ticker I have the sector/industry in a secondary index
stock returns
What I would like is a dataframe which shows the result of multiplying the stock returns dataframe by the sector positioning dataframe if and only if the Industry in the stock return dataframe matches the industry in the sector dataframe. (I doubt that explanation is clear so I will try it another way)
is there a vectorized way that would yield the equivalent of figuring out the industry in EACH row of the stock returns and then multiplying that row by the row in the sector dataframe w/ the same industry.
I think the result should look like this:
Resulting Dataframe
Thank you very much in advance!
python dataframe multiplication
asked Nov 22 '18 at 0:32
user3814004user3814004
63
I have two dataframes one containing information regarding the sectors that I am going to buy or sell short and one containing data about individual stocks returns and their sectors.
a 1 means I am long the sector
a -1 means I am short the sector
Sector positioning dataframe:
The second dataframe is of stock returns but in addtion to the ticker I have the sector/industry in a secondary index
stock returns
What I would like is a dataframe which shows the result of multiplying the stock returns dataframe by the sector positioning dataframe if and only if the Industry in the stock return dataframe matches the industry in the sector dataframe. (I doubt that explanation is clear so I will try it another way)
is there a vectorized way that would yield the equivalent of figuring out the industry in EACH row of the stock returns and then multiplying that row by the row in the sector dataframe w/ the same industry.
I think the result should look like this:
Resulting Dataframe
Thank you very much in advance!
python dataframe multiplication
python dataframe multiplication
asked Nov 22 '18 at 0:32
user3814004user3814004
63
asked Nov 22 '18 at 0:32
user3814004user3814004
63
edited Nov 22 '18 at 1:06
user3814004
asked Nov 22 '18 at 0:32
user3814004user3814004
63
asked Nov 22 '18 at 0:32
user3814004user3814004
63
asked Nov 22 '18 at 0:32
user3814004user3814004
63
63
add a comment |
add a comment |
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