use pandas.read_excel but the column names of the outcome are switched
I have some data in an excel file to read. But I just got some wierd problem. The data in the excel file are like that.
How do I multiply the values of an array contained in a column in a dataframe, by the value in another column?
I have tried to do this in order to create a new column, with each row being an array containing the values of column b multiplied by column a.
How do I multiply the values of an array contained in a column in a dataframe, by the value in another column?
I have tried to do this in order to create a new column, with each row being an array containing the values of column b multiplied by column a.
How do I multiply the values of an array contained in a column in a dataframe, by the value in another column?
I have tried to do this in order to create a new column, with each row being an array containing the values of column b multiplied by column a.
How do I multiply the values of an array contained in a column in a dataframe, by the value in another column?
I have tried to do this in order to create a new column, with each row being an array containing the values of column b multiplied by column a.
How do I multiply the values of an array contained in a column in a dataframe, by the value in another column?
I have tried to do this in order to create a new column, with each row being an array containing the values of column b multiplied by column a.
How do I multiply the values of an array contained in a column in a dataframe, by the value in another column?
I have tried to do this in order to create a new column, with each row being an array containing the values of column b multiplied by column a.
How do I multiply the values of an array contained in a column in a dataframe, by the value in another column?
I have tried to do this in order to create a new column, with each row being an array containing the values of column b multiplied by column a.
How to on a rolling window pass two column vectors instead of one?
I’m computing technical indicators on a rolling basis to avoid any look-ahead bias, for example, for model training and back-testing. To that end I would like to compute the indicator ForceIndexIndicator using the TA Python project. However this needs two inputs instead of one: close and volume, and I can’t get hold of both on my rolling – apply pipeline:
How to on a rolling window pass two column vectors instead of one?
I’m computing technical indicators on a rolling basis to avoid any look-ahead bias, for example, for model training and back-testing. To that end I would like to compute the indicator ForceIndexIndicator using the TA Python project. However this needs two inputs instead of one: close and volume, and I can’t get hold of both on my rolling – apply pipeline: