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I have mounted PyQt5 and PyQt5-tools working with command prompt and pip install PyQt5 then pip install PyQt5-instruments every thing put in great
Then, in gradebook.py, start off by introducing a module-amount you could check here docstring that explains the objective of the file. You can even import a handful of libraries at the moment:
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The many modifications to gradebook.py produced Within this segment are gathered inside the 02-merging-dataframes.py file. You can download the resource code by clicking the connection below:
To acquire all around this, usecols also accepts functions which can be named with one argument, the column name. In the event the purpose returns Real, then the column is incorporated.
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In this particular code, you choose the columns of final_data which have the identical names as being the index in weightings. You have to try this for the reason that a few of the other columns in final_data have type str, so pandas will raise a TypeError if you are trying to multiply weightings by all of final_data.