March 2020
Beginner to intermediate
352 pages
8h 40m
English
Content preview from Hands-On Exploratory Data Analysis with Python
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Concatenating along with an axis
This is the first option. We'll use the pd.concat() method from the pandas library.
The code for combining the dataframes is as follows:
# Option 1dfSE = pd.concat([df1SE, df2SE], ignore_index=True)dfML = pd.concat([df1ML, df2ML], ignore_index=True)df = pd.concat([dfML, dfSE], axis=1)df
The code should be self-explanatory by now. We first concatenated the dataframes from the Software Engineering course and the Machine Learning course. Then, we concatenated the dataframes with axis=1 to place them side by side.
The output of the preceding code is as follows:
You probably noticed that the StudentID field is ...
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