How To Convert Pandas To Numpy
Pandas and numpy work very well together. It is quite easy to transform a pandas dataframe into a numpy array. Simply using the to_numpy() function provided by Pandas will do the trick.
If we wanted to turn an entire dataframe into a numpy array, we can simply use the following line of code:
This will return us a numpy 2D array of the same size as our dataframe (df), but with the column names discarded.
If we wanted to convert just the first two columns in a dataframe into a numpy array, we can use to_numpy() as follows:
If we wanted to convert just a few cells of data in a dataframe into a numpy array, we can simply slice the dataframe and convert the output using to_numpy():
The above code converts the first three columns and first three rows to a numpy array.
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