How to iterate over columns of pandas dataframe to run regression
You can use iteritems():
for name, values in df.iteritems(): print('{name}: {value}'.format(name=name, value=values[0]))
This answer is to iterate over selected columns as well as all columns in a DF.
df.columns gives a list containing all the columns' names in the DF. Now that isn't very helpful if you want to iterate over all the columns. But it comes in handy when you want to iterate over columns of your choosing only.
We can use Python's list slicing easily to slice df.columns according to our needs. For eg, to iterate over all columns but the first one, we can do:
for column in df.columns[1:]: print(df[column])Similarly to iterate over all the columns in reversed order, we can do:
for column in df.columns[::-1]: print(df[column])We can iterate over all the columns in a lot of cool ways using this technique. Also remember that you can get the indices of all columns easily using:
for ind, column in enumerate(df.columns): print(ind, column)