Scenario: I have a code that reads data from excel worksheets into dataframes, merges into one dataframe, and perform some cleaning procedures.
Issue: I am trying to add a column with a given value to the beginning of the dataframe with pd.insert, but every time I run this line the dataframe disappears from the variable explorer.
This is the line I am using:
fnl = fnl.insert(loc=1, column='N', value=15)
Question: Why could be the reason for this, and how to fix it?
Add new columns to a DataFrame using [] operator If we want to add any new column at the end of the table, we have to use the [] operator. Let's add a new column named "Age" into "aa" csv file. In the above code, Age value has defined the universal value that means its value is common to all the rows.
pd.DataFrame.insert
acts in place and doesn't return anything. All you need is
fnl.insert(1, 'N', 15)
Because it returns nothing, you were assigning None
to fnl
and that's why it was disappearing.
You could also append it to the end of the dataframe (the order of the columns generally shouldn't matter except for presentation purposes).
fnl = fnl.assign(N=15)
This returns a copy of the dataframe with the new column N
added with values equal to 15.
Because the index doesn't matter in this case, it should be more efficient to append via:
fnl['N'] = 15
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