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I have imported a Excel sheet into pandas. It has 7 columns which are numeric and 1 column which is a string (a flag).
After converting the flag to a categorical variable, I am trying to drop the string column from the Pandas dataframe. However, I am not able to do it.
Here's the code:
[In] parts_median_temp.columns
[Out] Index([u'PART_NBR', u'PRT_QTY', u'PRT_DOL', u'BTS_QTY', u'BTS_DOL', u'Median', u'Upper_Limit', u'Flag_median'], dtype='object')
The column I'm trying to drop is 'Flag_median'.
[In] parts_median_temp.drop('Flag_median')
[Out] ...ValueError: labels ['Flag_median'] not contained in axis
Help me drop the Flag_median column from the Pandas dataframe.
310
If the date data is a pandas object dtype, the drop_duplicates will not work - do a pd. to_datetime first.
To drop duplicate columns from pandas DataFrame use df. T. drop_duplicates(). T , this removes all columns that have the same data regardless of column names.
During the data analysis operation on a dataframe, you may need to drop a column in Pandas. You can drop column in pandas dataframe using the df. drop(“column_name”, axis=1, inplace=True) statement.
You have to use the inplace and axis parameter:
parts_median_temp.drop('Flag_median', axis=1, inplace=True)
The default value of 'inplace' is False, and axis' default is 0. axis=0 means dropping by index, whereas axis=1 will drop by column.
96
You can try this:
parts_median_temp = parts_median_temp.drop('Flag_median', axis=1)
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