Now, let's see the content of the second_DataFrame. . Solution: Whenever this happens, go ahead and check whether number of columns from data, i.e. How to Convert a Python Dictionary to a Pandas DataFrame (key, _HashedCategoricalColumn): raise ValueError( 'categorical_column_with_hash_bucket is not supported for crossing. Splitting a column in pandas that has some null or empty values Thanks a lot Answer 1 Your method works for me on pandas v0.22. You need a bit modify solution, because sometimes it return 2 and sometimes only one column: df2 = pd.DataFrame ( {'STATUS': ['Estimated 3:17 PM','Delayed 3:00 PM']}) df3 = df2 ['STATUS'].str.split (n=1, expand=True) df3.columns = ['STATUS_ID {}'.format (x+1) for x in df3.columns] print (df3) STATUS_ID1 STATUS_ID2 0 Estimated 3:17 PM 1 Delayed . Thanks in advance. Splitting a column in pandas that has some null or empty values Python ValueError Exception Handling Examples - JournalDev (ValueError: Columns must be same length as key) from ... - Qandeel Academy This will check whether values from a column from the first DataFrame match exactly value in the column of the second: import numpy as np df1['low_value'] = np.where(df1.type == df2.type, 'True', 'False') Copy. Use the index from the right DataFrame as the join key. Looping through rows and adding column to dataframe that maintains ... The DataFrame columns must be unique for orients 'index', 'columns', and 'records'. When you have the same type of object, but the incorrect value, Python won't accept your code.
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