The problem for "ValueError: Columns must be same length as key (Split column in multiple columns using python)" is explained below clearly: Columns must be same length as key A passthrough file may be required (check inside the cryoSPARC 2+ job directory) Columns must be same length as key Traceback (most recent call last): File "/opt/pyem/csparc2star.py", line 42, in main df = metadata.parse_cryosparc_2_cs(cs, passthrough=args.passthrough, minphic=args.minphic) New APIs for accessing the array backing a Series or Index. Fix Exception. Looping through rows and adding column to dataframe that maintains ... Exporting to Excel — Thermobar v.0 documentation If an array is passed, it is being used as the same manner as column values. These are the changes in pandas 0.24.0. If it is a MultiIndex, the number of keys in the other DataFrame (either the index or a number of columns) must match the number of levels. If an array is passed, it must be the same length as the data. Pandas Series partial Replacement. . The transform function must: Return a result that is either the same size as the group chunk or broadcastable to the size of the group chunk (e.g., a scalar, grouped.transform(lambda x: x.iloc[-1])). (ValueError: Columns must be same length as key) from sentiment analysis pandas.read_json — pandas 1.4.2 documentation Thanks in advance. Thanks a lot Answer 1 Your method works for me on pandas v0.22. A Computer Science portal for geeks. And L is a list of categorical features with numeric values. What's difference between df and df2? An array is basically a list of values that are all the same type, which you can think of as something like a spreadsheet with rows and columns. Or if you are not sure you can also omit the columns parameter. "ValueError: Columns must be same length as key" I have experienced this error before and I found it was due to having multiple matches in the string - but these strings are short and simple! "pandas fillna valueerror columns must be same length as key" 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 . I would split on the spaces. Python Pandas - Quick Guide - Tutorials Point The code should add 1 to hand_count whenever "starting hand" appears so that the log entries can be organized by the hand number. Columns must be same length as key - fixexception.com

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