WebJun 19, 2024 · It is possible if set columns names: df.columns.name = 'text' Or rename_axis (new in pandas 0.18.0):. df = df.rename_axis('text', … WebIf you want a DataFrame whose column is the group sizes, indexed by the groups, with a custom name, you can use the .to_frame () method and use the desired column name as its argument. grpd = df.groupby ( ['A','B']).size ().to_frame ('size') If you wanted the groups to be columns again you could add a .reset_index () at the end. Share
Defining DataFrame Schema with StructField and StructType
Web20 hours ago · I want to create X number of new columns in a pandas dataframe based on an existing column of the dataframe. I would like to create new columns that shift the values in the original column by 1 at a time. I wrote the following code for this purpose: import pandas as pd x = range(1,10000) df = pd.DataFrame({'QObs':x}) for i in … WebJul 31, 2015 · You can name the dataframe with the following, and then call the name wherever you like: import pandas as pd df = pd.DataFrame ( data=np.ones ( [4,4]) ) df.name = 'Ones' print df.name >>> Ones Share Improve this answer Follow edited Dec 25, 2024 at 0:44 user 10.7k 6 23 80 answered Jul 30, 2015 at 15:09 ajsp 2,422 22 33 3 davina hehir
Pandas Assign New Columns to a DataFrame
WebMar 8, 2024 · 3 Answers Sorted by: 5 Just setup the index first, then tanspose the dataframe df.index = pd.Index ( ['category','product','price'],name='company') df.T company category product price alpha public prodA 100 bravo private prodB 200 charlie public prodB 300 Share Improve this answer Follow answered Mar 8, 2024 at 0:12 DJK 8,774 4 24 40 … WebFeb 12, 2024 · if by row names you mean the content of a data frame column, let's call it names, you can just replace new_names by that column (e.g.: df ["names"].tolist (). Hope it helps! – cmaureir Feb 12, 2024 at 12:37 Add a comment 0 Just do this import pandas as pd word_data = pd.DataFrame (word_data,columns=list (valence_data)) WebJul 29, 2016 · The method DataFrame.sum () does an aggregation and therefore returns a Series, not a DataFrame. And a Series has no columns, only an index. If you want to create a DataFrame out of your sum you can change a = df.sum () by: a = pandas.DataFrame (df.sum (), columns = ['whatever_name_you_want']) Share Improve … bb gun m24