I have an excel table of the following type (the problem described below is driven by the presence of the united cells).
I am using read_excel from pandas to read it.
What I want: I would like to use the values in the first column as an index, and to have the values in the third column combined in one cell, e.g. like here.
What I get from directly applying read_excel can be seen here.
If needed: please see the code used to read the file below (I am reading it from google drive in google colab):
path = '/content/drive/MyDrive/ExampleFile.xlsx'
pd.read_excel(path, header = 0, index_col = 0)
Could you please help? Please let me know if anything in the question is unclear.
CodePudding user response:
here is one way to accomplish it. I created the xls similar to yours, the first column had a heading of sno
# fill the null values with values from previous rows
df=df.ffill()
# combine the rows where class is the same and create a new column
df=df.assign(comb=df.groupby(['class'])['type'].transform(lambda x: ','.join(x)))
# drop the duplicated rows
df2=df.drop_duplicates(subset=['class','comb'])[['class','comb']]
class comb
0 fruit apple,orange
2 toys car,truck,train