如果单元格包含多个字符串，请放入Pandas中的新单元格

Question

So I'm working with Pandas and I have multiple words (ie strings) in one cell, and I need to put every word into the new row and keep coordinated data. I've found a method which could help me,but it works with numbers, not strings. So what method do I need to use?

Simple example of my table:

id name     method
1  adenosis mammography, mri

And I need it to be:

id name     method
1  adenosis mammography
            mri

Thanks!

UPDATE:

That's what I'm trying to do, according to @jezrael's proposal:

import pandas as pd
import numpy as np
xl = pd.ExcelFile("./dev/eyetoai/google_form_pure.xlsx")
xl.sheet_names
df = xl.parse("Form Responses 1")
df.groupby(['Name of condition','Condition description','Relevant Modality','Type of finding Mammography', 'Type of finding MRI', 'Type of finding US']).mean()
splitted = df['Relevant Modality'].str.split(',')
l = splitted.str.len()
df = pd.DataFrame({col: np.repeat(df[col], l) for col in ['Name of condition','Condition description']})
df['Relevant Modality'] = np.concatenate(splitted)

But I have this type of error: TypeError: repeat() takes exactly 2 arguments (3 given)

Answer 1

You can use read_excel + split + stack + drop + join + reset_index :

#define columns which need split by , and then flatten them
cols = ['Condition description','Relevant Modality']

#read csv to dataframe
df = pd.read_excel('Untitled 1.xlsx')
#print (df)

df1 = pd.DataFrame({col: df[col].str.split(',', expand=True).stack() for col in cols})
print (df1)
                                 Condition description Relevant Modality
0 0  Fibroadenomas are the most common cause of a b...       Mammography
  1                                                NaN                US
  2                                                NaN               MRI
1 0                    Papillomas are benign neoplasms       Mammography
  1                                  arising in a duct                US
  2   either centrally or peripherally within the b...               MRI
  3   leading to a nipple discharge. As they are of...               NaN
  4                 the discharge may be bloodstained.               NaN
2 0                                                 OK       Mammography
3 0                                      breast cancer       Mammography
  1                                                NaN                US
4 0                                breast inflammation       Mammography
  1                                                NaN                US

#remove original columns
df = df.drop(cols, axis=1)
#create Multiindex in original df for align rows
df.index = [df.index, [0]* len(df.index)]
#join original to flattened columns, remove Multiindex
df = df1.join(df).reset_index(drop=True)
#print (df)

Answer 2

The previous answer is correct, I think you should use the id of reference. an easier way could possibly be to just parse the method string to a list:

method_list = method.split(',')
method_list = np.asarray(method_list)

If you have any trouble with indexing when initializing your Dataframe, just set index to:

pd.Dataframe(data, index=[0,0])
df.set_index('id')

passing the list as a value for your method key will automatically create a copy of both the index - 'id' and 'name'

id       method      name
1   mammography  adenosis
1           mri  adenosis

I hope this helps, all the best