如何根据第一列的条件在 pandas 中添加新行？

Question

I have the following pandas dataframe:Example input data

I would like to iterate through the rows in only the first column and if it meets a condition (ie contains the string 'hello') I would like to add an empty row above this with only the first column being populated.

Example output

I have tried: df.loc[0] ='My new title'

This adds a row but the title is on every column.

I'm guessing the syntax would be something like: `

for i in df.iloc[0]:
    if i == 'hello':
    df.loc[-1] ='My new title'
print(df)

` This is not working either - could someone point me in the right direction. Thanks

Answer 1

You can add a new row in this way

import pandas

data = [['tom', 10], ['nick', 15], ['juli', 14]] 
df = pandas.DataFrame(data, columns = ['Name', 'Age']) 

df2 = pandas.DataFrame([['My new title', None]], columns = ['Name', 'Age'])
rownumber = 0
for i in df.iloc[0:,0]:

    if i == "nick":
        df = pandas.concat([df.iloc[:rownumber], df2, df.iloc[rownumber:]]).reset_index(drop=True)
        rownumber += 1

    rownumber += 1

this will add a new row before every "nick"