如何将新行追加到pandas中的数据框？

Question

这是我使用过的代码

    iname = "name1"    
    ipassword = "password1"
    iemail = "email@domain.com"
    res1 = []
    df = pd.read_csv("login.csv", sep=',', encoding="utf-8")
    res1.append(iname,ipassword,iemail)
    print(res1,res2,res3)
    df.to_csv("login.csv", index=False)

如何使用pandas dataframe将名称，密码和电子邮件存储在csv文件中。

login.csv

name     password     email
admin    admin        asdfs
zds      sd           dsssfsfd
vipul    rao          dsfdsfs

Answer 1

另一种简单的方法是使用pd.Dataframe.loc方法。

row = [iname, ipassword, iemail]
df.loc[len(df)] = row
df.to_csv("login.csv", index=False)

Answer 2

使用 -

iname = "name1"    
ipassword = "password1"
iemail = "email@domain.com"

df2 = df.append(pd.DataFrame([[iname,ipassword,iemail]], columns
=df.columns))
df2.to_csv("login.csv", index=False)

<强>输出

    name   password             email
0  admin      admin             asdfs
1    zds         sd          dsssfsfd
2  vipul        rao           dsfdsfs
0  name1  password1  email@domain.com

Answer 3

您可以使用pd.DataFrame.loc向数据框添加行：

iname = "name1"    
ipassword = "password1"
iemail = "email@domain.com"

df = pd.read_csv("login.csv", sep=',', encoding="utf-8")

df.loc[df.index.max()+1] = [iname, ipassword, iemail]

df.to_csv("login.csv", index=False)

Answer 4

一个好方法是先创建一个空列表，然后填充它，然后像这样添加到空数据框中

data=[]

for i, row in new_df.head(4).iterrows():
    sequence=str(row['body'])
    author=row['author']
    data.append([author,sequence]) 
d=pd.DataFrame(data,columns = ['author', 'results'])

它将给出这样的结果