Pandas之数据追加df.append方式

df.append(other, ignore_index=False, verify_integrity=False, sort=False)

import pandas as pd
df1 = pd.DataFrame({'x':[1,2],'y':[3,4]})
df2 = pd.DataFrame({'x':[5,6],'y':[7,8]})
res1 = df1.append(df2)
# 追加多个数据
res2 = df1.append([df2,df2,df2])

import pandas as pd
df1 = pd.DataFrame({'x':[1,2],'y':[3,4]})
df3 = pd.DataFrame({'y':[5,6],'z':[7,8]})
# 追加合并
res = df1.append(df3)

import pandas as pd
df1 = pd.DataFrame({'x':[1,2],'y':[3,4]})
df2 = pd.DataFrame({'x':[5,6],'y':[7,8]})
# 忽略索引
res = df1.append(df2, ignore_index=True)

import pandas as pd
df1 = pd.DataFrame({'x':[1,2],'y':[3,4]})
df2 = pd.DataFrame({'x':[5,6],'y':[7,8]})
# 合并两个相同的内容(报错)
df1.append([df2,df2], verify_integrity=True)

import pandas as pd
df = pd.DataFrame([['liver','E',89,21,24,64],
                   ['Arry','C',36,37,37,57],
                   ['Ack','A',57,60,18,84],
                   ['Eorge','C',93,96,71,78],
                   ['Oah','D',65,49,61,86]
                  ], 
                   columns = ['name','team','Q1','Q2','Q3','Q4'])
# 定义新同学的信息
lily = pd.Series(['lily','C',55,56,57,58],
                 index=['name','team','Q1','Q2','Q3','Q4'])
# 追加
df = df.append(lily, ignore_index=True)

import pandas as pd
df = pd.DataFrame([['liver','E',89,21,24,64],
                   ['Arry','C',36,37,37,57],
                   ['Ack','A',57,60,18,84],
                   ['Eorge','C',93,96,71,78],
                   ['Oah','D',65,49,61,86]
                  ], 
                   columns = ['name','team','Q1','Q2','Q3','Q4'])
# 将学生信息定义为一个字典
lily = {'name':'lily','team':'C','Q1':55,'Q2':56,'Q3':57,'Q4':58}
df = df.append(lily, ignore_index=True)

import pandas as pd
df_list = []
df1 = pd.DataFrame([['A',1]],columns = ['Site','number'])
df_list.append(df1)
df2 = pd.DataFrame([['B',2]],columns = ['Site','number'])
df_list.append(df2)
df_all = pd.concat([df1,df2])
df3 = pd.DataFrame([['C',3]],columns = ['Site','number'])
df_list.append(df3)
df_all = pd.concat(df_list)
df_all = df_all.reset_index(drop=True)