diff --git "a/\345\213\230\350\257\257\350\241\250.md" "b/\345\213\230\350\257\257\350\241\250.md"
index 495fe54..9baf536 100644
--- "a/\345\213\230\350\257\257\350\241\250.md"
+++ "b/\345\213\230\350\257\257\350\241\250.md"
@@ -8,6 +8,12 @@
 |P85|df["唯一识别码"].dtype()|df["唯一识别码"].dtype|
 |P87|df.index=[1,2,3,4,5,6]|df.index=[1,2,3,4,5]|
 |P89|df.rename(columns={"订单编号":"新订单编号","客户姓名":"新客户姓名"}index={1:"一",2:"二",3:"三"})|df.rename(columns={"订单编号":"新订单编号","客户姓名":"新客户姓名"},index={1:"一",2:"二",3:"三"})|
+|P98|df.iloc[0:2,1:2]|df.iloc[0:3,1:3]|
+|P99|df.ix[0:2,["客户姓名","唯一识别码"]]|df.ix[0:3,["客户姓名","唯一识别码"]]|
+|P101|df["年龄"].replace(240,33)|df.replace(240,33)或者  df["年龄"].replace(240,33,inplace = True) 再打印df|
+|P104|replace({"A":"a","B":"b","C":c}|replace({"A":"a","B":"b","C":c})|
+|P116|df.isin([A2,31])|df.isif(["A2",31])|
+|P118|pd.cut(df["年龄"],3,bins = [0,3,6,9,10])|pd.cut(df["年龄"],bins = [0,3,6,9,10])|
 |P124|Nmae|Name|
 |P125、P124|Conpany|Company|
 |P129|df["C1"] != df["C2"]|df["C1"] < df["C2"]|
@@ -29,4 +35,3 @@
 |P237|s_t_1=sales/traffic|s_t_1=sales_1/traffic_1|
 |P237|s_t_2=sales/traffic|s_t_2=sales_2/traffic_2|
 |P237|s_t_3=sales/traffic|s_t_3=sales_3/traffic_3|
-