I have two csv file: aaa and bbb. aaa file have 4 column as follow name
2 0 0 1
7 0 1 1
8 1 1 0
and bbb have one column as follow 7 8 I want to search about 7,8 (bbb) in file aaa then get whole row of 7 and 8 in aaa as a result i.e i want to get 0 1 1 and 1 1 0 as a result then save it in csv file.
aaa=pd.read_csv('aaa.csv',index_col ="name")
bbb=pd.read_csv('bbb.csv', header=None)
c=bbb[0].values
for i in c:
res=aaa.loc[i]
print(res)
for i in range(0,2):
print(res[i])
import csv
def Save(res):
with open('Saved.csv', 'a') as Saved:
cw = csv.writer(Saved)
cw.writerow([res])
df1 = pd.read_csv('aaa.csv')
df2 = pd.read_csv('bbb.csv', header=None)
keepRow = df2[0].values
# Get rows that have on of the keepRow values in column 0
df3 = df1.loc[df1["firstColumn"].isin(keepRow)]
# drop the keepRow column
df3= df3.drop("firstColumn", axis=1)
#write to csv
df3.to_csv("ok.csv", index=False)