如何按标题读取 csv 文件并按标题打印值

Question

I have below csv file . How can i read line by line as per header and print the values

EmpId,EmpName,Age
1,X,21
2,Y,22
3,Z,23

I am trying to run below code and trying to print all the 3 columns

file = pd.read_csv('File.csv',names=[EmpId,EmpName,Age], delimiter=',')

for line in file:
    EmployeeID = EmpID (I want to assign value of EmpId to this variable )
    print(EmployeeID)

Example: as per my for loop when i am reading first line i want to print EmployeeID = 1

Answer 1

You have several methods:

1. If you only want the employeeId you can do this

for EmployeeID in file.EmpId:
    # EmployeeID contains the id
    ...

2. If you want to iterate over the rows and not lose the information of other columns

for index, row in file.iterrows():
    EmployeeID = row["EmpId"]
    # You can access to others columns by row[col]
    ...

But keep in mind that in general you shouldn't iter over the rows, look at this discussion: iterrows performance issues . You might have no choice but try to see if you can implement vectorization or use apply function .

Example apply to print the rows and perform some things:

def rowFunction(row):
    EmployeeId = row["EmpId"]
    print(row)
    ...
    return ...

file.apply(lambda row: rowFunction(row), axis=1)

Although apply is in general used to perform some calculation, and should return something.

Answer 2

there is a lot of methods

file = pd.read_csv('File.csv',names=['EmpId','EmpName','Age'], delimiter=',')
print(file.EmpId)

If u want to use the loop:

for line in file.values:
    print(line[0])  # 0: EmpId, 1:EmpName, 2:Age ...

or

for i in file.EmpId:
    print(i)

or

for i in file.EmpId.values:
    print(i)

Answer 3

# pandas.read_csv return pandas.DataFrame object, so df is a more common variable name
df = pd.read_csv('File.csv',names=[EmpId,EmpName,Age], delimiter=',')

#iterrows() is a good function to iteration rows in DataFrame
for index, row in df.iterrows():
    EmployeeID = row['EmpID']
    print(EmployeeID)