How do you write in the header column for CSV file?
up vote
-1
down vote
favorite
def write_vt(d, filename):
f = open(filename, 'w')
I am supposed to open the new file in write mode and then write in the header column, then use a for loop to add strings of data into the file. But I just can't figure out how to do this...
Original filename is votes.csv
.
python python-2.7 python-3.7
add a comment |
up vote
-1
down vote
favorite
def write_vt(d, filename):
f = open(filename, 'w')
I am supposed to open the new file in write mode and then write in the header column, then use a for loop to add strings of data into the file. But I just can't figure out how to do this...
Original filename is votes.csv
.
python python-2.7 python-3.7
add a comment |
up vote
-1
down vote
favorite
up vote
-1
down vote
favorite
def write_vt(d, filename):
f = open(filename, 'w')
I am supposed to open the new file in write mode and then write in the header column, then use a for loop to add strings of data into the file. But I just can't figure out how to do this...
Original filename is votes.csv
.
python python-2.7 python-3.7
def write_vt(d, filename):
f = open(filename, 'w')
I am supposed to open the new file in write mode and then write in the header column, then use a for loop to add strings of data into the file. But I just can't figure out how to do this...
Original filename is votes.csv
.
python python-2.7 python-3.7
python python-2.7 python-3.7
edited Nov 11 at 19:40
martineau
65.1k987176
65.1k987176
asked Nov 11 at 19:33
Benjamin Han
52
52
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
up vote
0
down vote
accepted
There are many ways to do this, depending on your data and what tools you're willing to use:
a) Writing the CSV row by row with lists and a header
import csv
data_list = [
["Russia", "Moscow", "Russian"],
["US", "Washington, D.C.", "English"],
["Colombia", "Bogotá", "Spanish"]
]
header = ["col1", "col2", "col3"]
def write_csv_from_lists(data, header, filename):
with open(filename, "w") as csv_file:
csv_writer = csv.writer(csv_file)
csv_writer.writerow(header) # write header
for row in data:
csv_writer.writerow(row) # write each row
write_csv_from_lists(data_list, header, "file1.csv")
file1.csv
col1,col2,col3
Russia,Moscow,Russian
US,"Washington, D.C.",English
Colombia,Bogotá,Spanish
b) Writing the CSV row by row with dicts and a header
import csv
data_dict = [
{"col1": "Russia", "col2": "Moscow", "col3": "Russian"},
{"col1": "US", "col2": "Washington, D.C.", "col3": "English"},
{"col1": "Colombia", "col2": "Bogotá", "col3": "Spanish"}
]
header = ["col1", "col2", "col3"]
def write_csv_from_dicts(data, header, filename):
with open(filename, "w") as csv_file:
dict_writer = csv.DictWriter(csv_file, fieldnames=header)
dict_writer.writeheader() # write header
for row in data:
dict_writer.writerow(row) # write each row
write_csv_from_dicts(data_dict, header, "file2.csv")
file2.csv
col1,col2,col3
Russia,Moscow,Russian
US,"Washington, D.C.",English
Colombia,Bogotá,Spanish
c) Writing the CSV with pandas
import pandas as pd
data_dict = [
{"col1": "Russia", "col2": "Moscow", "col3": "Russian"},
{"col1": "US", "col2": "Washington, D.C.", "col3": "English"},
{"col1": "Colombia", "col2": "Bogotá", "col3": "Spanish"}
]
def write_csv_pandas(data, filename):
pd.DataFrame(data).to_csv(filename, index=False)
write_csv_pandas(data_dict, "file3.csv")
file3.csv
col1,col2,col3
Russia,Moscow,Russian
US,"Washington, D.C.",English
Colombia,Bogotá,Spanish
add a comment |
up vote
1
down vote
You can use this to add the header:
header = "col1,col2,col3"
with open('file.csv','w') as my_csv:
my_csv.write(header+'n')
concerning filling your CSV with data, it will depend on the original data you will use as source.
add a comment |
2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
accepted
There are many ways to do this, depending on your data and what tools you're willing to use:
a) Writing the CSV row by row with lists and a header
import csv
data_list = [
["Russia", "Moscow", "Russian"],
["US", "Washington, D.C.", "English"],
["Colombia", "Bogotá", "Spanish"]
]
header = ["col1", "col2", "col3"]
def write_csv_from_lists(data, header, filename):
with open(filename, "w") as csv_file:
csv_writer = csv.writer(csv_file)
csv_writer.writerow(header) # write header
for row in data:
csv_writer.writerow(row) # write each row
write_csv_from_lists(data_list, header, "file1.csv")
file1.csv
col1,col2,col3
Russia,Moscow,Russian
US,"Washington, D.C.",English
Colombia,Bogotá,Spanish
b) Writing the CSV row by row with dicts and a header
import csv
data_dict = [
{"col1": "Russia", "col2": "Moscow", "col3": "Russian"},
{"col1": "US", "col2": "Washington, D.C.", "col3": "English"},
{"col1": "Colombia", "col2": "Bogotá", "col3": "Spanish"}
]
header = ["col1", "col2", "col3"]
def write_csv_from_dicts(data, header, filename):
with open(filename, "w") as csv_file:
dict_writer = csv.DictWriter(csv_file, fieldnames=header)
dict_writer.writeheader() # write header
for row in data:
dict_writer.writerow(row) # write each row
write_csv_from_dicts(data_dict, header, "file2.csv")
file2.csv
col1,col2,col3
Russia,Moscow,Russian
US,"Washington, D.C.",English
Colombia,Bogotá,Spanish
c) Writing the CSV with pandas
import pandas as pd
data_dict = [
{"col1": "Russia", "col2": "Moscow", "col3": "Russian"},
{"col1": "US", "col2": "Washington, D.C.", "col3": "English"},
{"col1": "Colombia", "col2": "Bogotá", "col3": "Spanish"}
]
def write_csv_pandas(data, filename):
pd.DataFrame(data).to_csv(filename, index=False)
write_csv_pandas(data_dict, "file3.csv")
file3.csv
col1,col2,col3
Russia,Moscow,Russian
US,"Washington, D.C.",English
Colombia,Bogotá,Spanish
add a comment |
up vote
0
down vote
accepted
There are many ways to do this, depending on your data and what tools you're willing to use:
a) Writing the CSV row by row with lists and a header
import csv
data_list = [
["Russia", "Moscow", "Russian"],
["US", "Washington, D.C.", "English"],
["Colombia", "Bogotá", "Spanish"]
]
header = ["col1", "col2", "col3"]
def write_csv_from_lists(data, header, filename):
with open(filename, "w") as csv_file:
csv_writer = csv.writer(csv_file)
csv_writer.writerow(header) # write header
for row in data:
csv_writer.writerow(row) # write each row
write_csv_from_lists(data_list, header, "file1.csv")
file1.csv
col1,col2,col3
Russia,Moscow,Russian
US,"Washington, D.C.",English
Colombia,Bogotá,Spanish
b) Writing the CSV row by row with dicts and a header
import csv
data_dict = [
{"col1": "Russia", "col2": "Moscow", "col3": "Russian"},
{"col1": "US", "col2": "Washington, D.C.", "col3": "English"},
{"col1": "Colombia", "col2": "Bogotá", "col3": "Spanish"}
]
header = ["col1", "col2", "col3"]
def write_csv_from_dicts(data, header, filename):
with open(filename, "w") as csv_file:
dict_writer = csv.DictWriter(csv_file, fieldnames=header)
dict_writer.writeheader() # write header
for row in data:
dict_writer.writerow(row) # write each row
write_csv_from_dicts(data_dict, header, "file2.csv")
file2.csv
col1,col2,col3
Russia,Moscow,Russian
US,"Washington, D.C.",English
Colombia,Bogotá,Spanish
c) Writing the CSV with pandas
import pandas as pd
data_dict = [
{"col1": "Russia", "col2": "Moscow", "col3": "Russian"},
{"col1": "US", "col2": "Washington, D.C.", "col3": "English"},
{"col1": "Colombia", "col2": "Bogotá", "col3": "Spanish"}
]
def write_csv_pandas(data, filename):
pd.DataFrame(data).to_csv(filename, index=False)
write_csv_pandas(data_dict, "file3.csv")
file3.csv
col1,col2,col3
Russia,Moscow,Russian
US,"Washington, D.C.",English
Colombia,Bogotá,Spanish
add a comment |
up vote
0
down vote
accepted
up vote
0
down vote
accepted
There are many ways to do this, depending on your data and what tools you're willing to use:
a) Writing the CSV row by row with lists and a header
import csv
data_list = [
["Russia", "Moscow", "Russian"],
["US", "Washington, D.C.", "English"],
["Colombia", "Bogotá", "Spanish"]
]
header = ["col1", "col2", "col3"]
def write_csv_from_lists(data, header, filename):
with open(filename, "w") as csv_file:
csv_writer = csv.writer(csv_file)
csv_writer.writerow(header) # write header
for row in data:
csv_writer.writerow(row) # write each row
write_csv_from_lists(data_list, header, "file1.csv")
file1.csv
col1,col2,col3
Russia,Moscow,Russian
US,"Washington, D.C.",English
Colombia,Bogotá,Spanish
b) Writing the CSV row by row with dicts and a header
import csv
data_dict = [
{"col1": "Russia", "col2": "Moscow", "col3": "Russian"},
{"col1": "US", "col2": "Washington, D.C.", "col3": "English"},
{"col1": "Colombia", "col2": "Bogotá", "col3": "Spanish"}
]
header = ["col1", "col2", "col3"]
def write_csv_from_dicts(data, header, filename):
with open(filename, "w") as csv_file:
dict_writer = csv.DictWriter(csv_file, fieldnames=header)
dict_writer.writeheader() # write header
for row in data:
dict_writer.writerow(row) # write each row
write_csv_from_dicts(data_dict, header, "file2.csv")
file2.csv
col1,col2,col3
Russia,Moscow,Russian
US,"Washington, D.C.",English
Colombia,Bogotá,Spanish
c) Writing the CSV with pandas
import pandas as pd
data_dict = [
{"col1": "Russia", "col2": "Moscow", "col3": "Russian"},
{"col1": "US", "col2": "Washington, D.C.", "col3": "English"},
{"col1": "Colombia", "col2": "Bogotá", "col3": "Spanish"}
]
def write_csv_pandas(data, filename):
pd.DataFrame(data).to_csv(filename, index=False)
write_csv_pandas(data_dict, "file3.csv")
file3.csv
col1,col2,col3
Russia,Moscow,Russian
US,"Washington, D.C.",English
Colombia,Bogotá,Spanish
There are many ways to do this, depending on your data and what tools you're willing to use:
a) Writing the CSV row by row with lists and a header
import csv
data_list = [
["Russia", "Moscow", "Russian"],
["US", "Washington, D.C.", "English"],
["Colombia", "Bogotá", "Spanish"]
]
header = ["col1", "col2", "col3"]
def write_csv_from_lists(data, header, filename):
with open(filename, "w") as csv_file:
csv_writer = csv.writer(csv_file)
csv_writer.writerow(header) # write header
for row in data:
csv_writer.writerow(row) # write each row
write_csv_from_lists(data_list, header, "file1.csv")
file1.csv
col1,col2,col3
Russia,Moscow,Russian
US,"Washington, D.C.",English
Colombia,Bogotá,Spanish
b) Writing the CSV row by row with dicts and a header
import csv
data_dict = [
{"col1": "Russia", "col2": "Moscow", "col3": "Russian"},
{"col1": "US", "col2": "Washington, D.C.", "col3": "English"},
{"col1": "Colombia", "col2": "Bogotá", "col3": "Spanish"}
]
header = ["col1", "col2", "col3"]
def write_csv_from_dicts(data, header, filename):
with open(filename, "w") as csv_file:
dict_writer = csv.DictWriter(csv_file, fieldnames=header)
dict_writer.writeheader() # write header
for row in data:
dict_writer.writerow(row) # write each row
write_csv_from_dicts(data_dict, header, "file2.csv")
file2.csv
col1,col2,col3
Russia,Moscow,Russian
US,"Washington, D.C.",English
Colombia,Bogotá,Spanish
c) Writing the CSV with pandas
import pandas as pd
data_dict = [
{"col1": "Russia", "col2": "Moscow", "col3": "Russian"},
{"col1": "US", "col2": "Washington, D.C.", "col3": "English"},
{"col1": "Colombia", "col2": "Bogotá", "col3": "Spanish"}
]
def write_csv_pandas(data, filename):
pd.DataFrame(data).to_csv(filename, index=False)
write_csv_pandas(data_dict, "file3.csv")
file3.csv
col1,col2,col3
Russia,Moscow,Russian
US,"Washington, D.C.",English
Colombia,Bogotá,Spanish
answered Nov 12 at 7:54
Edgar R. Mondragón
1,2611619
1,2611619
add a comment |
add a comment |
up vote
1
down vote
You can use this to add the header:
header = "col1,col2,col3"
with open('file.csv','w') as my_csv:
my_csv.write(header+'n')
concerning filling your CSV with data, it will depend on the original data you will use as source.
add a comment |
up vote
1
down vote
You can use this to add the header:
header = "col1,col2,col3"
with open('file.csv','w') as my_csv:
my_csv.write(header+'n')
concerning filling your CSV with data, it will depend on the original data you will use as source.
add a comment |
up vote
1
down vote
up vote
1
down vote
You can use this to add the header:
header = "col1,col2,col3"
with open('file.csv','w') as my_csv:
my_csv.write(header+'n')
concerning filling your CSV with data, it will depend on the original data you will use as source.
You can use this to add the header:
header = "col1,col2,col3"
with open('file.csv','w') as my_csv:
my_csv.write(header+'n')
concerning filling your CSV with data, it will depend on the original data you will use as source.
answered Nov 11 at 19:40
Walid Da.
468313
468313
add a comment |
add a comment |
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