How do I write data to pandas as columns
I'm struggling to write list into a CSV file.
So first of all i convert list to pandas dataframe and now truing to save it as columns to a file, but data is being displayed from new line.
Can you please help me figure out what I've missing in my code
lst = ['Name', 'Age', 'City']
df = pd.DataFrame(lst)
df.to_csv('file.csv', mode='a', index=False, header=False)
Expected result: Name, Age, City
python pandas csv dataframe indexing
edited Nov 17 '18 at 10:36
jpp
96k2157109
asked Nov 17 '18 at 10:18
ViktorViktor
268214
add a comment |
I'm struggling to write list into a CSV file.
So first of all i convert list to pandas dataframe and now truing to save it as columns to a file, but data is being displayed from new line.
Can you please help me figure out what I've missing in my code
lst = ['Name', 'Age', 'City']
df = pd.DataFrame(lst)
df.to_csv('file.csv', mode='a', index=False, header=False)
Expected result: Name, Age, City
python pandas csv dataframe indexing
edited Nov 17 '18 at 10:36
jpp
96k2157109
asked Nov 17 '18 at 10:18
ViktorViktor
268214
add a comment |
I'm struggling to write list into a CSV file.
So first of all i convert list to pandas dataframe and now truing to save it as columns to a file, but data is being displayed from new line.
Can you please help me figure out what I've missing in my code
lst = ['Name', 'Age', 'City']
df = pd.DataFrame(lst)
df.to_csv('file.csv', mode='a', index=False, header=False)
Expected result: Name, Age, City
python pandas csv dataframe indexing
edited Nov 17 '18 at 10:36
jpp
96k2157109
asked Nov 17 '18 at 10:18
ViktorViktor
268214
I'm struggling to write list into a CSV file.
So first of all i convert list to pandas dataframe and now truing to save it as columns to a file, but data is being displayed from new line.
Can you please help me figure out what I've missing in my code
lst = ['Name', 'Age', 'City']
df = pd.DataFrame(lst)
df.to_csv('file.csv', mode='a', index=False, header=False)
Expected result: Name, Age, City
python pandas csv dataframe indexing
python pandas csv dataframe indexing
edited Nov 17 '18 at 10:36
jpp
96k2157109
asked Nov 17 '18 at 10:18
ViktorViktor
268214
edited Nov 17 '18 at 10:36
jpp
96k2157109
asked Nov 17 '18 at 10:18
ViktorViktor
268214
edited Nov 17 '18 at 10:36
jpp
96k2157109
edited Nov 17 '18 at 10:36
jpp
96k2157109
edited Nov 17 '18 at 10:36
jpp
96k2157109
96k2157109
asked Nov 17 '18 at 10:18
ViktorViktor
268214
asked Nov 17 '18 at 10:18
ViktorViktor
268214
asked Nov 17 '18 at 10:18
ViktorViktor
268214
268214
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
To save as columns, assign your list as columns:
lst = ['Name', 'Age', 'City']
df = pd.DataFrame(columns=lst)
df.to_csv('file.csv', mode='a', index=False)
If not specified, the first argument to pd.DataFrame is data, so you must assign to columns explicitly.
answered Nov 17 '18 at 10:24
jppjpp
96k2157109
add a comment |
If I understand correctly, you'd just have to add a .T to your line to write the transposed dataframe.
df.T.to_csv('file.csv', mode='a', index=False, header=False)
---^
although if you are using pandas only to write lists as rows to csv files, you'd better have a look at the csv module, because creating intermediary dataframes is pretty pointless.
import csv
lst = ['Name', 'Age', 'City']
with open('file.csv', 'a') as f:
csv.writer(f).writerow(lst)
answered Nov 17 '18 at 10:21
timgebtimgeb
50.5k116392
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
To save as columns, assign your list as columns:
lst = ['Name', 'Age', 'City']
df = pd.DataFrame(columns=lst)
df.to_csv('file.csv', mode='a', index=False)
If not specified, the first argument to pd.DataFrame is data, so you must assign to columns explicitly.
answered Nov 17 '18 at 10:24
jppjpp
96k2157109
add a comment |
To save as columns, assign your list as columns:
lst = ['Name', 'Age', 'City']
df = pd.DataFrame(columns=lst)
df.to_csv('file.csv', mode='a', index=False)
If not specified, the first argument to pd.DataFrame is data, so you must assign to columns explicitly.
answered Nov 17 '18 at 10:24
jppjpp
96k2157109
add a comment |
To save as columns, assign your list as columns:
lst = ['Name', 'Age', 'City']
df = pd.DataFrame(columns=lst)
df.to_csv('file.csv', mode='a', index=False)
If not specified, the first argument to pd.DataFrame is data, so you must assign to columns explicitly.
answered Nov 17 '18 at 10:24
jppjpp
96k2157109
To save as columns, assign your list as columns:
lst = ['Name', 'Age', 'City']
df = pd.DataFrame(columns=lst)
df.to_csv('file.csv', mode='a', index=False)
If not specified, the first argument to pd.DataFrame is data, so you must assign to columns explicitly.
answered Nov 17 '18 at 10:24
jppjpp
96k2157109
answered Nov 17 '18 at 10:24
jppjpp
96k2157109
answered Nov 17 '18 at 10:24
jppjpp
96k2157109
answered Nov 17 '18 at 10:24
jppjpp
96k2157109
96k2157109
add a comment |
add a comment |
If I understand correctly, you'd just have to add a .T to your line to write the transposed dataframe.
df.T.to_csv('file.csv', mode='a', index=False, header=False)
---^
although if you are using pandas only to write lists as rows to csv files, you'd better have a look at the csv module, because creating intermediary dataframes is pretty pointless.
import csv
lst = ['Name', 'Age', 'City']
with open('file.csv', 'a') as f:
csv.writer(f).writerow(lst)
answered Nov 17 '18 at 10:21
timgebtimgeb
50.5k116392
add a comment |
If I understand correctly, you'd just have to add a .T to your line to write the transposed dataframe.
df.T.to_csv('file.csv', mode='a', index=False, header=False)
---^
although if you are using pandas only to write lists as rows to csv files, you'd better have a look at the csv module, because creating intermediary dataframes is pretty pointless.
import csv
lst = ['Name', 'Age', 'City']
with open('file.csv', 'a') as f:
csv.writer(f).writerow(lst)
answered Nov 17 '18 at 10:21
timgebtimgeb
50.5k116392
add a comment |
If I understand correctly, you'd just have to add a .T to your line to write the transposed dataframe.
df.T.to_csv('file.csv', mode='a', index=False, header=False)
---^
although if you are using pandas only to write lists as rows to csv files, you'd better have a look at the csv module, because creating intermediary dataframes is pretty pointless.
import csv
lst = ['Name', 'Age', 'City']
with open('file.csv', 'a') as f:
csv.writer(f).writerow(lst)
answered Nov 17 '18 at 10:21
timgebtimgeb
50.5k116392
If I understand correctly, you'd just have to add a .T to your line to write the transposed dataframe.
df.T.to_csv('file.csv', mode='a', index=False, header=False)
---^
although if you are using pandas only to write lists as rows to csv files, you'd better have a look at the csv module, because creating intermediary dataframes is pretty pointless.
import csv
lst = ['Name', 'Age', 'City']
with open('file.csv', 'a') as f:
csv.writer(f).writerow(lst)
answered Nov 17 '18 at 10:21
timgebtimgeb
50.5k116392
edited Nov 17 '18 at 10:28
answered Nov 17 '18 at 10:21
timgebtimgeb
50.5k116392
answered Nov 17 '18 at 10:21
timgebtimgeb
50.5k116392
answered Nov 17 '18 at 10:21
timgebtimgeb
50.5k116392
50.5k116392
add a comment |
add a comment |
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