with open('document.csv','a') as fd:
fd.write(myCsvRow)
Opening a file with the 'a' parameter allows you to append to the end of the file instead of simply overwriting the existing content. Try that.
with open('document.csv','a') as fd:
fd.write(myCsvRow)
Opening a file with the 'a' parameter allows you to append to the end of the file instead of simply overwriting the existing content. Try that.
I prefer this solution using the csv module from the standard library and the with statement to avoid leaving the file open.
The key point is using 'a' for appending when you open the file.
import csv
fields=['first','second','third']
with open(r'name', 'a') as f:
writer = csv.writer(f)
writer.writerow(fields)
If you are using Python 2.7 you may experience superfluous new lines in Windows. You can try to avoid them using 'ab' instead of 'a' this will, however, cause you TypeError: a bytes-like object is required, not 'str' in python and CSV in Python 3.6. Adding the newline='', as Natacha suggests, will cause you a backward incompatibility between Python 2 and 3.
How to append values to specific columns and rows in csv?
python - Is there a way to append rows to an existing csv file while retaining the colors of rows? - Stack Overflow
python - How to add pandas data to an existing csv file? - Stack Overflow
python - Appending data to existing CSV file by columns/rows - Stack Overflow
hey, everyone good day! (I'm very new to this coding stuff)
I was writing a simple program and this program needs to append new data from users to the existing csv file so I wrote this function.
def append_list_as_row(file_name, list_of_elem):
with open(file_name, 'a+', newline='') as write_obj:
csv_writer = writer(write_obj)
csv_writer.writerow(list_of_elem)this just works fine until the last element from the csv file is 0.
let's say we have [Robert][19][male][173] this kind of data in excel. and this works just fine with the function. but when it's like [Robert][19][male][0], the next appended data will not generate a new row and will continue adding data in the current row and replacing 0 to the first data element from the user.
I hope you guys understand my English...welp, anyways I want this function to work seemly whether the last element is 0 or not. I've been searching the internet for quite a long but I was not able to find the answer. is there any kind soul who can help me?
Hello, so I am rather confused with how to take some values that are produced by a python script and then append them to a specific location in a csv file. I initially thought this would be a really simple task with plenty of tutorials online, but most examples I have found seem to overcomplicate things with fancy shortcuts and workarounds, which have just left me confused. Here is what I am trying to do:
I have this .csv file that looks like this containing just this one row intended to be the headers:
Parameter_1 Parameter_2 Parameter_3 Value_1 Value_2
I then have the following python code:
parameters = ['p1_5_p2_4_p3_2', 'p1_3_p2_8_p3_3', 'p1_4_p2_3_p3_6']
Blue = [5, 4, 3]
for parameter in parameters:
for x in Blue:
y = x + 1
z = x + 2
print(parameter)
print(y)
print(z)
print('') And then I am returned the following (sorry this goes on for so long!):
p1_5_p2_4_p3_2 6 7 p1_5_p2_4_p3_2 5 6 p1_5_p2_4_p3_2 4 5 p1_3_p2_8_p3_3 6 7 p1_3_p2_8_p3_3 5 6 p1_3_p2_8_p3_3 4 5 p1_4_p2_3_p3_6 6 7 p1_4_p2_3_p3_6 5 6 p1_4_p2_3_p3_6 4 5
where "p" refers to "parameter", and so "p1_5" means "parameter value of 5", etc.
And so I want to append these results to my csv file, so that it looks like this:
Parameter_1 Parameter_2 Parameter_3 Value_1 Value_2
5 4 2 6 7
5 4 2 5 6
5 4 2 4 5
3 8 3 6 7
3 8 3 5 6
3 8 3 4 5
4 3 6 6 7
4 3 6 5 6
4 3 6 4 5Is there a simple way to do this in python? I am very confused about how to transpose the results as a row, and then make sure they are sorted under the correct column. I would appreciate any guidance on this! Thank you!
The previous answers cover merging csv. Your question however was about coloring information which probably got ignored up to now, since it makes no sense. If you are hung up on coloring - you need a different format than csv. csv does not include any formatting information: font, color, width of columns, height of rows, etc none of that is part of a normal csv.
If you wish to append a new row into a CSV file in Python, you can use any of the following methods.
Assign the desired row’s data into a List. Then, append this List’s data to the CSV file using writer.writerow(). Assign the desired row’s data into a Dictionary. Then, append this dictionary’s data to the CSV file using DictWriter.writerow().
You can specify a python write mode in the pandas to_csv function. For append it is 'a'.
In your case:
df.to_csv('my_csv.csv', mode='a', header=False)
The default mode is 'w'.
If the file initially might be missing, you can make sure the header is printed at the first write using this variation:
output_path='my_csv.csv'
df.to_csv(output_path, mode='a', header=not os.path.exists(output_path))
You can append to a csv by opening the file in append mode:
with open('my_csv.csv', 'a') as f:
df.to_csv(f, header=False)
If this was your csv, foo.csv:
,A,B,C
0,1,2,3
1,4,5,6
If you read that and then append, for example, df + 6:
In [1]: df = pd.read_csv('foo.csv', index_col=0)
In [2]: df
Out[2]:
A B C
0 1 2 3
1 4 5 6
In [3]: df + 6
Out[3]:
A B C
0 7 8 9
1 10 11 12
In [4]: with open('foo.csv', 'a') as f:
(df + 6).to_csv(f, header=False)
foo.csv becomes:
,A,B,C
0,1,2,3
1,4,5,6
0,7,8,9
1,10,11,12