Hi all,
I have a csv OLAP dataset that I want to extract the domain hierarchies
from each of its dimensions.
Anybody could recommend a Python tool that could manage this properly?
Thanks
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On 17/01/22 4:18 am, Mats Wichmann wrote:
the convention for Excel, which is usually the reason
people are using csv, is you can enclose the entire comma-containing
field in "quote marks" (afaik it must be double-quote).
And to include a double quote in a field, quote the field and
On 1/15/22 13:56, Mahmood Naderan via Python-list wrote:
> Hi,
> I use the following line to write some information to a CSV file which is
> comma delimited.
>
> f = open(output_file, 'w', newline='')
> wr = csv.writer(f)
> ...
> f.write(str(n) + &qu
Mahmood,
Ask yourself WHY you want to do what you are doing. Are you using the power and
features of the language or trying to do it step by step in the way that
earlier languages often made you do it?
Yes, there are ways to include commas in fields of a CSV file and they can lead
to
lowing line to write some information to a CSV file which
> is comma delimited.
>
> f = open(output_file, 'w', newline='')
> wr = csv.writer(f)
> ...
> f.write(str(n) + "," + str(key) + "\n" )
>
>
> Problem is that key is a strin
On Sat, 15 Jan 2022 20:56:22 + (UTC), Mahmood Naderan wrote:
> Hi,
> I use the following line to write some information to a CSV file which
> is comma delimited.
>
> f = open(output_file, 'w', newline='')
> wr = csv.writer(f)
> ...
> f.write(str(
On 16/01/2022 09.56, Mahmood Naderan via Python-list wrote:
> Hi,
> I use the following line to write some information to a CSV file which is
> comma delimited.
>
> f = open(output_file, 'w', newline='')
> wr = csv.writer(f)
> ...
> f.write(str(n)
Hi,
I use the following line to write some information to a CSV file which is comma
delimited.
f = open(output_file, 'w', newline='')
wr = csv.writer(f)
...
f.write(str(n) + "," + str(key) + "\n" )
Problem is that key is a string which may contain &#
On 14/12/21 7:07 am, MRAB wrote:
It's difficult to say what the problem is when you haven't given us the
code!
Note: Attachments do not make it to this list.
You will need to insert the code into the message as text.
--
Greg
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On 2021-12-12 23:37, Larry Warner wrote:
Win 10, Chrome, Python 3.10.1
New at python
error on open statement
Probably simple error but I do not see it.
The program is a python example with the file name being changed. I want
to experiment with changing the literal file name in the open stateme
On Tue, Dec 14, 2021 at 12:05 AM Larry Warner wrote:
>
> Win 10, Chrome, Python 3.10.1
> New at python
> error on open statement
>
> Probably simple error but I do not see it.
>
> The program is a python example with the file name being changed. I want
> to experiment with changing the literal fi
Win 10, Chrome, Python 3.10.1
New at python
error on open statement
Probably simple error but I do not see it.
The program is a python example with the file name being changed. I want
to experiment with changing the literal file name in the open statement to
a variable name later.
Larry
--
htt
pe 6. elok. 2021 klo 19.15 MRAB (pyt...@mrabarnett.plus.com) kirjoitti:
> On 2021-08-06 16:50, Suretha Weweje wrote:
> > I am trying to upload a CSV file with flask, read and process one line
> at a
> > time while iterating through all rows of the file and write the results
>
On 2021-08-06 16:50, Suretha Weweje wrote:
I am trying to upload a CSV file with flask, read and process one line at a
time while iterating through all rows of the file and write the results
back to a new CSV file. My python script produces the correct results on
its own, but I am not able to
I am trying to upload a CSV file with flask, read and process one line at a
time while iterating through all rows of the file and write the results
back to a new CSV file. My python script produces the correct results on
its own, but I am not able to get the same results when using Flask. I am
On 16/03/2021 16:15, The Cool Life wrote:
> Try importing the CSV module. That might help!
And for the removal of doubt it is spelled csv 9lower case)
And it looks like you want to read about the DictReader
class within it.
The csv module docs include several examples.
--
Alan G
Author of
Try importing the CSV module. That might help!
> On Mar 16, 2021, at 6:27 AM, Gys wrote:
>
> On 3/12/21 11:28 AM, Johann Klammer wrote:
>> Specifically ones with quoted strings. I'll have whitespace in
>> there and possibly escaped quotechars.
>> maybe n
The best answer is to use the CSV library, but there are wrappers around it.
For example, I use a wrapper of my own creation (csv_common.py) @
https://github.com/bschollnick/bas_Utilities
<https://github.com/bschollnick/bas_Utilities>.
The main benefit is that I can create variant CSV’s b
gnment, so there'll
be whitespaces outside the strings(more than one)
...therefore, csv.DictReader() won't work.
I'd like them read into a dict or something..
Hi Johann Klammer,
I use Pandas for handling *.csv files
pandas documentation :
<https://pandas.pydata.org/pandas-docs/
On 2020-11-30 03:59, Jason Friedman wrote:
csv.DictReader appears to be happy with a list of strings representing
the lines.
Try this:
contents = source_file.content()
for row in csv.DictReader(contents.decode('utf-8').splitlines()):
print(row)
Works great, thank you! Question ... wil
>
> csv.DictReader appears to be happy with a list of strings representing
> the lines.
>
> Try this:
>
> contents = source_file.content()
>
> for row in csv.DictReader(contents.decode('utf-8').splitlines()):
> print(row)
>
Works great, thank you! Question ... will this form potentially use l
On 2020-11-30 01:31, Jason Friedman wrote:
Using the Box API:
print(source_file.content())
returns
b'First Name,Last Name,Email Address,Company,Position,Connected
On\nPeter,van
(and more data, not pasted here)
Trying to read it via:
with io.TextIOWrapper(source_file.content(), encoding=
Using the Box API:
print(source_file.content())
returns
b'First Name,Last Name,Email Address,Company,Position,Connected
On\nPeter,van
(and more data, not pasted here)
Trying to read it via:
with io.TextIOWrapper(source_file.content(), encoding='utf-8') as text_file:
reader = csv.DictRead
Hi all
I hope all are doing well
please help me how to convert CSV to NetCDF. Im trying but its not working
#!/usr/bin/env ipython
import pandas as pd
import numpy as np
import netCDF4
import pandas as pd
import xarray as xr
stn_precip='ts_sept.csv'
orig_precip='ts_sep
Thanks, between this message and the one below I was able to understand my
error and fix it. I really appreciate the help.
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On Mon, 25 May 2020 19:25:08 +0100
MRAB wrote:
> On 2020-05-25 19:00, Ciarán Hudson wrote:
> > Hi,
> >
> > In the code below, which is an exercise I'm doing in class
> > inheritance, almost everything is working except outputting my
> > results, which
xcept outputting my results, which as the
>> function stock_count, to a csv.
>> stock_count is working in the code.
>> And I'm able to open and close the csv called cars, but the stock_count
>> output is not being written to the file.
>> Any suggestions?
> [snip]
&
On 2020-05-25 19:00, Ciarán Hudson wrote:
Hi,
In the code below, which is an exercise I'm doing in class inheritance, almost
everything is working except outputting my results, which as the function
stock_count, to a csv.
stock_count is working in the code.
And I'm able to open and
Hi,
In the code below, which is an exercise I'm doing in class inheritance, almost
everything is working except outputting my results, which as the function
stock_count, to a csv.
stock_count is working in the code.
And I'm able to open and close the csv called cars, but the stock_co
This has helped a lot; cleaner output, keeping tbl format and creating a csv
but the csv is not being populated.
Any idea what I am doing wrong?
import requests
import csv, sys
from bs4 import BeautifulSoup
cookies = {
'ApplicationGatewayAff
Ciarán Hudson wrote:
> This has helped a lot; cleaner output, keeping tbl format and creating a
> csv but the csv is not being populated. Any idea what I am doing wrong?
> writer = csv.writer(sys.stdout)
> writer.writerow([
> 'Arriving From'
> 'Air
Ciarán Hudson wrote:
> How do I edit the code below to create a csv file which includes the
> information I have printed at the bottom?
>
> I'm pulling arrival data from an airport website and printing out only the
> flight info. I want to save that flight info to a CSV fil
How do I edit the code below to create a csv file which includes the
information I have printed at the bottom?
I'm pulling arrival data from an airport website and printing out only the
flight info. I want to save that flight info to a CSV file.
import requests
from bs4 import Beautifu
@peter Otten thanks
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Rahul Gupta wrote:
> consider the following code
> import csv
> import numpy as np
>
> with open("D:\PHD\obranking\\demo.csv", mode='r') as csv_file1,
> open("D:\PHD\obranking\\demo.csv", mode='r') as csv_file2:
> csv_reader1 =
consider the following code
import csv
import numpy as np
with open("D:\PHD\obranking\\demo.csv", mode='r') as csv_file1,
open("D:\PHD\obranking\\demo.csv", mode='r') as csv_file2:
csv_reader1 = csv.DictReader(csv_file1)
csv_reader2 =
1: Does the code run to completion without errors?
If there's an exception then the data may not get to the file because
I/O is normally buffered in memory and written out in larger chunks
as the buffer fills i.e. at a time later than your .writerow() call.
2: If you delete the CSV
FOLLWOING IS MY CODE
import pandas as pd
import csv
from sklearn.preprocessing import LabelEncoder
from sklearn.feature_selection import chi2
with open("D:\PHD\obranking\\test_chi.csv", 'w') as csvfilew1:
fields = ['index', 'feature name', 'p_valu
On 15 Apr 2020 10:28, Peter Otten <__pete...@web.de> wrote:
sjeik_ap...@hotmail.com wrote:
> On 12 Apr 2020 12:30, Peter Otten <__pete...@web.de> wrote:
>
> Rahul Gupta wrote:
>
> >for line in enumerate(csv_reader):
> >print(line[csv_reader.
sjeik_ap...@hotmail.com wrote:
>On 12 Apr 2020 12:30, Peter Otten <__pete...@web.de> wrote:
>
> Rahul Gupta wrote:
>
> >for line in enumerate(csv_reader):
> >print(line[csv_reader.fieldnames[1]])
>
> enumerate() generates (index, line) tuples that you need to unpack:
>
On Tue, 14 Apr 2020 at 12:42, Rahul Gupta wrote:
>
> Hello all, i have a csv of 1 gb which consists of 25000 columns and 2
> rows. I want to apply pca so i have seen sciki-learn had inbuilt
> fucntionality to use that. But i have seen to do eo you have to load data in
> dat
On 12 Apr 2020 12:30, Peter Otten <__pete...@web.de> wrote:
Rahul Gupta wrote:
> for line in enumerate(csv_reader):
> print(line[csv_reader.fieldnames[1]])
enumerate() generates (index, line) tuples that you need to unpack:
for index, line in enumerat
64 bit version
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On Tue, Apr 14, 2020 at 9:41 PM Rahul Gupta wrote:
>
> Hello all, i have a csv of 1 gb which consists of 25000 columns and 2
> rows. I want to apply pca so i have seen sciki-learn had inbuilt
> fucntionality to use that. But i have seen to do eo you have to load data in
>
Hello all, i have a csv of 1 gb which consists of 25000 columns and 2 rows.
I want to apply pca so i have seen sciki-learn had inbuilt fucntionality to use
that. But i have seen to do eo you have to load data in data frame. But my
machine is i5 with 8 gb of ram which fails to load all this
@Peter Thanks alot
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Rahul Gupta wrote:
> for line in enumerate(csv_reader):
> print(line[csv_reader.fieldnames[1]])
enumerate() generates (index, line) tuples that you need to unpack:
for index, line in enumerate(csv_reader):
print(line[csv_reader.fieldnames[1]])
If you want to keep track o
import csv
import numpy as np
with open("D:\PHD\obranking\\cell_split_demo.csv", mode='r') as csv_file:
csv_reader = csv.DictReader(csv_file)
print(csv_reader.fieldnames)
col_count = print(len(csv_reader.fieldnames))
#print(sum(1 for row in csv_file
Rahul Gupta wrote:
> On Sunday, April 12, 2020 at 1:35:10 PM UTC+5:30, Rahul Gupta wrote:
>> the cells in my csv that i wrote looks likes this
>>
['82#201#426#553#602#621#811#908#1289#1342#1401#1472#1593#1641#1794#2290#2341#2391#3023#3141#3227#3240#3525#3529#3690#3881#4406
On Sunday, April 12, 2020 at 1:35:10 PM UTC+5:30, Rahul Gupta wrote:
> the cells in my csv that i wrote looks likes this
> ['82#201#426#553#602#621#811#908#1289#1342#1401#1472#1593#1641#1794#2290#2341#2391#3023#3141#3227#3240#3525#3529#3690#3881#4406#4421#4497#4719#4722#4920#505
Rahul Gupta wrote:
> the cells in my csv that i wrote looks likes this
>
['82#201#426#553#602#621#811#908#1289#1342#1401#1472#1593#1641#1794#2290#2341#2391#3023#3141#3227#3240#3525#3529#3690#3881#4406#4421#4497#4719#4722#4920#5053#5146#5433']
> and the cells which are empt
the cells in my csv that i wrote looks likes this
['82#201#426#553#602#621#811#908#1289#1342#1401#1472#1593#1641#1794#2290#2341#2391#3023#3141#3227#3240#3525#3529#3690#3881#4406#4421#4497#4719#4722#4920#5053#5146#5433']
and the cells which are empty looks like ['']
i have trie
On 18/11/19 9:30 am, Dave Cinege wrote:
The few times I looked at CSV module it never looked useful to me. I
seem to use shlex for everything. For example:
def csv_split (s):
lex = shlex.shlex(s, posix=True)
lex.whitespace_split = True
lex.whitespace = ','
retur
The few times I looked at CSV module it never looked useful to me. I
seem to use shlex for everything. For example:
def csv_split (s):
lex = shlex.shlex(s, posix=True)
lex.whitespace_split = True
lex.whitespace = ','
return list(lex)
will split on co
On Sun, Nov 17, 2019 at 7:23 AM Antoon Pardon
wrote:
>
> This is python 2.6->2.7 and 3.5->3.7
>
> I need to convert a string that is a csv line to a list and vice versa.
> I thought to find functions doing this in the csv module but that doesn't
> seem to be the c
On 11/17/19 7:18 AM, Antoon Pardon wrote:
This is python 2.6->2.7 and 3.5->3.7
I need to convert a string that is a csv line to a list and vice versa.
I thought to find functions doing this in the csv module but that doesn't
seem to be the case.
I can of course write special classes
This is python 2.6->2.7 and 3.5->3.7
I need to convert a string that is a csv line to a list and vice versa.
I thought to find functions doing this in the csv module but that doesn't
seem to be the case.
I can of course write special classes that would allow for this using
a csv
Skip Montanaro writes:
> How about just replacing *\(([^)]*)\)* with *"\1"* in a wrapper class's
> line reading method? (I think I have the re syntax approximately right.)
> The csv reader will "just work". Again, nesting parens not allowed.
>
> Skip
> Besides, the point isn't the shortest code but to illustrate the idea
> of handling special syntax.
In my defense, I was typing on my phone while watching a show on
Netflix. I was hardly in a position to test any code. :-)
As you indicated though, the problem is under-specified (nesting?,
pres
complete
:-)
Also, that would match FOO(TEST1,TEST2)BAH as well (making
FOO"(TEST1,TEST2)"BAH. Which might be wanted, or be not wanted or be
bad data (including but not restricted to csv module unparsable data).
I was deliberately being very conservative and kind of treating brackets
How about just replacing *\(([^)]*)\)* with *"\1"* in a wrapper class's
line reading method? (I think I have the re syntax approximately right.)
The csv reader will "just work". Again, nesting parens not allowed.
Skip
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On 2019-09-25 00:09, Cameron Simpson wrote:
On 24Sep2019 15:55, Mihir Kothari wrote:
I am using python 3.4. I have a CSV file as below:
ABC,PQR,(TEST1,TEST2)
FQW,RTE,MDE
Really? No quotes around the (TEST1,TEST2) column value? I would have
said this is invalid data, but that does not help
On 24Sep2019 15:55, Mihir Kothari wrote:
I am using python 3.4. I have a CSV file as below:
ABC,PQR,(TEST1,TEST2)
FQW,RTE,MDE
Really? No quotes around the (TEST1,TEST2) column value? I would have
said this is invalid data, but that does not help you.
Basically comma-separated rows, where
Hi Team,
I am using python 3.4. I have a CSV file as below:
ABC,PQR,(TEST1,TEST2)
FQW,RTE,MDE
Basically comma-separated rows, where some rows have a data in column which
is array like i.e. in brackets.
So I need to read the file and treat such columns as one i.e. do not
separate based on comma
Sharan Basappa writes:
>>
>> Note that the commas are within the quotes. I'd say Andrea is correct:
>> This is a tab-separated file, not a comma-separated file. But for some
>> reason all fields except the last end with a comma.
>>
However, genfromtxt is not
Sharan Basappa wrote:
Now, if you see the print after getting the data, it looks like this:
##
[['"\t"81' '"\t5c']
['"\t"04' '"\t11']
['"\t"e1' '"\t17']
['"\t"6a' '"\t6c']
['"\t"53' '"\t69']
['"\t"98' '"\t87']
['"\t"5c' '"\t4b']
#
gt; > > As you can see, the string "\t"81 is causing the error.
> > > > It seems to be due to char "\t".
> > >
> > > It is not clear what format do you expect to be in the file.
> > > You say "it is CSV" so your actual paylo
It seems to be due to char "\t".
> >
> > It is not clear what format do you expect to be in the file.
> > You say "it is CSV" so your actual payload seems to be a pair of three
> > bytes (a tab and two hex digits in ASCII) per line.
>
> The
ee, the string "\t"81 is causing the error.
> > It seems to be due to char "\t".
>
> It is not clear what format do you expect to be in the file.
> You say "it is CSV" so your actual payload seems to be a pair of three
> bytes (a tab and two hex digits i
not clear what format do you expect to be in the file.
You say "it is CSV" so your actual payload seems to be a pair of three
bytes (a tab and two hex digits in ASCII) per line.
Can you paste a hexdump of the first three lines of the input file and
say what you expect to get once
On Saturday, 7 September 2019 21:18:11 UTC-4, MRAB wrote:
> On 2019-09-08 01:19, Sharan Basappa wrote:
> > I am trying to read a log file that is in CSV format.
> >
> > The code snippet is below:
> >
> > ###
> > import matplot
On 2019-09-08 01:19, Sharan Basappa wrote:
I am trying to read a log file that is in CSV format.
The code snippet is below:
###
import matplotlib.pyplot as plt
import seaborn as sns; sns.set()
import numpy as np
import pandas as pd
import os
import csv
from numpy
On Sat, Sep 7, 2019 at 8:28 PM Joel Goldstick wrote:
>
> On Sat, Sep 7, 2019 at 8:21 PM Sharan Basappa
> wrote:
> >
> > I am trying to read a log file that is in CSV format.
> >
> > The code snippet is below:
> >
> > ###
&
On Sat, Sep 7, 2019 at 8:21 PM Sharan Basappa wrote:
>
> I am trying to read a log file that is in CSV format.
>
> The code snippet is below:
>
> ###
> import matplotlib.pyplot as plt
> import seaborn as sns; sns.set()
> import numpy
I am trying to read a log file that is in CSV format.
The code snippet is below:
###
import matplotlib.pyplot as plt
import seaborn as sns; sns.set()
import numpy as np
import pandas as pd
import os
import csv
from numpy import genfromtxt
# read the CSV and get into
er import into excel).
>
> ###A script to list pdf files in a folder
> ###gisdude 02/09/19
> ###
> import os, sys, glob, csv, pathlib
>
> ###First, let's change the dir with os
>
> os.chdir("C:\\Users\\Randy\\Documents\\BOOKS")
I have come to the conclusion th
t pdf files in a folder
###gisdude 02/09/19
###
import os, sys, glob, csv, pathlib
###First, let's change the dir with os
os.chdir("C:\\Users\\Randy\\Documents\\BOOKS")
###Second, let's now get the list of files in this directory
files = glob.glob('*.pdf')
for file in
Den 2018-11-19 skrev Martin Schöön :
> I spoke too early. Upon closer inspection I get the first column with
> decimal '.' and the rest with decimal ','. I have tried the converter
> thing to no avail :-(
>
Problem solved!
This morning I woke up with the idea of testing if all this fuss may
be cau
n 'scientific' (xx,xxxe-xx) notation.
>>>
>>
>> Martin, I believe this should be done by pandas itself while reading
>> the csv file,
>> I took an example in scientific notation and checked this out,
>>
>> my sample.csv file is,
>> col1,col2
>> 1.1,0
On 2018-11-19 20:44, Martin Schöön wrote:
Too many files to go through them with an editor :-(
If only Python could read and write files... :-)
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On 2018-11-19 21:32, Martin Schöön wrote:
Den 2018-11-19 skrev Martin Schöön :
Den 2018-11-19 skrev Peter Otten <__pete...@web.de>:
The engine="python" produces an exception over here:
"""
ValueError: The 'decimal' option is not supported with the 'python' engine
"""
Maybe you can try and om
Den 2018-11-19 skrev Martin Schöön :
> Den 2018-11-19 skrev Peter Otten <__pete...@web.de>:
>>
>> The engine="python" produces an exception over here:
>>
>> """
>> ValueError: The 'decimal' option is not supported with the 'python' engine
>> """
>>
>> Maybe you can try and omit that option?
>
> Bin
Den 2018-11-19 skrev Peter Otten <__pete...@web.de>:
> Martin Schöön wrote:
>
>> My pandas is up to date.
>>
>
> The engine="python" produces an exception over here:
>
> """
> ValueError: The 'decimal' option is not supported with the 'python' engine
> """
>
> Maybe you can try and omit that optio
Too many files to go through them with an editor :-(
/Martin
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On Tue, Nov 20, 2018 at 7:46 AM Martin Schöön wrote:
> Thanks, I just tried this. The line locale.setlocale... throws an
> error:
>
> "locale.Error: unsupported locale setting"
>
> Trying other ideas instead of 'de' results in more of the same.
> '' results in no errors.
Haven't been reading in d
ort sys
> import pandas
> import locale
> print( sys.version )
> print( pandas.__version__ )
> with open( 'schoon20181118232102.csv', 'w' ) as file:
> print( 'col0\tcol1', file=file, flush=True )
> print( '1,1\t0', file=file, flush=Tr
Martin Schöön wrote:
> My pandas is up to date.
>
> In your example you use the US convention of using "." for decimals
> and "," to separate data. This works perfect for me too.
>
> However, my data files use European conventions: decimal "," and TAB
> to separate data:
>
> col1 col2
> 1,1
n (xxx,xx) but in 'scientific' (xx,xxxe-xx) notation.
> >>
> >
> > Martin, I believe this should be done by pandas itself while reading
> > the csv file,
> > I took an example in scientific notation and checked this out,
> >
> > my sample.csv
elieve this should be done by pandas itself while reading
> the csv file,
> I took an example in scientific notation and checked this out,
>
> my sample.csv file is,
> col1,col2
> 1.1,0
> 10.24e-05,1
> 9.492e-10,2
>
That was a quick answer!
My pandas is up to date.
I
On Sun, 18 Nov 2018 at 18:18, Martin Schöön wrote:
>
> I am in this project where I try to get an overview of a bunch of
> computer generated (finite element program) data. I have it stored in a
> number of csv files.
>
> Reading the data into spreadsheet programs works fine
I am in this project where I try to get an overview of a bunch of
computer generated (finite element program) data. I have it stored in a
number of csv files.
Reading the data into spreadsheet programs works fine but is very labour
intensive so I am working with Pandas in Jupyter notebooks which
Thanks a lot, I've managed to make it work they way I wanted
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On 07/09/18 13:55, catanaang...@gmail.com wrote:
HI! I need help putting the output from terminal in a csv file. I work on linux
and I have python 2.7.15. I am running a python program which also runs some
shell scripts.
I need to capture the output from the .sh scripts and put it nicely in a
Please study the following to get you started. It looks like JSON output that
you are dealing,
which is good. I added a ", to the "body"-line, because I assume that you
botched that when giving
an example.
```python
#!/usr/bin/env python
import json
output = '''
{
"error" : {
"body"
HI! I need help putting the output from terminal in a csv file. I work on linux
and I have python 2.7.15. I am running a python program which also runs some
shell scripts.
I need to capture the output from the .sh scripts and put it nicely in a csv
table. I am using "commands.getoutput(
On Saturday, September 1, 2018 at 9:19:29 PM UTC+3, alon@gmail.com wrote:
> how to get a value from CSV specific cell (A7) thanks
thanks all !
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alon.naj...@gmail.com wrote:
> how to get a value from CSV specific cell (A7) thanks
$ cat csv_sheet.py
#!/usr/bin/python3
import re
import csv
import string
LOOKUP = {c: i for i, c in enumerate(string.ascii_uppercase, 1)}
def a2i(s):
"""
>>>
HI,
CSV has no cells, but you can use csv module from standard lib
https://docs.python.org/3/library/csv.html
and you can get 7th data from the first row (as A means the first row)
__george__
ezt írta (időpont: 2018. szept. 1., Szo, 20:24):
> how to get a value from CSV specific cell
how to get a value from CSV specific cell (A7) thanks
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On Tuesday, May 22, 2018 at 3:55:58 PM UTC+5:30, Peter Otten wrote:
>
>
> > lst2=lst1[:4]
> > with open("my_csv.csv","wb") as f:
> > writer = csv.writer(f)
> > writer.writerows(lst2)
> >
> > Here it is writing only the first four lists.
>
> Hint: look at the first line
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