Hello,
I was wondering if someone could provide me with the pattern syntax to find
the time in a given string. The time usually appears as "14:28:32" (for
example) within a string ("Sun Jan 23 14:28:32 1965"). How can I retrieve the
time?
Thank you very much in advance for your help,
Judi
Hello,
I can't seem to figure out the syntax to calculate the difference in minutes
between two time stamps. I already read the documentation about datetime and
time modules, but I was unable to implement the code.
My code will be fed with two timestamps (as styrings):
start="09:35:23"
end
Hello,
I am very new to Python and I have long R scripts that I would like to run
under the Python Interpreter. The reason for this is because I will try to
construct a GUI using 'easygui' in Python. I read some of the the documentation
regarding the RPy module, but it implies to add a 'r' a
Hello,
A couple of weeks ago I posted a question about what documentation I should
read in order to implement a way to communicate Python and R. I read about the
module 'subprocess', but have not been able to do something very simple. I was
wondering if you could tell me how to transfer a Py
Dear Python community,
I have been trying to create a dictionary of dictionaries (and more
dictionaries) from a csv file. The csv file contains longitudinal data
corresponding to names. The following is just a very (very) simple example of
how the data looks:
NameDayweighttemp
name114537
na
Hello,
I have been struggling a while trying to figure out how to modify a csv file
using the csv.DictWriter class. Let's suppose I have the following code:
import csv
outfile=open('template.csv','w') # This is a pre-existing file that
contains 3 variables (3 columns). The variables will
Hello dear Python experts,
How can I write a complete string (which sometimes will include many commas) to
a cell in a CSV file? With the code below, what I obtain is a cell per letter
of every string:
file1=open('myfile.csv','w')
writer=csv.writer(file1)
mylist=[ " first , txt+words , more"
Hello,
I get the error message above quite often when trying to open some csv
files. I noticed that if I open the csv file in excel and delete the "empty"
columns at the right end of my data, the error message doesn't appear.
My code looks like this:
myfile=open(csvfile)
reader=csv.reader(m
