Hi All--
I posted this question to another group but have not gotten any input.
I needed to install cvxopt on a 64 bit W7. I found out that cvxopt is
incompatible with a 64 bit. It only compatible with a 32 bit which can
be installed
on a 64 bit computer and it works. I stumbled on this on ano
Thank you Alan and Michael for your input. Alan was right on what happened;
that’s my mistake was that I used IDEL instead of CMD to install cvx. Once
I used CMD all went well. I am hoping that cvx will work now w/o any issue.
I used it on matlab.
I am an experienced numerical programmer but new
Hi All--
I have a 2D array (2000, 4); an example is given abelow. On the 1st column
I have 15 variables, on the 2nd 4 variables. Ignore column 3 for now. I
want a code that generate 4 arrays for each variable on the 1st column;
each array contains all the values from column 4. Then I want to fi
Thank you all for your help. I am a decent programmer in another language
but new to Python and I have some issues with a project I am working on.
Some suggested using pandas but I am barley starting on Numpy. The
suggestions were very helpful, however, I decided to replace the 2D array
with severa
'19' 'A4' 'B2' '2']
['19' 'A5' 'B1' '12']
['18' 'A5' 'B2' '121']]
Thanks in advance
EK Esawi
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Thanks for the input. Columns 2 and 3 are strings and i assume that they
don't need to be converted. Because all i need is to compute the mean for
data on column 4 based on each variable in column 1 and each in column 2..
BTW, is it possible to send you what i did off list? That way you see what
i
. Thank you all for your continuous help and dedication to this great
siteEKE
++ Code++
import numpy as np
import csv
DataMat=[]
np.set_printoptions(precision=2)
with open('c:/Users/EK Esawi/My Documents/Python Scripts/TestFile1.csv') as
Test1:
reader = csv.reader(Test1,
Sorry! but it's a csv file. I just copied it directly from an opened csv
file in excel. And you're correct it looks like what you wrote. EKE
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Here is the file.
AA,BB,CC,DD,EE
1,A1,B1,11.2,11/20/2011
2,A2,B2,2.5,10/21/2011
3,A3,B3,13.67,9/21/2011
4,A4,B4,14.2,8/22/2011
5,A5,B5,20,7/23/2011
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Sorry for the mishap. There are no blank lines on the file. I just did not
delete the blank lines when i copied and pasted. Here it's again. EK
*AA,BB,CC,DD,EE*
*1,A1,B1,11.2,11/20/2011*
*2,A2,B2,2.5,10/21/2011*
*3,A3,B3,13.67,9/21/2011*
*4,A4,B4,14.2,8/22/2011*
*5,A5,B5,20,7/23/2011*
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Ops..here is the text file.; previously i copied and pasted from either
Word or Excel.
AA,BB,CC,DD,EE
1,A1,B1,11.2,11/20/2011
2,A2,B2,2.5,10/21/2011
3,A3,B3,13.67,9/21/2011
4,A4,B4,14.2,8/22/2011
5,A5,B5,20,7/23/2011
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Thank you SO MUCH Oscar and others. This is exactly what i wanted to get. I
think i can take it form here. I spent hours looking at different ways to
figure it out and i came close. I tried numpy.genfromtxt, numpy.loadtext,
json, etc.
I am at the moment learning how to open various data files with
Hi All
I have a code that reads a csv file via DictReader. I ran into a peculiar
problem. The python interpreter ignores the 2nd code. That is if I put the
reader iterator 1st, like the code below, the enumerate code is ignored; if
I put the enumerate code 1st, the reader code is ignored. I am
Thank you all. The only reason i tried both ways is to experiment with
Python. They made sense to me and thought why not try them both. And i am
relatively new to Python.
Thanks again--EKE
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Hi all—
I normally need to convert csv and text files to a Numpy array. I tried to
do the same thing using (1) reader=DictReader(MyFile), (2)
reader=csv.readre(MyFile), or (3) genfromtxt (MyFile ,……). The first two
is after I open the file. They produce a list of lists, list of tuples or
list o
Thanks Danny! I realized that I should not be concerned with
speed/efficiency since I am a beginner in python and giving the data I work
with, speed is not that important now.
I am learning how to read files via several ways and transform them to
numpy arrays. I just thought genfromtxt provides m
I am not sure of the level of your students but computing the Jacobin and
directional derivative where they can use both calculus and linear algebra;
numerical differentiation and integration would be another topic. There are
several books with nice numerical recipes that can be programmed using
py
I am using genfromtxt to read a csv file with data types that include
string, float, integer, date, and time. I was able to accomplish such a
task using reader.
I thought there might be easier ways and the one I thought about is
genfromtxt. I have 2 questions: (1) Is there a function (method) to
Hi All—
I used genfromtxt to read a file with multiple data types. The result was a
1D array of tuples; for example
[(1, 2, 3), (‘a’, b’, ’c’), (‘12/12/2009’, ’2/4/2014’, ‘3/4/200)’]
I am trying to convert this structured array to a 2D array. Is this
possible where the data types in the 1D a
Thanks for the input. I tried your idea but i did not work; l got 1D array
of tuples; the same as the original array. I think b/c genfromtxt creates
an array and so it's already an array object-if i understand it correctly.
Your idea works well for a list which i tested but i want to an n x n 2D
ar
The result i am looking for is a 2D array (matrix) instead of 1D array
of tuples. That's when i read a file using genfromtxt, it generated a 1D
array of n tuples (like the example shown below); each tuple has one row
from the original file. The file contains multiple data types and so i used
genfro
Thanks Peter. It works now. I am trying to be creative but i am still
getting my way around pythony. EKE
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Hi All—
I am reading data from a file using genfromtxt. A part of my data (input,
output, and desired output) is shown below which consists of string,
integer, time, and date type data. I want to read the data so that the
output comes out in the correct format (the desired output as shown below)
OPS! Sorry, I made a mistake on the posting. My output is in a string
format as shown below. I want the 1st and 8th integers, the 3rd string
which is OK as, the 2nd date and the rest time. I tried several
combinations of dtype but could not get the date and time data to without
the single quote -st
Thanks Sydney. The print statement prints items w/o quotation marks,
but doesn't change the type. I want the datatype to be changed.
I am thinking it can eb done with astructured array dtyep but have not
been able to get to wort.
Thanks again--EK
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Tu
Thanks Alan!
Taking the strtime off did not work either and printed dattime.dattime(very
long date format). I was able to get the integer and string parts fixed via
dtype,
but could not do the same for date and time. I have a feeling that
structured arrays might do the trick but don't know yet how
).strftime('%Y-%m-%d')
CF1 = lambda time: datetime.strptime(bytes.decode(time),
'%H:%M').strftime('%H:%M:%S')
MyFile='c:/Users/EK Esawi/My Documents/Temp/GOSA-3.csv'
CRNs={'Date':
CF,'Time':CF1,'Interval':CF1,'Duration
Thanks again Alan for your help and patience. Your earlier suggestion
works; i just now realized that the output was indeed correct. Thanks
again--EK
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Here is a beginner code that might work for you. Best of luck. EK
b=[12, 20, 35]
for i in range(len(b)):
if i==0:
c=0
else:
c=b[i-1]
for j in range(c, b[i]):
print(i+1,j+1)
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OPS! This code now produces desired results. I suppose that this works for
smaller blocks. For larger blocks, it might be cumbersome. EK
b=[12, 20, 35]
for i in range(len(b)):
if i==0:
c=0
elif i==2:
c=24
else:
c=b[i-1]
for j in range(c, b[i]):
Hi All--
I am trying to read a csv file via DictReader and produce a single
dictionary without fieldnames; that is, I just want a single dictionary
that contains tests as keys and grades as values as shown below in my
sample file.
If I loop through the reader, it produces a sequence of 2 entr
Hi All--
My work involves reading large csv files with mixed data types (integer,
float, string, time and date). I was able to accomplish the task using (1)
genfromtxt or (2) looping through each line in the file and split, strip,
and assign data type to each entry.
I am wondering if there is
The first step of my plan is to do basic statistical analysis. The 2nd step
is to chose a sample from each file and do more advanced statistical
analysis for which i plan to use R.
EKE
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