Problem in defining multidimensional array matrix and regression

2017-11-19 Thread shalu . ashu50
Hi, All,

I have 6 variables in CSV file. One is rainfall (dependent, at y-axis) and 
others are predictors (at x). I want to do multiple regression and create a 
correlation matrix between rainfall (y) and predictors (x; n1=5). Thus I want 
to read rainfall as a separate variable and others in separate columns, so I 
can apply the algo. However, I am not able to make a proper matrix for them. 

Here are my data and codes?
Please suggest me for the same.
I am new to Python.

RF  P1  P2  P3  P4  P5
120.235 0.234   -0.012  0.145   21.023  0.233
200.14  0.512   -0.021  0.214   22.21   0.332
185.362 0.147   -0.32   0.136   24.65   0.423
201.895 0.002   -0.12   0.217   30.25   0.325
165.235 0.256   0.001   0.2231.245  0.552
198.236 0.012   -0.362  0.215   32.25   0.333
350.263 0.98-0.85   0.321   38.412  0.411
145.25  0.046   -0.36   0.147   39.256  0.872
198.654 0.65-0.45   0.224   40.235  0.652
245.214 0.47-0.325  0.311   26.356  0.632
214.02  0.18-0.012  0.242   22.01   0.745
147.256 0.652   -0.785  0.311   18.256  0.924

import numpy as np
import statsmodels as sm
import statsmodels.formula as smf
import csv

with open("pcp1.csv", "r") as csvfile:
readCSV=csv.reader(csvfile)

rainfall = []
csvFileList = [] 

for row in readCSV:
Rain = row[0]
rainfall.append(Rain)

if len (row) !=0:
csvFileList = csvFileList + [row]   

print(csvFileList)
print(rainfall)

Please suggest me guys
Thanks

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Re: Problem in defining multidimensional array matrix and regression

2017-11-19 Thread Peter Otten
shalu.ash...@gmail.com wrote:

> Hi, All,
> 
> I have 6 variables in CSV file. One is rainfall (dependent, at y-axis) and
> others are predictors (at x). I want to do multiple regression and create
> a correlation matrix between rainfall (y) and predictors (x; n1=5). Thus I
> want to read rainfall as a separate variable and others in separate
> columns, so I can apply the algo. However, I am not able to make a proper
> matrix for them.
> 
> Here are my data and codes?
> Please suggest me for the same.
> I am new to Python.
> 
> RFP1  P2  P3  P4  P5
> 120.235   0.234   -0.012  0.145   21.023  0.233
> 200.140.512   -0.021  0.214   22.21   0.332
> 185.362   0.147   -0.32   0.136   24.65   0.423
> 201.895   0.002   -0.12   0.217   30.25   0.325
> 165.235   0.256   0.001   0.2231.245  0.552
> 198.236   0.012   -0.362  0.215   32.25   0.333
> 350.263   0.98-0.85   0.321   38.412  0.411
> 145.250.046   -0.36   0.147   39.256  0.872
> 198.654   0.65-0.45   0.224   40.235  0.652
> 245.214   0.47-0.325  0.311   26.356  0.632
> 214.020.18-0.012  0.242   22.01   0.745
> 147.256   0.652   -0.785  0.311   18.256  0.924
> 
> import numpy as np
> import statsmodels as sm
> import statsmodels.formula as smf
> import csv
> 
> with open("pcp1.csv", "r") as csvfile:
> readCSV=csv.reader(csvfile)
> 
> rainfall = []
> csvFileList = []
> 
> for row in readCSV:
> Rain = row[0]
> rainfall.append(Rain)
> 
> if len (row) !=0:
> csvFileList = csvFileList + [row]
> 
> print(csvFileList)
> print(rainfall)

You are not the first to read tabular data from a file; therefore numpy (and 
pandas) offer highlevel function to do just that. Once you have the complete 
table extracting a specific column is easy. For instance:

$ cat rainfall.txt 
RF  P1  P2  P3  P4  P5
120.235 0.234   -0.012  0.145   21.023  0.233
200.14  0.512   -0.021  0.214   22.21   0.332
185.362 0.147   -0.32   0.136   24.65   0.423
201.895 0.002   -0.12   0.217   30.25   0.325
165.235 0.256   0.001   0.2231.245  0.552
198.236 0.012   -0.362  0.215   32.25   0.333
350.263 0.98-0.85   0.321   38.412  0.411
145.25  0.046   -0.36   0.147   39.256  0.872
198.654 0.65-0.45   0.224   40.235  0.652
245.214 0.47-0.325  0.311   26.356  0.632
214.02  0.18-0.012  0.242   22.01   0.745
147.256 0.652   -0.785  0.311   18.256  0.924
$ python3
Python 3.4.3 (default, Nov 17 2016, 01:08:31) 
[GCC 4.8.4] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy
>>> rf = numpy.genfromtxt("rainfall.txt", names=True)
>>> rf["RF"]
array([ 120.235,  200.14 ,  185.362,  201.895,  165.235,  198.236,
350.263,  145.25 ,  198.654,  245.214,  214.02 ,  147.256])
>>> rf["P3"]
array([ 0.145,  0.214,  0.136,  0.217,  0.22 ,  0.215,  0.321,  0.147,
0.224,  0.311,  0.242,  0.311])


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Re: Problem in defining multidimensional array matrix and regression

2017-11-19 Thread shalu . ashu50
Hello Peter,

Many thanks for your suggestion. 
Now I am using Pandas &
I already did that but now I need to make a multi-dimensional array for reading 
all variables (5 in this case) at one x-axis, so I can perform multiple 
regression analysis. 

I am not getting how to bring all variables at one axis (e.g. at x-axis)?

Thanks
Vishal

On Sunday, 19 November 2017 22:32:06 UTC+5:30, Peter Otten  wrote:
> shalu.ash...@gmail.com wrote:
> 
> > Hi, All,
> > 
> > I have 6 variables in CSV file. One is rainfall (dependent, at y-axis) and
> > others are predictors (at x). I want to do multiple regression and create
> > a correlation matrix between rainfall (y) and predictors (x; n1=5). Thus I
> > want to read rainfall as a separate variable and others in separate
> > columns, so I can apply the algo. However, I am not able to make a proper
> > matrix for them.
> > 
> > Here are my data and codes?
> > Please suggest me for the same.
> > I am new to Python.
> > 
> > RF  P1  P2  P3  P4  P5
> > 120.235 0.234   -0.012  0.145   21.023  0.233
> > 200.14  0.512   -0.021  0.214   22.21   0.332
> > 185.362 0.147   -0.32   0.136   24.65   0.423
> > 201.895 0.002   -0.12   0.217   30.25   0.325
> > 165.235 0.256   0.001   0.2231.245  0.552
> > 198.236 0.012   -0.362  0.215   32.25   0.333
> > 350.263 0.98-0.85   0.321   38.412  0.411
> > 145.25  0.046   -0.36   0.147   39.256  0.872
> > 198.654 0.65-0.45   0.224   40.235  0.652
> > 245.214 0.47-0.325  0.311   26.356  0.632
> > 214.02  0.18-0.012  0.242   22.01   0.745
> > 147.256 0.652   -0.785  0.311   18.256  0.924
> > 
> > import numpy as np
> > import statsmodels as sm
> > import statsmodels.formula as smf
> > import csv
> > 
> > with open("pcp1.csv", "r") as csvfile:
> > readCSV=csv.reader(csvfile)
> > 
> > rainfall = []
> > csvFileList = []
> > 
> > for row in readCSV:
> > Rain = row[0]
> > rainfall.append(Rain)
> > 
> > if len (row) !=0:
> > csvFileList = csvFileList + [row]
> > 
> > print(csvFileList)
> > print(rainfall)
> 
> You are not the first to read tabular data from a file; therefore numpy (and 
> pandas) offer highlevel function to do just that. Once you have the complete 
> table extracting a specific column is easy. For instance:
> 
> $ cat rainfall.txt 
> RF  P1  P2  P3  P4  P5
> 120.235 0.234   -0.012  0.145   21.023  0.233
> 200.14  0.512   -0.021  0.214   22.21   0.332
> 185.362 0.147   -0.32   0.136   24.65   0.423
> 201.895 0.002   -0.12   0.217   30.25   0.325
> 165.235 0.256   0.001   0.2231.245  0.552
> 198.236 0.012   -0.362  0.215   32.25   0.333
> 350.263 0.98-0.85   0.321   38.412  0.411
> 145.25  0.046   -0.36   0.147   39.256  0.872
> 198.654 0.65-0.45   0.224   40.235  0.652
> 245.214 0.47-0.325  0.311   26.356  0.632
> 214.02  0.18-0.012  0.242   22.01   0.745
> 147.256 0.652   -0.785  0.311   18.256  0.924
> $ python3
> Python 3.4.3 (default, Nov 17 2016, 01:08:31) 
> [GCC 4.8.4] on linux
> Type "help", "copyright", "credits" or "license" for more information.
> >>> import numpy
> >>> rf = numpy.genfromtxt("rainfall.txt", names=True)
> >>> rf["RF"]
> array([ 120.235,  200.14 ,  185.362,  201.895,  165.235,  198.236,
> 350.263,  145.25 ,  198.654,  245.214,  214.02 ,  147.256])
> >>> rf["P3"]
> array([ 0.145,  0.214,  0.136,  0.217,  0.22 ,  0.215,  0.321,  0.147,
> 0.224,  0.311,  0.242,  0.311])

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Student can't get if elif final statement to print for discussion post for python

2017-11-19 Thread Cheri Castro
I've tried several variations but haven't been able to figure out why my final 
if elif statement won't print. I tried using return, I tried using 1's and 0's 
rather than yes and no. Not sure what the issue is. Please, help. 


#This function will print how many yes answers the user has and a message
def correctAnswers(job, house, yard, time):
if correctAnswers == 'yes':
print ("Congratulations! You should get a puppy!")
else:
return "I'm sorry, you shouldn't get a puppy."
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Re: Problem in defining multidimensional array matrix and regression

2017-11-19 Thread Ben Finney
shalu.ash...@gmail.com writes:

> I already did that

Peter's suggestion was quite different from the code you first
presented. So, I am not understanding what you mean by “I already did
that”.

Can you:

* Reply with your responses interleaved with the quote text
  https://en.wikipedia.org/wiki/Posting_style#Interleaved_style>,
  so that your message reads like a proper discussion. (This message is
  an example of that.)

* Show the code you wrote where you “already did that”, and say what
  happened different from what you expected.

> but now I need to make a multi-dimensional array for reading all
> variables (5 in this case) at one x-axis

From what I can tell, that's exactly what Peter's example shows: you get
a multi-dimensional array, with all the named variables “RF”, “P1”,
“P2”, and so on, addressible by name.

That should allow you to directly operate on that multi-dimensional
array by naming the variables.

> I am not getting how to bring all variables at one axis (e.g. at
> x-axis)?

I don't understand what you mean by that; all the variables are present
in the array.

-- 
 \  “I don't like country music, but I don't mean to denigrate |
  `\  those who do. And for the people who like country music, |
_o__)denigrate means ‘put down’.” —Bob Newhart |
Ben Finney

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Is there something like head() and str() of R in python?

2017-11-19 Thread Peng Yu
Hi, R has the functions head() and str() to show the brief content of
an object. Is there something similar in python for this purpose?

For example, I want to inspect the content of the variable "train".
What is the best way to do so? Thanks.

$ cat demo.py
from __future__ import division, print_function, absolute_import

import tflearn
from tflearn.data_utils import to_categorical, pad_sequences
from tflearn.datasets import imdb

# IMDB Dataset loading
train, test, _ = imdb.load_data(path='imdb.pkl', n_words=1,
valid_portion=0.1)

# 
https://raw.githubusercontent.com/llSourcell/How_to_do_Sentiment_Analysis/master/demo.py

-- 
Regards,
Peng
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Re: Student can't get if elif final statement to print for discussion post for python

2017-11-19 Thread Ben Finney
Cheri Castro  writes:

> I've tried several variations but haven't been able to figure out why
> my final if elif statement won't print.

The code you presented here does not have any ‘elif’ clause. Did you
mean to show different code?

> I tried using return, I tried using 1's and 0's rather than yes and
> no. Not sure what the issue is. Please, help.

Your questions are welcome here, but you may also be interested in
http://mail.python.org/mailman/listinfo/tutor> the “tutor”
discussion forum especially for Python beginners.

> #This function will print how many yes answers the user has and a message
> def correctAnswers(job, house, yard, time):
> if correctAnswers == 'yes':
> print ("Congratulations! You should get a puppy!")
> else:
> return "I'm sorry, you shouldn't get a puppy."

The ‘if’ clause tests the value of ‘correctAnswers’. Where do you expect
that value to come from? Nothing in the function ever sets a value to
that name.

On the other hand, the function never makes use of ‘job’, ‘house’,
‘yard’, or ‘time’. Why are those parameters to the function?

-- 
 \ “How wonderful that we have met with a paradox. Now we have |
  `\some hope of making progress.” —Niels Bohr |
_o__)  |
Ben Finney

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Re: Student can't get if elif final statement to print for discussion post for python

2017-11-19 Thread MRAB

On 2017-11-19 19:03, Ben Finney wrote:

Cheri Castro  writes:


I've tried several variations but haven't been able to figure out why
my final if elif statement won't print.


The code you presented here does not have any ‘elif’ clause. Did you
mean to show different code?


I tried using return, I tried using 1's and 0's rather than yes and
no. Not sure what the issue is. Please, help.


Your questions are welcome here, but you may also be interested in
http://mail.python.org/mailman/listinfo/tutor> the “tutor”
discussion forum especially for Python beginners.


#This function will print how many yes answers the user has and a message
def correctAnswers(job, house, yard, time):
if correctAnswers == 'yes':
print ("Congratulations! You should get a puppy!")
else:
return "I'm sorry, you shouldn't get a puppy."


The ‘if’ clause tests the value of ‘correctAnswers’. Where do you expect
that value to come from? Nothing in the function ever sets a value to
that name.

On the other hand, the function never makes use of ‘job’, ‘house’,
‘yard’, or ‘time’. Why are those parameters to the function?

The function itself is called 'correctAnswers', and a function is never 
equal to a string.

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Re: "help( pi )"

2017-11-19 Thread Greg Ewing

Cameron Simpson wrote:

Unless one had a misfortune and wanted another docstring.


Good point. I guess having differing docstrings should make
otherwise equal objects ineligible for merging.


 mod1.py:
   MAX_BUFSIZE = 8192
   MAX_BUFSIZE.__doc__ = 'Size of the hardware buffer used for I/O on 
this device.'


 mod2.py
   DEFAULT_CACHESIZE = 8192
   DEFAULT_CACHESIZE.__doc__ = 'Convenient size for the foo cache, not 
to big or too small.'


I think setting the docstring of an existing immutable object
would have to be disallowed -- you need to create a new object
if you want it to have a distinct docstring, e.g.

MAX_BUFSIZE = int(8192, __doc__ = 'Size of the hardware buffer used for I/O on 
this device.')


--
Greg
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Re: Problem in defining multidimensional array matrix and regression

2017-11-19 Thread Thomas Jollans
On 19/11/17 18:55, shalu.ash...@gmail.com wrote:
> Hello Peter,
> 
> Many thanks for your suggestion. 
> Now I am using Pandas &
> I already did that but now I need to make a multi-dimensional array for 
> reading all variables (5 in this case) at one x-axis, so I can perform 
> multiple regression analysis. 
> 
> I am not getting how to bring all variables at one axis (e.g. at x-axis)?

Pandas is great at this: index a single row of a DataFrame with your
favourite selector from
http://pandas.pydata.org/pandas-docs/stable/indexing.html (or just loop
over the DataFrame's .iterrows)

If you want a multi-dimensional array with all the data, numpy.loadtxt
can do that for you.


> 
> Thanks
> Vishal
> 
> On Sunday, 19 November 2017 22:32:06 UTC+5:30, Peter Otten  wrote:
>> shalu.ash...@gmail.com wrote:
>>
>>> Hi, All,
>>>
>>> I have 6 variables in CSV file. One is rainfall (dependent, at y-axis) and
>>> others are predictors (at x). I want to do multiple regression and create
>>> a correlation matrix between rainfall (y) and predictors (x; n1=5). Thus I
>>> want to read rainfall as a separate variable and others in separate
>>> columns, so I can apply the algo. However, I am not able to make a proper
>>> matrix for them.
>>>
>>> Here are my data and codes?
>>> Please suggest me for the same.
>>> I am new to Python.
>>>
>>> RF  P1  P2  P3  P4  P5
>>> 120.235 0.234   -0.012  0.145   21.023  0.233
>>> 200.14  0.512   -0.021  0.214   22.21   0.332
>>> 185.362 0.147   -0.32   0.136   24.65   0.423
>>> 201.895 0.002   -0.12   0.217   30.25   0.325
>>> 165.235 0.256   0.001   0.2231.245  0.552
>>> 198.236 0.012   -0.362  0.215   32.25   0.333
>>> 350.263 0.98-0.85   0.321   38.412  0.411
>>> 145.25  0.046   -0.36   0.147   39.256  0.872
>>> 198.654 0.65-0.45   0.224   40.235  0.652
>>> 245.214 0.47-0.325  0.311   26.356  0.632
>>> 214.02  0.18-0.012  0.242   22.01   0.745
>>> 147.256 0.652   -0.785  0.311   18.256  0.924
>>>
>>> import numpy as np
>>> import statsmodels as sm
>>> import statsmodels.formula as smf
>>> import csv
>>>
>>> with open("pcp1.csv", "r") as csvfile:
>>> readCSV=csv.reader(csvfile)
>>> 
>>> rainfall = []
>>> csvFileList = []
>>> 
>>> for row in readCSV:
>>> Rain = row[0]
>>> rainfall.append(Rain)
>>>
>>> if len (row) !=0:
>>> csvFileList = csvFileList + [row]
>>> 
>>> print(csvFileList)
>>> print(rainfall)
>>
>> You are not the first to read tabular data from a file; therefore numpy (and 
>> pandas) offer highlevel function to do just that. Once you have the complete 
>> table extracting a specific column is easy. For instance:
>>
>> $ cat rainfall.txt 
>> RF  P1  P2  P3  P4  P5
>> 120.235 0.234   -0.012  0.145   21.023  0.233
>> 200.14  0.512   -0.021  0.214   22.21   0.332
>> 185.362 0.147   -0.32   0.136   24.65   0.423
>> 201.895 0.002   -0.12   0.217   30.25   0.325
>> 165.235 0.256   0.001   0.2231.245  0.552
>> 198.236 0.012   -0.362  0.215   32.25   0.333
>> 350.263 0.98-0.85   0.321   38.412  0.411
>> 145.25  0.046   -0.36   0.147   39.256  0.872
>> 198.654 0.65-0.45   0.224   40.235  0.652
>> 245.214 0.47-0.325  0.311   26.356  0.632
>> 214.02  0.18-0.012  0.242   22.01   0.745
>> 147.256 0.652   -0.785  0.311   18.256  0.924
>> $ python3
>> Python 3.4.3 (default, Nov 17 2016, 01:08:31) 
>> [GCC 4.8.4] on linux
>> Type "help", "copyright", "credits" or "license" for more information.
> import numpy
> rf = numpy.genfromtxt("rainfall.txt", names=True)
> rf["RF"]
>> array([ 120.235,  200.14 ,  185.362,  201.895,  165.235,  198.236,
>> 350.263,  145.25 ,  198.654,  245.214,  214.02 ,  147.256])
> rf["P3"]
>> array([ 0.145,  0.214,  0.136,  0.217,  0.22 ,  0.215,  0.321,  0.147,
>> 0.224,  0.311,  0.242,  0.311])
> 

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Re: Student can't get if elif final statement to print for discussion post for python

2017-11-19 Thread Richard Damon

On 11/19/17 1:10 PM, Cheri Castro wrote:

I've tried several variations but haven't been able to figure out why my final 
if elif statement won't print. I tried using return, I tried using 1's and 0's 
rather than yes and no. Not sure what the issue is. Please, help.


#This function will print how many yes answers the user has and a message
def correctAnswers(job, house, yard, time):
 if correctAnswers == 'yes':
 print ("Congratulations! You should get a puppy!")
 else:
 return "I'm sorry, you shouldn't get a puppy."


Why does one path print and the other return, those are different actions.

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Re: Test - please ignore (again)

2017-11-19 Thread Skip Montanaro
> Another test of SpamBayes in comp.lang.python -> python-list gateway.

Still leaning on the submit button to see what gate_news thinks...

Skip
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How to Generate dynamic HTML Report using Python

2017-11-19 Thread mradul dhakad
Hi All ,

I am new to python . I am trying to generate Dynamic HTML report using
Pyhton based on number of rows selected from query .Do any one can suggest
some thing for it.

Thanks,
Mradul
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Re: How to Generate dynamic HTML Report using Python

2017-11-19 Thread Ned Batchelder

On 11/19/17 8:40 PM, Stefan Ram wrote:

mradul dhakad  writes:

I am new to python . I am trying to generate Dynamic HTML report using
Pyhton based on number of rows selected from query .Do any one can suggest
some thing for it.

   main.py

import sqlite3
conn = sqlite3.connect( ':memory:' )
c = conn.cursor()
c.execute( "CREATE TABLE T ( A TEXT )" )
c.execute( "INSERT INTO T ( A ) VALUES ( '1' ), ( '2' )" )
conn.commit()
c.execute( "SELECT * FROM T WHERE A = '1'" )
number_of_rows_selected_from_query = len( c.fetchall() )
conn.close()
del c
del conn
del sqlite3


I'm curious what superstition compels you to delete these names? There's 
no need to.


Also, why set headers that prevent the Python-List mailing list from 
archiving your messages?


--Ned.


def HTML( x ):
 return f'''
 http://www.w3.org/1999/xhtml"; lang="de" xml:lang="de">
 
 Number Of Rows Selected From Query
 Number Of Rows Selected From Query
 The number of rows selected from query is {x}.'''

print( HTML( number_of_rows_selected_from_query ))

   transcript

 
 http://www.w3.org/1999/xhtml"; lang="de" xml:lang="de">
 
 Number Of Rows Selected From Query
 Number Of Rows Selected From Query
 The number of rows selected from query is 1.



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Re: Problem in defining multidimensional array matrix and regression

2017-11-19 Thread ROGER GRAYDON CHRISTMAN
On Sun, 19 Nov 2017, shalu.ash...@gmail.com wrote: >
Hi, All,
>
>I have 6 variables in CSV file. One is rainfall (dependent, at
>y-axis) and others are predictors (at x). I want to do multiple
>regression and create a correlation matrix between rainfall (y) and
>predictors (x; n1=5). Thus I want to read rainfall as a separate
>variable and others in separate columns, so I can apply the algo. However, I am
>not able to make a proper matrix for them. 
>
>Here are my data and codes?
>Please suggest me for the same.
>I am new to Python.
>
>RF P1  P2  P3  P4  P5
>120.2350.234   -0.012  0.145   21.023  0.233
>200.14 0.512   -0.021  0.214   22.21   0.332
>185.3620.147   -0.32   0.136   24.65   0.423
>201.8950.002   -0.12   0.217   30.25   0.325
>165.2350.256   0.001   0.2231.245  0.552
>198.2360.012   -0.362  0.215   32.25   0.333
>350.2630.98-0.85   0.321   38.412  0.411
>145.25 0.046   -0.36   0.147   39.256  0.872
>198.6540.65-0.45   0.224   40.235  0.652
>245.2140.47-0.325  0.311   26.356  0.632
>214.02 0.18-0.012  0.242   22.01   0.745
>147.2560.652   -0.785  0.311   18.256  0.924
>
>import numpy as np
>import statsmodels as sm
>import statsmodels.formula as smf
>import csv
>
>with open("pcp1.csv", "r") as csvfile:
>readCSV=csv.reader(csvfile)
>
>rainfall = []
>csvFileList = [] 
>
>for row in readCSV:
>Rain = row[0]
>rainfall.append(Rain)
>
>if len (row) !=0:
>csvFileList = csvFileList + [row]   
>
>print(csvFileList)
>print(rainfall)
>
>Please suggest me guys
>Thanks
>


There seems to be a conceptual disconnect here.
Do you happen to know what the letters C,S,V
stand for in CSV file?   Because I don't see any C's
in your data, and I don't see anything in your code
to use anything other than C to S your V's.

I'm thinking that is the first place you should look.
You could either modify your data file (with a nice global replace/change)
or you could give a different value to one of the default parameters
to the functions you use to open the file.

Roger Christman
Pennsylvania State University


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Re: How to Generate dynamic HTML Report using Python

2017-11-19 Thread Kryptxy via Python-list
I have a piece of code (module) implementing dynamic html page generation. What 
it simply does is writes all the html content (tags + data) to a file, and the 
file is save with a (.html) extension. Served my purpose. Not really sure is 
this is something you are looking for.

You can view the code here: 
https://github.com/kryptxy/torrench/blob/master/torrench/modules/tpb_details.py

Hope this helps.

 Original Message 
On 20 Nov 2017, 6:46 AM, mradul dhakad wrote:

> Hi All ,
>
> I am new to python . I am trying to generate Dynamic HTML report using
> Pyhton based on number of rows selected from query .Do any one can suggest
> some thing for it.
>
> Thanks,
> Mradul
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