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Thread: ValueError: shape mismatch: value array of shape...
Post: RE: ValueError: shape mismatch: value array of sha...
prediction[test_index] has shape (47, 1), while y_pred has shape (47,). Either define your prediction as 1D array (with np.zeros(y.shape[0]), or reshape your y_pred to (-1, 1). |
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zivoni |
Homework |
2 |
23,723 |
Jul-10-2017, 11:57 AM |
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Thread: Is it not possible to begin a for loop by 1 instead of 0
Post: RE: Is it not possible to begin a for loop by 1 in...
print M[x][1:] instead of M[x]. Actually you dont need to use range to remove first elements, you can use
for row in M[1:]:
print(row[1:]) |
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zivoni |
General Coding Help |
7 |
5,232 |
Jul-08-2017, 07:03 AM |
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Thread: Is it not possible to begin a for loop by 1 instead of 0
Post: RE: Is it not possible to begin a for loop by 1 in...
range accepts additional argument for starting value of sequence; you can use
for i in range(1, 4):
print(i)to get
Output:1
2
3 |
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zivoni |
General Coding Help |
7 |
5,232 |
Jul-08-2017, 06:26 AM |
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Thread: Visualisation of gaps in time series data
Post: RE: Visualisation of gaps in time series data
I think that matplotlib try to put some small number of equidistantly spaced xticks (likely it depends on figure size and dpi)
Its possible to use
plt.xticks(list_of_x_values)to put xticks exactly w... |
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zivoni |
Homework |
11 |
19,331 |
Jul-04-2017, 11:47 PM |
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Thread: Excel analysis
Post: RE: Excel analysis
Iterating over rows in dataframe / numpy array is very often a bad idea, using pandas/numpy vectorized methods/functions is preferred (morever your i variable in your for loop has values only 0, 1, -1... |
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zivoni |
Data Science |
3 |
4,021 |
Jul-04-2017, 09:52 PM |
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Thread: Saving data from each row into separate txt
Post: RE: Saving data from each row into separate txt
I would guess it means that you have posted different "csv" file than you are actually processing...
Your posted output was probably pandas dataframe output (with line numbers and fields unquoted and... |
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zivoni |
Data Science |
7 |
11,358 |
Jul-04-2017, 09:12 PM |
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Thread: Saving data from each row into separate txt
Post: RE: Saving data from each row into separate txt
It seems that your file contains either empty line or line containing only whitespaces. For such line split() returns empty list that leads to index out of a range error.
You can save your split resu... |
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zivoni |
Data Science |
7 |
11,358 |
Jul-04-2017, 08:43 AM |
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Thread: np.arrange error - no attribute
Post: RE: np.arrange error - no attribute
Numpy has arange() function, not arrange(). Your examples should be like
pp = np.arange(10) |
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zivoni |
Data Science |
3 |
22,799 |
Jul-04-2017, 08:30 AM |
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Thread: Visualisation of gaps in time series data
Post: RE: Visualisation of gaps in time series data
Values of missing should be True/False (special case of int), so basically you should be indexing with 1 or 0. |
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zivoni |
Homework |
11 |
19,331 |
Jun-25-2017, 06:45 PM |
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Thread: Visualisation of gaps in time series data
Post: RE: Visualisation of gaps in time series data
You can take care of irregular difference between timestamps by some truncating or "binning". Example on your timestamps (with fake values):
Output:In [12]: tserie
Out[12]:
2017-02-15 01:11:43.345424... |
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zivoni |
Homework |
11 |
19,331 |
Jun-24-2017, 03:17 PM |
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Thread: Visualisation of gaps in time series data
Post: RE: Visualisation of gaps in time series data
Data preprocessing in this case could be "filling" your timeseries such that it contains all "expected" timestamps.
Simple example with daily data timeserie with single gap:
Output:2017-05-01 10
2017... |
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zivoni |
Homework |
11 |
19,331 |
Jun-23-2017, 09:59 PM |
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Thread: speed up the "for loops"
Post: RE: speed up the "for loops"
You have there five nested for loops (probably each iterating over hundreths of values), so its no wonder that its slow. You should try to use numpy's features, for example your "binning" for loops ca... |
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zivoni |
Data Science |
1 |
3,242 |
Jun-22-2017, 11:14 PM |
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Thread: Need help reading in a binary file
Post: RE: Need help reading in a binary file
There is no array attribute defined in your class, so its correct that read.array raises AttributeError.
As you have implemented __next__ and __iter__, it seems that proper way to use your class woul... |
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zivoni |
Data Science |
2 |
3,953 |
Jun-22-2017, 10:04 AM |
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Thread: Please, help to identify the mistake in the code
Post: RE: Please, help to identify the mistake in the co...
I would guess that problem is with while len(str1) < 10:
str1 = str1 + ""Your first str1 has length 2 and adding empty string does not increase it, so its infinite loop ...
You probably wan... |
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zivoni |
General Coding Help |
4 |
4,341 |
Jun-21-2017, 10:45 PM |
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Thread: numpy.float64 and plot_date in matplotlib
Post: RE: numpy.float64 and plot_date in matplotlib
You do not convert your date to matplotlib dates, value of your date is 20170608?, plt.plot_date takes it as number of days from 1.1.1, that is 55224 years, out of range of python datatetime.
Moreve... |
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zivoni |
Data Science |
1 |
5,748 |
Jun-21-2017, 10:23 PM |
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Thread: output formating
Post: RE: output formating
You need to put correct number of spaces into your formation string, inside triple quotes there is no indentation, so you need to use something like
formation = ''' {}
{} {}
{}'''.format('R',... |
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zivoni |
General Coding Help |
2 |
3,071 |
Jun-19-2017, 07:14 PM |
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Thread: Removing data in a plot
Post: RE: Removing data in a plot
Sorry for late reply, there was misplaced ), it should be:
skip_size = len(next(tscv.split(X))[0]) tcsv.split(X) returns generator object; calling next on it returns tuple of arrays containing indices... |
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zivoni |
Homework |
3 |
3,803 |
Jun-19-2017, 06:31 PM |
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Thread: Speeding up Twitter parser
Post: RE: Speeding up Twitter parser
You are probably dropping majority of your tweets, so it increases processing speed greatly. But putting if condition into your inner for loop is not so good, as you are checking exactly same conditio... |
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zivoni |
Data Science |
3 |
3,686 |
Jun-19-2017, 06:01 PM |
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Thread: Removing data in a plot
Post: RE: Removing data in a plot
Remove first elements from prediction (and y) with slicing when plotting. You can get length of first split either by directly computing it with
skip_size = len(X) - 10 * (len(X) // (10 + 1)) # for ... |
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zivoni |
Homework |
3 |
3,803 |
Jun-08-2017, 09:11 PM |
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Thread: splitting or parsing control characters
Post: RE: splitting or parsing control characters
(May-26-2017, 06:59 PM)volcano63 Wrote: list(itertools.chain(*([s] if re.match('[\x01-\x20]', s)
[''.join(g) for _, g in itertools.groupby(s)]
for i, s i... |
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zivoni |
General Coding Help |
19 |
11,118 |
May-26-2017, 07:27 PM |