51
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5
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1K
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Compute a confidence interval from sample data
I have sample data which I would like to compute a confidence interval for, assuming a normal distribution. I
58
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8
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Installing SciPy and NumPy using pip
I'm trying to create required libraries in a package I'm distributing. It requires both the SciPy an
61
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10
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960
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Fitting empirical distribution to theoretical ones with Scipy (Python)?
INTRODUCTION: I have a list of more than 30,000 integer values ranging from 0 to 47, inclusive, e.g.[0,0,0,0,.
55
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8
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2.6K
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How to normalize a NumPy array to within a certain range?
After doing some processing on an audio or image array, it needs to be normalized within a range before it can
56
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7
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1.2K
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How to add a new row to an empty numpy array
Using standard Python arrays, I can do the following: arr = [] arr.append([1,2,3]) arr.append([4,5,6]) # arr
43
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7
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2.6K
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How to do exponential and logarithmic curve fitting in Python? I found only polynomial fitting
I have a set of data and I want to compare which line describes it best (polynomials of different orders, expo
54
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17
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3.1K
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Calculating Pearson correlation and significance in Python
I am looking for a function that takes as input two lists, and returns the Pearson correlation, and the signif
56
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28
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Moving average or running mean
Is there a SciPy function or NumPy function or module for Python that calculates the running mean of a 1D arra
62
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10
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2.7K
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How to smooth a curve in the right way?
Lets assume we have a dataset which might be given approximately by import numpy as np x = np.linspace(0,2*np
47
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29
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1.7K
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Import Error: No module named numpy
I have a very similar question to this question, but still one step behind. I have only one version of Python
60
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8
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Relationship between SciPy and NumPy
SciPy appears to provide most (but not all [1]) of NumPy's functions in its own namespace. In other words
54
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5
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Using NumPy and Cpython with Jython
I must use a commercial Java library, and would like to do it from Python. Jython is robust and I am fine with
52
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7
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ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
I just discovered a logical bug in my code which was causing all sorts of problems. I was inadvertently doing
52
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8
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dropping infinite values from dataframes in pandas?
what is the quickest/simplest way to drop nan and inf/-inf values from a pandas DataFrame without resetting mo
56
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7
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NumPy array initialization (fill with identical values)
I need to create a NumPy array of length n, each element of which is v. Is there anything better than: a = e
62
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16
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Better way to shuffle two numpy arrays in unison
I have two numpy arrays of different shapes, but with the same length (leading dimension). I want to shuffle e
55
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16
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1.5K
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numpy: most efficient frequency counts for unique values in an array
In numpy / scipy, is there an efficient way to get frequency counts for unique values in an array? Something
53
votes
10
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638
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How to take column-slices of dataframe in pandas
I load some machine learning data from a CSV file. The first 2 columns are observations and the remaining colu
57
votes
10
answers
596
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How do I convert a numpy array to (and display) an image?
I have created an array thusly: import numpy as np data = np.zeros( (512,512,3), dtype=np.uint8) data[256,256
57
votes
13
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1.8K
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Converting numpy dtypes to native python types
If I have a numpy dtype, how do I automatically convert it to its closest python data type? For example, num
