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Questions - numpy

Filter for multiple years Pandas

I have a df where I would like to filter for multiple years Pandas Data id type stat date aa ss y 2022-01-01 bb tt y 2023-01-05 cc uu n 2023-01-05 aa hi y 2021-01-01 aa hi n...
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Lynn

python

pandas

numpy

Votes: 0

Answers: 2

Latest Answer

coerce to datetime and filter by dt.year df[pd.to_datetime(df['date']).dt.year.isin([2022,2023])]
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wwnde

Pandas: How to set index to a column value, group columns, and return values

I have a df as follows: State Country Pop GDP 1 MD USA 433100 1222 2 TX USA 99934123 324234 3 B.C. MEX 324599 5343 4 OA...
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user11805652

python

pandas

dataframe

numpy

Votes: 0

Answers: 1

Latest Answer

We can do groupby with rank create the category then pivot df['new'] = df.groupby('Country')['GDP'].rank().map({1:'Poor',2:'Rich'}) out = df.pivot(index='Country',columns = 'new').sort_index(level=1,...
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BENY

autocorrelation function calculated with numpy is not positive definite?

I am calculating an autocorrelation function of a signal using Numpy's FFT by first calculating the power spectrum. I believe that autocorrelation functions are positive definite. However, when I test...
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tomerg

python

numpy

signal-processing

fft

linear-algebra

Votes: 0

Answers: 1

Latest Answer

Regarding positive definite functions After some rounds in the comment I suspect that you want to check that the autocorrelation is a positive definite function import scipy.linalg; n = 5; # number of...
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Bob

How to obtain a nested seaborn boxplot from a 3D numpy array

I'm trying (and failing) to obtain a nested boxplot starting from a numpy array with dimension 3, for example A = np.random.uniform(size = (4,100,2)). The kind of plot I'm referring to is represented ...
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deppep

python

pandas

numpy

matplotlib

seaborn

Votes: 0

Answers: 1

Latest Answer

You can use np.meshgrid() to generate 3 columns which index the 3D array. Unraveling these arrays makes them suitable as input for seaborn. Optionally, these arrays can be converted to a dataframe, w...
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JohanC

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