All Questions

I have a 3d array of format given below. The below is the one sample of the 3D array, like it , it contain more than 1000. sample shape of the 3D array is (1000 x 10 x 5) The image contain one element ...

I have an images data set which I have converted into NumPy array and getting total counts of pixels in individual images. I am using below code for this purpose: data_custom_script = images ...

I have a 2d array,such as 5. , 6. , 7. , 8. , 9. ], [-0.6810069 , -0.61737489, 0.09869664, -0.95659638, 0.54052288, -0.21486195, -0....

I was wondering if anyone could shed some light into how I can average this data: I have a .nc file with data (dimensions: 2029,64,32) which relates to time, latitude and longitude. Using these ...

I'm new to numpy and I'm currently working on a modeling project for which I have to perform some calculations based on two different data sources. However until now I haven't managed to figure out ...

I have two ndarrays, where the length of the first dimension of X is the same as the size of y: X = np.asarray([[1, 2, 3], [4, 5, 6], [7, 8, 9], [3, 6, ...

I want to produce a 3-dimensional numpy.ndarray from a multi-indexed pandas.DataFrame. More precisely, say I have: df = pd.DataFrame([[1, '1' , 1, 10], [1, '2', 2, 20], [2, '1', 5, 30]], columns=['x',...

I want to create a DataFrame that contains not 1-dimensional arrays in one or more columns. This is the example: array1 = numpy.array([1,2]) array2 = numpy.array([[1,2],[3,4]]) A B 1 [1, 2] ...

Look at these few lines of code: df2 = df.copy() df2[1:] = df[1:]/df[:-1].values -1 df2.ix[0, :] = 0 Our instructor said we need to use the .values attribute to access the underlying numpy array, ...

I have year data in a pandas dataframe as following: 0 06/09/1937 1 22/11/1972 and i would like to extract only the year data: 0 1937 1 1972 My code: features["year"] = df["...

I have a 2d array/DF >>> X_df.shape Out[36]: (138, 2164) Each row of this array has values uptill a given column (different for all rows) followed by nans: >>> X_df.head(1).T Out[...

I have a pandas.DataFrame that I want to convert to a MultiIndexed pandas.DataFrame. import numpy import pandas import itertools xs = numpy.linspace(0, 10, 100) ys = numpy.linspace(0, 0.1, 20) zs = ...

I have an object from type numpy.core.records.recarray. I want to use it effectively as pandas dataframe. More precisely, I want to use a subset of its columns in order to obtain a new recarray, the ...

Having a 4-D numpy.ndarray, e.g. myarr = np.random.rand(10,4,3,2) dims={'time':1:10,'sub':1:4,'cond':['A','B','C'],'measure':['meas1','meas2']} But with possible higher dimensions. How can I ...

I want to be able to create n-dimensional dataframes. I've heard of a method for 3D dataframes using panels in pandas but, if possible, I would like to extend the dimensions past 3 dims by combining ...