data-science

来源： https://stackoverflow.com/questions/63594972/getting-error-found-array-with-dim-3-estimator-expected-2-while-running-fo

来源： https://stackoverflow.com/questions/63327220/filtering-a-pandas-dataframe-using-a-function

问题 The bounty expires in 7 days . Answers to this question are eligible for a +50 reputation bounty. Morgan is looking for a more detailed answer to this question: Provide a function which is the opposite to to the numpy.gradient function. Takes in a 2D array of derivative values (which were originally created by the numpy.gradient function) and returns the original scalar values. I need to create a function which would be the inverse of the np.gradient function. Where the Vx,Vy arrays (Velocity

问题 The bounty expires in 7 days . Answers to this question are eligible for a +50 reputation bounty. Morgan is looking for a more detailed answer to this question: Provide a function which is the opposite to to the numpy.gradient function. Takes in a 2D array of derivative values (which were originally created by the numpy.gradient function) and returns the original scalar values. I need to create a function which would be the inverse of the np.gradient function. Where the Vx,Vy arrays (Velocity

问题 I am trying to show on an Area Chart the column name(s) I selected from a Dataframe as label, along with its respective color using Altair. The problem is that every time I do it, the chart disappear and I can't customize the colors based on a list of hex Codes. Is there any way to achieve this? import altair as alt import pandas as pd import os df = { 'Month': ['Apr', 'May'], 'Status': ['Working', 'Complete'], 'Revenue': [1000, 2000], 'Profit': [500, 600] } df = pd.DataFrame(df) hexList = [

问题 How can I input data into keras? What is the structure? Specifically what is the x_train and y_train if I have more than 2 columns? This is the data I want to input: I am trying to define Xtrain in this example Multi Layer Perceptron Neural Network code Keras has in its documentation. (http://keras.io/examples/) Here is the code: from keras.models import Sequential from keras.layers.core import Dense, Dropout, Activation from keras.optimizers import SGD model = Sequential() model.add(Dense(64

问题 I asked this question How is the cosine distance calculated for two arrays with different shapes in Python? yesterday and got a precise answer. However, I tried using the same function to get the cosine distance between xx and yy below as a list, row wise Cosine distance of a row in xx to a row in yy. They are arrays of different shapes. What would be the solution. I must be missing something from the earlier example:- xx = np.array([[ 8.07105800e-01, 2.87828956e-01], [ 8.97970426e-01, 3

问题 I have a PostgreSQL database containing a table test_table with individual records. First column is a simple store_id , second column meausurement is a nested json. store_id | measurement ---------------------- 0 | {...} The format of the measurement column is as follows: { 'file_info': 'xxxx', 'data': { 'contour_data': { 'X': [-97.0, -97.0, -97.0, -97.0, -97.0, -97.0], 'Y': [-43.0, -41.0, -39.0, -39.0, -38.0, -36.0] } } } I would like to plot Y vs. X in a scatter plot in Tableau. Therefore I

问题 I want to merge some rows if they are nearly similar. Similarity can be checked by using spaCy. df: string yellow color yellow color looks like yellow color bright red color okay red color blood output: string yellow color looks like bright red color okay blood solution: brute force approach is - for every item in string check similarity with other n-1 item if greater than some threshold value then merge. Is there any other approach ? As i am not in contact with much people idk how they do it

问题 I want to merge some rows if they are nearly similar. Similarity can be checked by using spaCy. df: string yellow color yellow color looks like yellow color bright red color okay red color blood output: string yellow color looks like bright red color okay blood solution: brute force approach is - for every item in string check similarity with other n-1 item if greater than some threshold value then merge. Is there any other approach ? As i am not in contact with much people idk how they do it