Bokeh NumPy

This function creates a scatter plot with a legend using the Bokeh library. It accepts two arrays x and y as parameters, which represent the x and y data points on the scatter plot.

The type of code 2024-12-16 12:17:23 15 views

Cartopy Numpy

This function uses the Cartopy library to plot a map and adds gridlines and scatter plots. By providing longitude and latitude arrays, specific data points can be displayed on the map.

Map drawing 2024-12-16 12:17:02 16 views

Dask NumPy

This function accepts a Dask array (data) and a number of samples (num_samples). It first shuffles the array and then samples a specified number of elements from it.

Function 2024-12-16 12:16:58 15 views

Blaze Python

This function uses the Blaze library to generate an array of random RGB colors. It first defines a color data type, then creates a Blaze expression to generate random colors, and finally evaluates and returns these colors.

Blaze Expression Evaluation 2024-12-16 12:16:38 15 views

Bokeh Numpy

This function uses the Bokeh library to generate a scatter plot. It accepts two arrays x and y as inputs, which are used as the data source for the scatter plot.

The type of code 2024-12-16 12:16:35 15 views

This function

This function uses the Dask library to create a random array and then performs a random mathematical operation (such as sum, mean, max, min, etc.) on the array, returning the result of the operation.

The type of code 2024-12-16 12:16:32 26 views

Bokeh library

This function creates a scatter plot to visualize the relationship between two sets of data. It accepts two arrays as input, representing the data points for the x and y axes.

The type of code 2024-12-16 12:15:22 8 views

Dask NumPy

This function uses the Dask library to generate a random walk path. It first generates a series of random x and y coordinates, then converts these coordinates into a Dask array using Dask's `from_array` method, and finally returns this Dask array.

The type of code 2024-12-16 12:14:10 15 views

Python TensorFlow

This function takes two numpy arrays as input, converts them to tensors using TensorFlow, performs element-wise addition, and returns the sum.

Python Function 2024-12-16 12:13:56 6 views

Python MXNet

This function uses the MXNet library to generate two random 4x4 matrices and adds them. First, it generates random matrices using MXNet and Numpy, then converts them to MXNet NDArrays. Next, it adds the matrices using MXNet's addition operator and converts the result to a Numpy array to return.

Python Function 2024-12-16 12:12:55 21 views