#get the top 10 timezone which value is biggestdeftop_counts(count_dict, n=10): value_key_pairs= [(count, tz)fortz, countincount_dict.items()]#this sort method is ascvalue_key_pairs.sort()returnvalue_key_pairs[-n:] # get top counts by get_count function counts = simple_get_coun...
Python program to demonstrate the example of difference between np.mean() and tf.reduce_mean()# Import numpy import numpy as np # Import tensorflow import tensorflow as tf # Creating an array arr = np.array([[1,2],[3,4], [5,6], [6,7]]) # Display original array print("Original...
Quebec, Canada. It was the first widely used Framework. It is a Python library that helps in multi-dimensional arrays for mathematical operations using Numpy or Scipy. Theano can use GPUs for faster computation, it also can automatically build symbolic graphs for computing gradients...
(x_outliers) #separate the two features and use it to plot the data F1 = X_train[:,[0]].reshape(-1,1) F2 = X_train[:,[1]].reshape(-1,1) # create a meshgrid xx , yy = np.meshgrid(np.linspace(-10, 10, 200), np.linspace(-10, 10, 200)) # scatter plot plt.scatter(...
a = torch.linspace(-math.pi, math.pi, 1500, device=device, datatype=datatype) b = torch.sin(a) m = torch.randn((), device=device, datatype=datatype, requires_grad=True) n = torch.randn((), device=device, datatype=datatype, requires_grad=True) ...
Draw a line in the box at the median. Draw lines (whiskers) from the edges of the box that reach to the minimum and maximum values on each side. How to interpret a boxplot graph? In a boxplot graph, the box represents the data’s interquartile range (IQR), which is the 50 percen...