C:\ProgramData\Anaconda3\lib\site-packages\scipy\stats\stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, whic...
that when you use the range argument in python it will go up to, but not include, the final number. Thats why I have written a range of 1-6 to perform this 5 times. pts= [50,60,70] p_labels = "nu1, nu2, m, T" upper = [20,20,10,15] lower = [0.01,0.01,0.01,0.1...
import numpy as np import matplotlib.pyplot as plt data = np.loadtxt('my_data.txt') plt.plot(data[:,0], data[:,1]) plt.show() This is as short as the one-liner shown in the preceding section, yet easier to read, and it will handle many error cases that our pure Python code...
sns.barplot(x='tip_pct',y='day',data=tips,orient='h') D:\Anaconda\lib\site-packages\scipy\stats\stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted ...
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