Understanding the use of any() and all() in NumPy arrays

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[Lysac]

everyone says that one day i'll arrive at indian tutorial videos. damn thats true. Amazing explanation.

[shubhamsarohi]

I can't thank you enough. I was searching for this on stack-overflow but couldn't find a better explanation that this.

[danielmangiron]

Hi!!
If u have 2 np.arrays with boolean elements and the same length. I want to compare them in this way:
if the element of the arr_1 is true and aslo the element of the arr_2 is true (in the same position) make a new array to save the value of True, and the other 3 cases save in that position False.

[sultansheikh]

I am searching for this but i not find satisfactory answer on stackoverflow but here i clear all my dout ....thanks

[dibyenduhazra]

Hi,
Thanks for the useful video. I am trying to execute the following code, but it shows the message: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all(). Do you know how to define such a conditional function that works for an array? Thanks in advance.




def f(x):
if 0 <= x <= 1:
psi = x/3
elif 1 <= x <= 3:
psi = (5-x)
else:
psi = 0
return psi


x1 = np.linspace(0, 10, 500)



plt.plot(x1, f(x1))


plt.xlabel('x-axis')
plt.ylabel('y-axis')
plt.grid()
plt.show()

[tbjapbtu]

I am new subscriber,
How to upload and read a excel file in jupyter notebook

[pranaopande]

Sir, can u please make the same video in Hindi 🙏