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(1 mark for correct answer) Sumit wants to create a numpy array having 2 rows and 4 columns filled with all 1s. Fill in the blanks with appropriate data to create the required array: import numpy as np. np.ones ([2,4 ... Student1 NaN 78 78 45. Student2 NaN 70 67 56 ...
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NaN NaN NaN NaN## 4 1909 5 NaN NaN ... NaN NaN NaN NaN## ## [5 rows x 62 columns] Mostly NaN values at the beginning! (NaN = “not a number”: similar to nan from math or numpy) Selecting. Like numpy array indexing, but a little different … Pandas doc, indexing and selecting
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Fill in the blank with appropriate numpy method to convert array X from shape 6 to shape 2X3. import numpy as np . x = np.arange(6) x._____ 1. sol. ... Write code to create an ndarray having 9 ones in it. Write statements to change 4th and 8th elements of this array to 5 and 87 ... Student2 NaN 70 67 56. Student3 NaN 90 87 65 ...
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Q.5 How to swap two columns in a 2d numpy array? (Swap columns 1 and 2 in the array arr). Q.6 Consider the following ndarrays: ... (NaN) even though it has all other values stored as integer. ... Q.2 Name the functions you will use to create a(i) line chart,(ii) bar chart,(iii) scatter chart. Q.3 Find output of …
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Create a data frame called df from the following tabular data dictionary that has these index labels: ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j'].
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numpy arrays. np.array(): from list, tuple, nested lists or tuples. dtype= argument specifies data type (“float”, “int32”, “int8”, “uint8” etc.) a.shape returns a tuple giving dimensions. len(a) gives length of dimension 0. also create arrays with np.ones(), np.zeros(), np.arange()
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Write a NumPy program to create a 3x3 matrix with values ranging from 2 to 10. Write a NumPy program to create a one dimensional array with 8 equal spaced values between 4 and 5. ... (Skip NaN value)
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Numpy create array of nan