#clcoding
import numpy as np
a = np.array([10,20,30,40,50])
import pandas as pd
sa = pd.Series(a)
print(a)
print(sa)
DIFFERENT WAYS OF CREATING DATAFRAME IN PANDAS - PYTHON PROGRAMMING
Saturday, 19 June 2021
Popular Posts
-
Exploring Python Web Scraping with Coursera’s Guided Project In today’s digital era, data has become a crucial asset. From market trends t... -
What does the following Python code do? arr = [10, 20, 30, 40, 50] result = arr[1:4] print(result) [10, 20, 30] [20, 30, 40] [20, 30, 40, ... -
Explanation: Tuple t Creation : t is a tuple with three elements: 1 → an integer [2, 3] → a mutable list 4 → another integer So, t looks ... -
What will the following code output? a = [1, 2, 3] b = a[:] a[1] = 5 print(a, b) [1, 5, 3] [1, 5, 3] [1, 2, 3] [1, 2, 3] [1, 5, 3] [1, 2, ... -
What will the following Python code output? What will the following Python code output? arr = [1, 3, 5, 7, 9] res = arr[::-1][::2] print(re... -
Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know c... -
What will the following code output? import pandas as pd data = {'Name': ['Alice', 'Bob'], 'Age': [25, 3... -
What will the output of the following code be? def puzzle(): a, b, *c, d = (10, 20, 30, 40, 50) return a, b, c, d print(puzzle()) ... -
What will be the output of the following code? import numpy as np arr = np.array([1, 2, 3, 4]) result = arr * arr[::-1] print(result) [1, ... -
.png)
Step-by-Step Explanation: Dictionary Creation: my_dict = {'a': 1, 'b': 2, 'c': 3} A dictionary named my_dict is crea...
.png)
Posts
0 Comments:
Post a Comment