I complete the function as follows:
import pandas as pd
import numpy as np
df1 = pd.DataFrame(np.random.randn(10,4), index=pd.date_range('2021-01-21',periods=10), columns=list("ABCD"))
df2 = pd.DataFrame(np.random.randn(10,4), index=pd.date_range('2021-01-21',periods=10), columns=list("ABCD"))
co...
I am here got this solution for my desired output, But need to know that is there any way to get same output in most efficient way other than this that I have written below? if so Please help me in this.
const a1 = [
{ "user_id": "3", "user_name": "Jack" },
{ "user_id": "4", "user_name": "
I am here got this solution for my desired output, But need to know that is there any way to get same output in most efficient way other than this that I have written below? if so Please help me in this.
const a1 = [
{ "user_id": "3", "user_name": "Jack" },
{ "user_id": "4", "user_name": "