My idea is to move on from this
df2 = pd.DataFrame({'usuario': [1,1,1,2,2,2,3,3,3,3,3],
'evento': ["compro","compro","viopag","viopag","entropag","compro","entropag",
"compro","salio","viopag...
I am trying to fit a series of points to a function of the form f(A)=a·(1-exp(-21.6·A))+b·A+c·A^2+d·A^3 . I want this function to satisfy the condition% co_of%, then, since% co_of% is small, I approximate this condition as% co_of%.
The...
My question goes first because I am developing a project where I need to list the medications associated with a medical formula, but after saving the data when I visualize them, I repeat the heading of the formula multiple times, for which I nee...
What I want to do is a program that uses a form to receive data to perform some functions in python code, until here everything is fine, my problem is that if I want to print the result on my web page, I have to have saved the values in cache, b...
Hello, I have a question for more than I search the internet I can not find a solution to my problem, in my interface I have a table that contains two columns of Start Time and End Time! and when I give it to edit it opens the modal and sends me...
When performing a web activity in Azure Data Factory, if it takes more than 1 minute to send the response, it gives an error.
Is there any way to increase that timeout ?
Thanks
I want this URL every 60 seconds, I have this code. The URL brings me data of actions
import requests
url="https:XXXXXXXXXXXXXXX"
r = requests.get(url)
text = r.text
print (text)
How can I do a function to read it to me every 60 seconds?...
I want to read a file on my PC but I get an error, maybe you can help me
import numpy as np
import csv
import logging
csvFile = 'C:/Users/Usuario/Desktop/house/GFG.csv'
def __init__(self, _data=csvFile, _shortTerm=10, _longTerm=15):
s...
I am analyzing the time series of an action (historical from 2000 to 2018)
df.index
Out[179]: RangeIndex(start=0, stop=4309, step=1)
df.info
[4309 rows x 5 columns]>
type(df)
Out[178]: pandas.core.frame.DataFrame
I want to be able to b...
import pandas as pd
df = pd.read_csv("C:/Users/Usuario/Desktop/algotrade/GFG.csv", sep=";", parse_dates=["Date"],dayfirst=True,index_col='Date')
df.head(10)
Out[131]:
Open High Low Close Volume
Date...