from rev import revert
import datetime
file1 = open('/var/www/html/SSN/DTXT/SSN_Monthly_range.txt', 'r')
Lines = file1.readlines()
string = []
insert = []
date = []
ssn = []
err = []
for i in range(len(Lines) - 5):
Lines2 = Lines[i + 5].replace("\t", " ")
string.append(Lines2.replace("\n", " "))
insert = string[i].split()
date.append(revert(float(insert[0])))
ssn.append(insert[1])
err.append(insert[2])
data = pd.DataFrame({'Date': date, 'SSN monthly': ssn, 'Err': err})
data.head()
#dati = dati.drop(columns="Unnamed: 0")
#a = "6-6-2004"
#b = pd.to_datetime(a, format="%d-/%m-/%Y")
data["date"] = pd.to_datetime(data["Date"], format="%Y-%m-%d")
data = data.set_index('date')
data = data.drop(columns=['Date'])
data.to_csv('ssn_monthly.csv')
data.head()
from rev import revert
import datetime
file1 = open('Proton_range.txt', 'r')
Lines = file1.readlines()
string = []
insert = []
date = []
ssn = []
err = []
for i in range(len(Lines) - 4):
Lines2 = Lines[i + 4].replace("\t", " ")
string.append(Lines2.replace("\n", " "))
insert = string[i].split()
date.append(revert(insert[0]))
ssn.append(insert[1])
data = pd.DataFrame({'Date': date, 'Proton density': ssn})
data.head()
#dati = dati.drop(columns="Unnamed: 0")
data["date"] = pd.to_datetime(data["Date"], format="%Y-%m-%d")
data = data.set_index('date')
data = data.drop(columns=['Date'])
data.to_csv('Proton_range.csv')
data.head()
file1 = open('Speed_range.txt', 'r')
Lines = file1.readlines()
string = []
insert = []
