all with sun of 2023

App_mag.csv

@@ -0,0 +1,110 @@
+,Number,Brightness
+1,1.0,8.4
+2,2.0,6.5
+3,3.0,6.39
+4,4.0,5.6
+5,5.0,5.6
+6,6.0,4.2
+7,7.0,3.3
+8,8.0,4.6
+9,9.0,7.7
+10,10.0,6.6
+11,11.0,5.8
+12,12.0,6.7
+13,13.0,5.8
+14,14.0,7.6
+15,15.0,6.2
+16,16.0,6.4
+17,17.0,6.0
+18,18.0,7.5
+19,19.0,6.8
+20,20.0,+6.3
+21,21.0,6.5
+22,22.0,5.1
+23,23.0,5.5
+24,24.0,2.5
+25,25.0,4.6
+26,26.0,8.0
+27,27.0,7.4
+28,28.0,6.8
+29,29.0,7.1
+30,30.0,7.2
+31,31.0,3.44
+32,32.0,8.08
+33,33.0,5.72
+34,34.0,5.5
+35,35.0,5.3
+36,36.0,6.3
+37,37.0,6.2
+38,38.0,7.4
+39,39.0,4.6
+40,40.0,5.6
+41,41.0,4.5
+42,42.0,4.0
+43,43.0,9.0
+44,44.0,3.7
+45,45.0,1.6
+46,46.0,6.0
+47,47.0,4.4
+48,48.0,5.8
+49,49.0,8.4
+50,50.0,5.9
+51,51.0,8.4
+52,52.0,7.3
+53,53.0,7.6
+54,54.0,7.6
+55,55.0,6.3
+56,56.0,8.3
+57,57.0,8.8
+58,58.0,9.7
+59,59.0,9.6
+60,60.0,8.8
+61,61.0,9.7
+62,62.0,6.5
+63,63.0,9.3
+64,64.0,8.52
+65,65.0,9.3
+66,66.0,8.9
+67,67.0,6.1
+68,68.0,7.8
+69,69.0,7.6
+70,70.0,7.9
+71,71.0,8.2
+72,72.0,9.3
+73,73.0,9.0
+74,74.0,9.4
+75,75.0,8.5
+76,76.0,+10.1
+77,77.0,8.9
+78,78.0,8.3
+79,79.0,7.7
+80,80.0,7.3
+81,81.0,6.94
+82,82.0,8.41
+83,83.0,7.6
+84,84.0,9.1
+85,85.0,9.1
+86,86.0,8.9
+87,87.0,8.6
+88,88.0,9.6
+89,89.0,9.8
+90,90.0,9.5
+91,91.0,10.2
+92,92.0,6.4
+93,93.0,6.0
+94,94.0,8.2
+95,95.0,9.7
+96,96.0,9.2
+97,97.0,9.9
+98,98.0,10.1
+99,99.0,9.9
+100,100.0,9.3
+101,101.0,7.9
+103,103.0,7.4
+104,104.0,8.0
+105,105.0,9.3
+106,106.0,8.4
+107,107.0,7.9
+108,108.0,10.0
+109,109.0,9.8
+110,110.0,8.5

Code_to_run#1.py

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+import requests
+from bs4 import BeautifulSoup
+import threading
+import pandas as pd
+dic={"Messier":[0],"RA_h":[0],"RA_m":[0],"RA_s":[0],"Dec_d":[0],"Dec_m":[0],"Dec_s":[0]}
+df=pd.DataFrame(dic)
+def threader(a,b):
+    for i in range(a,b):
+        if i==102:
+            continue
+        try:
+            url="https://en.wikipedia.org/wiki/Messier_"+str(i)
+            r = requests.get(url)
+            h=str(r.content)
+
+
+            a=str(h)
+
+
+
+
+
+
+
+            soup=BeautifulSoup(h,"html.parser")
+            a=str(soup)
+            a=a.replace(r"\xe2\x88\x92","-")
+            a=a.replace(r"\xc2\xb0","d")
+            a=a.replace(r"\xe2\x80\xb2","\'")
+            a=a.replace(r"\xe2\x80\xb3","\"")
+            # print(a.split("external text")[1].split("rel=\"nofollow\">")[1].split("<sup>h</sup>")[1].split("<sup>m</sup>")[1].split("<sup>s</sup>")[1])
+            ra_h=float(a.split("external text")[1].split("rel=\"nofollow\">")[1].split("<sup>h</sup>")[0])
+            ra_m=a.split("external text")[1].split("rel=\"nofollow\">")[1].split("<sup>h</sup>")[1].split("<sup>m</sup>")[0]
+            ra_s=a.split("external text")[1].split("rel=\"nofollow\">")[1].split("<sup>h</sup>")[1].split("<sup>m</sup>")[1].split("<sup>s</sup>")[0]
+            # val=h.split("Apparent magnitude")[2].split("infobox-data\">")[1].split("<")[0]
+            # print(ra_m)
+
+            dec=a.split("external text")[1].split("rel=\"nofollow\">")[1].split("<sup>h</sup>")[1].split("<sup>m</sup>")[1].split("<sup>s</sup>,")[1]
+            # print(dec)
+            dec_d=float(dec.split("d")[0])
+            dec_m=float(dec.split("d")[1].split("\'")[0])
+            dec_s=float(dec.split("d")[1].split("\'")[1].split("\"")[0])
+            df.loc[len(df.index)]=[i,ra_h,ra_m,ra_s,dec_d,dec_m,dec_s]
+            print(ra_h,ra_m,ra_s,dec_d,dec_m,dec_s,sep=" ")
+
+        except:
+            df.loc[len(df.index)]=[i,"Null","Null","Null","Null","Null","Null"]#,"Null","Null","Null","
+# print(h.split("Apparent magnitude")[2])#.split("infobox-data\">")[1])#.split("<")[0])
+# print(h.split("Apparent magnitude")[2].split("infobox-data\">")[1].split("<")[0])
+if __name__ =="__main__":
+    # creating thread
+#     for i in range(1,111,10):
+    t1 = threading.Thread(target=threader, args=(1,41,))
+
+
+    t2 = threading.Thread(target=threader, args=(41,81,))
+    t3 = threading.Thread(target=threader, args=(81,111,))
+
+    # starting thread 1
+    t1.start()
+    # starting thread 2
+    t2.start()
+    t3.start()
+
+    # wait until thread 1 is completely executed
+    t1.join()
+    t2.join()
+    t3.join()
+    # wait until thread 2 is completely executed
+df=df.sort_values(by=["Messier"])
+# df.drop([df.columns[0]],axis=1,inplace=True)
+colum=df['Messier']
+# df.to_csv("coordadf_mess.csv")
+for i in range(1,len(colum)):
+    colum[i]="M"+str(colum[i])
+df['Messier']=colum
+df.to_csv("coord_mess.csv")
+print(df)
+print("Program finished.")

Code_to_run#2.py

@@ -0,0 +1,20 @@
+import requests
+from bs4 import BeautifulSoup
+# import pandas as pd
+url = "http://people.tamu.edu/~kevinkrisciunas/ra_dec_sun_2023.html"
+ht=requests.get(url)
+cont=ht.content
+soup=BeautifulSoup(cont,'html.parser')
+stri=soup.find('pre').get_text()
+values=stri[105:]
+values=values.replace(',','')
+values="Date,RA(hms),Dec(dms)\n"+values
+values=values.replace("           ",'')
+values=values.replace("       ",",")
+
+print(values)
+file=open("Sun_values.csv","w")
+file.write(values)
+file.close()
+
+