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Import Libraries¶
In [2]:
import numpy as np
Read CSV¶
In [3]:
data = np.genfromtxt('Suicidesindia2001-2012.csv',delimiter=',',dtype=str)
data
Out[3]:
array([['State', 'Year', 'Type_code', ..., 'Gender', 'Age_group',
'Total'],
['A & N Islands', '2001', 'Causes', ..., 'Female', '0-14', '0'],
['A & N Islands', '2001', 'Causes', ..., 'Female', '0-14', '0'],
...,
['West Bengal', '2012', 'Social_Status', ..., 'Male', '0-100+',
'5451'],
['West Bengal', '2012', 'Social_Status', ..., 'Male', '0-100+',
'189'],
['West Bengal', '2012', 'Social_Status', ..., 'Male', '0-100+',
'2658']], dtype='<U46')
In [4]:
data = data[1:,:]
data
Out[4]:
array([['A & N Islands', '2001', 'Causes', ..., 'Female', '0-14', '0'],
['A & N Islands', '2001', 'Causes', ..., 'Female', '0-14', '0'],
['A & N Islands', '2001', 'Causes', ..., 'Female', '0-14', '0'],
...,
['West Bengal', '2012', 'Social_Status', ..., 'Male', '0-100+',
'5451'],
['West Bengal', '2012', 'Social_Status', ..., 'Male', '0-100+',
'189'],
['West Bengal', '2012', 'Social_Status', ..., 'Male', '0-100+',
'2658']], dtype='<U46')
Inspect data structure¶
In [5]:
data.shape
Out[5]:
(237519, 7)
Unique Data¶
In [6]:
data[...,0]
Out[6]:
array(['A & N Islands', 'A & N Islands', 'A & N Islands', ...,
'West Bengal', 'West Bengal', 'West Bengal'], dtype='<U46')
In [7]:
np.unique(data[...,0])
Out[7]:
array(['A & N Islands', 'Andhra Pradesh', 'Arunachal Pradesh', 'Assam',
'Bihar', 'Chandigarh', 'Chhattisgarh', 'D & N Haveli',
'Daman & Diu', 'Delhi (Ut)', 'Goa', 'Gujarat', 'Haryana',
'Himachal Pradesh', 'Jammu & Kashmir', 'Jharkhand', 'Karnataka',
'Kerala', 'Lakshadweep', 'Madhya Pradesh', 'Maharashtra',
'Manipur', 'Meghalaya', 'Mizoram', 'Nagaland', 'Odisha',
'Puducherry', 'Punjab', 'Rajasthan', 'Sikkim', 'Tamil Nadu',
'Total (All India)', 'Total (States)', 'Total (Uts)', 'Tripura',
'Uttar Pradesh', 'Uttarakhand', 'West Bengal'], dtype='<U46')
In [8]:
np.unique([data[...,4]])
Out[8]:
array(['Female', 'Male'], dtype='<U46')
In [9]:
np.unique(data[...,1])
Out[9]:
array(['2001', '2002', '2003', '2004', '2005', '2006', '2007', '2008',
'2009', '2010', '2011', '2012'], dtype='<U46')
In [10]:
np.unique(data[...,2])
Out[10]:
array(['Causes', 'Education_Status', 'Means_adopted',
'Professional_Profile', 'Social_Status'], dtype='<U46')
Data Filteration¶
In [11]:
Punjab = data[data[...,0]=='Punjab']
Punjab
Out[11]:
array([['Punjab', '2001', 'Causes', ..., 'Female', '0-14', '0'],
['Punjab', '2001', 'Causes', ..., 'Female', '0-14', '0'],
['Punjab', '2001', 'Causes', ..., 'Female', '0-14', '0'],
...,
['Punjab', '2012', 'Social_Status', ..., 'Male', '0-100+', '4'],
['Punjab', '2012', 'Social_Status', ..., 'Male', '0-100+', '299'],
['Punjab', '2012', 'Social_Status', ..., 'Male', '0-100+', '470']],
dtype='<U46')
Save Data to CSV File¶
In [12]:
np.savetxt("Punjab.csv",Punjab,fmt='%s',delimiter=",")
Punjab 2008¶
In [13]:
Punjab = data[data[...,0]=='Punjab']
Punjab2008 = Punjab[Punjab[...,1]=='2008']
Punjab2008
Out[13]:
array([['Punjab', '2008', 'Causes', ..., 'Female', '0-14', '0'],
['Punjab', '2008', 'Causes', ..., 'Female', '0-14', '1'],
['Punjab', '2008', 'Causes', ..., 'Female', '0-14', '0'],
...,
['Punjab', '2008', 'Social_Status', ..., 'Male', '0-100+', '4'],
['Punjab', '2008', 'Social_Status', ..., 'Male', '0-100+', '404'],
['Punjab', '2008', 'Social_Status', ..., 'Male', '0-100+', '10']],
dtype='<U46')
In [14]:
data
Out[14]:
array([['A & N Islands', '2001', 'Causes', ..., 'Female', '0-14', '0'],
['A & N Islands', '2001', 'Causes', ..., 'Female', '0-14', '0'],
['A & N Islands', '2001', 'Causes', ..., 'Female', '0-14', '0'],
...,
['West Bengal', '2012', 'Social_Status', ..., 'Male', '0-100+',
'5451'],
['West Bengal', '2012', 'Social_Status', ..., 'Male', '0-100+',
'189'],
['West Bengal', '2012', 'Social_Status', ..., 'Male', '0-100+',
'2658']], dtype='<U46')
or¶
In [15]:
data[(data[...,0]=='Punjab') & (data[...,1]=='2008')]
Out[15]:
array([['Punjab', '2008', 'Causes', ..., 'Female', '0-14', '0'],
['Punjab', '2008', 'Causes', ..., 'Female', '0-14', '1'],
['Punjab', '2008', 'Causes', ..., 'Female', '0-14', '0'],
...,
['Punjab', '2008', 'Social_Status', ..., 'Male', '0-100+', '4'],
['Punjab', '2008', 'Social_Status', ..., 'Male', '0-100+', '404'],
['Punjab', '2008', 'Social_Status', ..., 'Male', '0-100+', '10']],
dtype='<U46')
Punjab 2008 Male¶
In [16]:
data[(data[...,0]=='Punjab') & (data[...,1]=='2008') & (data[...,4]=='Male')]
Out[16]:
array([['Punjab', '2008', 'Causes', ..., 'Male', '0-14', '1'],
['Punjab', '2008', 'Causes', ..., 'Male', '0-14', '0'],
['Punjab', '2008', 'Causes', ..., 'Male', '0-14', '0'],
...,
['Punjab', '2008', 'Social_Status', ..., 'Male', '0-100+', '4'],
['Punjab', '2008', 'Social_Status', ..., 'Male', '0-100+', '404'],
['Punjab', '2008', 'Social_Status', ..., 'Male', '0-100+', '10']],
dtype='<U46')
Convert Datatype¶
In [17]:
data[...,6].astype('int')
Out[17]:
array([ 0, 0, 0, ..., 5451, 189, 2658])
Total Suicides in India¶
In [18]:
#write your code here
data[...,6].astype('int').sum()
Out[18]:
13071734
Total Suicides in India State wise¶
In [19]:
#write your code here
for state in np.unique(data[...,0]):
print(state,data[data[...,0]==state][...,6].astype('int').sum())
A & N Islands 8109 Andhra Pradesh 814059 Arunachal Pradesh 6633 Assam 172276 Bihar 46214 Chandigarh 5164 Chhattisgarh 302354 D & N Haveli 3430 Daman & Diu 1391 Delhi (Ut) 84272 Goa 17363 Gujarat 330858 Haryana 147176 Himachal Pradesh 26562 Jammu & Kashmir 14821 Jharkhand 49720 Karnataka 734825 Kerala 538946 Lakshadweep 50 Madhya Pradesh 451535 Maharashtra 901945 Manipur 2102 Meghalaya 5415 Mizoram 4154 Nagaland 1728 Odisha 267234 Puducherry 32144 Punjab 46350 Rajasthan 255134 Sikkim 9606 Tamil Nadu 818691 Total (All India) 2911862 Total (States) 2858026 Total (Uts) 53836 Tripura 45965 Uttar Pradesh 233352 Uttarakhand 18496 West Bengal 849936
Total Suicides in India Year wise¶
In [20]:
#write your code here
for year in np.unique(data[...,1]):
print(year,data[data[...,1]==year][...,6].astype('int').sum())
2001 976464 2002 993648 2003 997622 2004 1023137 2005 1025201 2006 1062991 2007 1103667 2008 1125082 2009 1144033 2010 1211322 2011 1219499 2012 1189068
Total Suicides in India Gender wise¶
In [21]:
#write your code here
for gender in np.unique(data[...,4]):
print(gender,data[data[...,4]==gender][...,6].astype('int').sum())
Female 4702974 Male 8368760
Total Suicides in India State-Year wise¶
In [22]:
data
Out[22]:
array([['A & N Islands', '2001', 'Causes', ..., 'Female', '0-14', '0'],
['A & N Islands', '2001', 'Causes', ..., 'Female', '0-14', '0'],
['A & N Islands', '2001', 'Causes', ..., 'Female', '0-14', '0'],
...,
['West Bengal', '2012', 'Social_Status', ..., 'Male', '0-100+',
'5451'],
['West Bengal', '2012', 'Social_Status', ..., 'Male', '0-100+',
'189'],
['West Bengal', '2012', 'Social_Status', ..., 'Male', '0-100+',
'2658']], dtype='<U46')
In [23]:
#write your code here
for state in np.unique(data[...,0]):
for year in np.unique(data[...,1]):
print(state,year,data[(data[...,0]==state) & (data[...,1]==year)][...,6].astype('int').sum())
A & N Islands 2001 645 A & N Islands 2002 720 A & N Islands 2003 565 A & N Islands 2004 610 A & N Islands 2005 695 A & N Islands 2006 665 A & N Islands 2007 775 A & N Islands 2008 714 A & N Islands 2009 655 A & N Islands 2010 780 A & N Islands 2011 680 A & N Islands 2012 605 Andhra Pradesh 2001 52610 Andhra Pradesh 2002 58465 Andhra Pradesh 2003 57045 Andhra Pradesh 2004 67630 Andhra Pradesh 2005 67210 Andhra Pradesh 2006 66380 Andhra Pradesh 2007 74410 Andhra Pradesh 2008 71729 Andhra Pradesh 2009 72500 Andhra Pradesh 2010 79505 Andhra Pradesh 2011 75385 Andhra Pradesh 2012 71190 Arunachal Pradesh 2001 555 Arunachal Pradesh 2002 570 Arunachal Pradesh 2003 405 Arunachal Pradesh 2004 395 Arunachal Pradesh 2005 350 Arunachal Pradesh 2006 645 Arunachal Pradesh 2007 644 Arunachal Pradesh 2008 549 Arunachal Pradesh 2009 549 Arunachal Pradesh 2010 655 Arunachal Pradesh 2011 670 Arunachal Pradesh 2012 646 Assam 2001 13230 Assam 2002 12550 Assam 2003 12963 Assam 2004 14178 Assam 2005 14209 Assam 2006 15155 Assam 2007 15301 Assam 2008 14945 Assam 2009 14830 Assam 2010 14965 Assam 2011 13630 Assam 2012 16320 Bihar 2001 3015 Bihar 2002 3600 Bihar 2003 2984 Bihar 2004 1755 Bihar 2005 2715 Bihar 2006 3090 Bihar 2007 4825 Bihar 2008 5075 Bihar 2009 5255 Bihar 2010 6130 Bihar 2011 3975 Bihar 2012 3795 Chandigarh 2001 350 Chandigarh 2002 435 Chandigarh 2003 515 Chandigarh 2004 375 Chandigarh 2005 445 Chandigarh 2006 400 Chandigarh 2007 408 Chandigarh 2008 415 Chandigarh 2009 374 Chandigarh 2010 355 Chandigarh 2011 525 Chandigarh 2012 567 Chhattisgarh 2001 20051 Chhattisgarh 2002 19750 Chhattisgarh 2003 19595 Chhattisgarh 2004 22475 Chhattisgarh 2005 24405 Chhattisgarh 2006 23130 Chhattisgarh 2007 24195 Chhattisgarh 2008 24725 Chhattisgarh 2009 29415 Chhattisgarh 2010 32563 Chhattisgarh 2011 33780 Chhattisgarh 2012 28270 D & N Haveli 2001 250 D & N Haveli 2002 250 D & N Haveli 2003 260 D & N Haveli 2004 195 D & N Haveli 2005 345 D & N Haveli 2006 210 D & N Haveli 2007 380 D & N Haveli 2008 300 D & N Haveli 2009 280 D & N Haveli 2010 315 D & N Haveli 2011 315 D & N Haveli 2012 330 Daman & Diu 2001 69 Daman & Diu 2002 85 Daman & Diu 2003 118 Daman & Diu 2004 65 Daman & Diu 2005 159 Daman & Diu 2006 110 Daman & Diu 2007 75 Daman & Diu 2008 95 Daman & Diu 2009 115 Daman & Diu 2010 155 Daman & Diu 2011 165 Daman & Diu 2012 180 Delhi (Ut) 2001 6195 Delhi (Ut) 2002 5265 Delhi (Ut) 2003 5765 Delhi (Ut) 2004 6277 Delhi (Ut) 2005 6224 Delhi (Ut) 2006 7458 Delhi (Ut) 2007 7405 Delhi (Ut) 2008 6511 Delhi (Ut) 2009 7385 Delhi (Ut) 2010 7713 Delhi (Ut) 2011 8580 Delhi (Ut) 2012 9494 Goa 2001 1280 Goa 2002 1545 Goa 2003 1500 Goa 2004 1570 Goa 2005 1410 Goa 2006 1375 Goa 2007 1350 Goa 2008 1431 Goa 2009 1382 Goa 2010 1610 Goa 2011 1465 Goa 2012 1445 Gujarat 2001 23955 Gujarat 2002 23216 Gujarat 2003 22830 Gujarat 2004 23868 Gujarat 2005 23825 Gujarat 2006 25172 Gujarat 2007 27900 Gujarat 2008 30818 Gujarat 2009 30779 Gujarat 2010 31035 Gujarat 2011 31910 Gujarat 2012 35550 Haryana 2001 10031 Haryana 2002 11000 Haryana 2003 11135 Haryana 2004 10410 Haryana 2005 10230 Haryana 2006 11580 Haryana 2007 12165 Haryana 2008 13280 Haryana 2009 12515 Haryana 2010 14470 Haryana 2011 16225 Haryana 2012 14135 Himachal Pradesh 2001 1535 Himachal Pradesh 2002 1670 Himachal Pradesh 2003 1926 Himachal Pradesh 2004 1840 Himachal Pradesh 2005 1795 Himachal Pradesh 2006 2285 Himachal Pradesh 2007 2010 Himachal Pradesh 2008 3148 Himachal Pradesh 2009 2800 Himachal Pradesh 2010 2703 Himachal Pradesh 2011 2214 Himachal Pradesh 2012 2636 Jammu & Kashmir 2001 765 Jammu & Kashmir 2002 919 Jammu & Kashmir 2003 690 Jammu & Kashmir 2004 560 Jammu & Kashmir 2005 1470 Jammu & Kashmir 2006 1301 Jammu & Kashmir 2007 1170 Jammu & Kashmir 2008 1547 Jammu & Kashmir 2009 1602 Jammu & Kashmir 2010 1295 Jammu & Kashmir 2011 1432 Jammu & Kashmir 2012 2070 Jharkhand 2001 1250 Jharkhand 2002 1360 Jharkhand 2003 1360 Jharkhand 2004 2085 Jharkhand 2005 4040 Jharkhand 2006 4280 Jharkhand 2007 6427 Jharkhand 2008 4555 Jharkhand 2009 5550 Jharkhand 2010 6158 Jharkhand 2011 6060 Jharkhand 2012 6595 Karnataka 2001 59405 Karnataka 2002 61350 Karnataka 2003 61805 Karnataka 2004 59685 Karnataka 2005 57785 Karnataka 2006 61060 Karnataka 2007 61520 Karnataka 2008 61110 Karnataka 2009 60975 Karnataka 2010 63255 Karnataka 2011 63110 Karnataka 2012 63765 Kerala 2001 47860 Kerala 2002 49050 Kerala 2003 47190 Kerala 2004 45265 Kerala 2005 46220 Kerala 2006 45130 Kerala 2007 44810 Kerala 2008 42845 Kerala 2009 43775 Kerala 2010 42930 Kerala 2011 41421 Kerala 2012 42450 Lakshadweep 2001 0 Lakshadweep 2002 0 Lakshadweep 2003 10 Lakshadweep 2004 0 Lakshadweep 2005 0 Lakshadweep 2006 10 Lakshadweep 2007 15 Lakshadweep 2008 0 Lakshadweep 2009 5 Lakshadweep 2010 5 Lakshadweep 2011 0 Lakshadweep 2012 5 Madhya Pradesh 2001 34300 Madhya Pradesh 2002 34495 Madhya Pradesh 2003 33810 Madhya Pradesh 2004 33975 Madhya Pradesh 2005 27240 Madhya Pradesh 2006 32175 Madhya Pradesh 2007 31645 Madhya Pradesh 2008 38145 Madhya Pradesh 2009 45565 Madhya Pradesh 2010 45015 Madhya Pradesh 2011 46295 Madhya Pradesh 2012 48875 Maharashtra 2001 73090 Maharashtra 2002 72645 Maharashtra 2003 73800 Maharashtra 2004 73645 Maharashtra 2005 72130 Maharashtra 2006 77470 Maharashtra 2007 75920 Maharashtra 2008 71870 Maharashtra 2009 71500 Maharashtra 2010 79580 Maharashtra 2011 79735 Maharashtra 2012 80560 Manipur 2001 205 Manipur 2002 195 Manipur 2003 130 Manipur 2004 204 Manipur 2005 134 Manipur 2006 180 Manipur 2007 195 Manipur 2008 170 Manipur 2009 134 Manipur 2010 185 Manipur 2011 165 Manipur 2012 205 Meghalaya 2001 435 Meghalaya 2002 332 Meghalaya 2003 205 Meghalaya 2004 275 Meghalaya 2005 355 Meghalaya 2006 459 Meghalaya 2007 435 Meghalaya 2008 424 Meghalaya 2009 557 Meghalaya 2010 537 Meghalaya 2011 761 Meghalaya 2012 640 Mizoram 2001 270 Mizoram 2002 330 Mizoram 2003 260 Mizoram 2004 300 Mizoram 2005 275 Mizoram 2006 348 Mizoram 2007 140 Mizoram 2008 205 Mizoram 2009 339 Mizoram 2010 380 Mizoram 2011 450 Mizoram 2012 857 Nagaland 2001 200 Nagaland 2002 135 Nagaland 2003 109 Nagaland 2004 155 Nagaland 2005 135 Nagaland 2006 140 Nagaland 2007 116 Nagaland 2008 210 Nagaland 2009 153 Nagaland 2010 60 Nagaland 2011 165 Nagaland 2012 150 Odisha 2001 20254 Odisha 2002 21940 Odisha 2003 22100 Odisha 2004 21075 Odisha 2005 21040 Odisha 2006 20325 Odisha 2007 21540 Odisha 2008 24520 Odisha 2009 21825 Odisha 2010 21275 Odisha 2011 26205 Odisha 2012 25135 Puducherry 2001 2645 Puducherry 2002 2835 Puducherry 2003 2910 Puducherry 2004 2694 Puducherry 2005 2690 Puducherry 2006 2630 Puducherry 2007 2585 Puducherry 2008 2535 Puducherry 2009 2590 Puducherry 2010 2540 Puducherry 2011 2785 Puducherry 2012 2705 Punjab 2001 3240 Punjab 2002 2535 Punjab 2003 3155 Punjab 2004 3225 Punjab 2005 2940 Punjab 2006 3860 Punjab 2007 4235 Punjab 2008 4345 Punjab 2009 4235 Punjab 2010 4600 Punjab 2011 4830 Punjab 2012 5150 Rajasthan 2001 15975 Rajasthan 2002 16240 Rajasthan 2003 18305 Rajasthan 2004 18625 Rajasthan 2005 20889 Rajasthan 2006 21315 Rajasthan 2007 22185 Rajasthan 2008 25830 Rajasthan 2009 25325 Rajasthan 2010 24600 Rajasthan 2011 21740 Rajasthan 2012 24105 Sikkim 2001 470 Sikkim 2002 383 Sikkim 2003 525 Sikkim 2004 488 Sikkim 2005 545 Sikkim 2006 725 Sikkim 2007 610 Sikkim 2008 1435 Sikkim 2009 1204 Sikkim 2010 1400 Sikkim 2011 916 Sikkim 2012 905 Tamil Nadu 2001 56450 Tamil Nadu 2002 56134 Tamil Nadu 2003 59360 Tamil Nadu 2004 64195 Tamil Nadu 2005 60380 Tamil Nadu 2006 61905 Tamil Nadu 2007 69055 Tamil Nadu 2008 72125 Tamil Nadu 2009 71832 Tamil Nadu 2010 82805 Tamil Nadu 2011 79815 Tamil Nadu 2012 84635 Total (All India) 2001 217012 Total (All India) 2002 220834 Total (All India) 2003 221702 Total (All India) 2004 227394 Total (All India) 2005 227828 Total (All India) 2006 236224 Total (All India) 2007 245274 Total (All India) 2008 250034 Total (All India) 2009 254302 Total (All India) 2010 269198 Total (All India) 2011 271170 Total (All India) 2012 270890 Total (States) 2001 212950 Total (States) 2002 216998 Total (States) 2003 217644 Total (States) 2004 223306 Total (States) 2005 223604 Total (States) 2006 231630 Total (States) 2007 240614 Total (States) 2008 245804 Total (States) 2009 249740 Total (States) 2010 264452 Total (States) 2011 265950 Total (States) 2012 265334 Total (Uts) 2001 4062 Total (Uts) 2002 3836 Total (Uts) 2003 4058 Total (Uts) 2004 4088 Total (Uts) 2005 4224 Total (Uts) 2006 4594 Total (Uts) 2007 4660 Total (Uts) 2008 4230 Total (Uts) 2009 4562 Total (Uts) 2010 4746 Total (Uts) 2011 5220 Total (Uts) 2012 5556 Tripura 2001 4270 Tripura 2002 3891 Tripura 2003 4220 Tripura 2004 3850 Tripura 2005 3575 Tripura 2006 3825 Tripura 2007 3525 Tripura 2008 3760 Tripura 2009 3689 Tripura 2010 3625 Tripura 2011 3515 Tripura 2012 4220 Uttar Pradesh 2001 17580 Uttar Pradesh 2002 21250 Uttar Pradesh 2003 18315 Uttar Pradesh 2004 18185 Uttar Pradesh 2005 17245 Uttar Pradesh 2006 15495 Uttar Pradesh 2007 19610 Uttar Pradesh 2008 20440 Uttar Pradesh 2009 20790 Uttar Pradesh 2010 18140 Uttar Pradesh 2011 24195 Uttar Pradesh 2012 22107 Uttarakhand 2001 1555 Uttarakhand 2002 1805 Uttarakhand 2003 1953 Uttarakhand 2004 1185 Uttarakhand 2005 1365 Uttarakhand 2006 1630 Uttarakhand 2007 1238 Uttarakhand 2008 948 Uttarakhand 2009 1710 Uttarakhand 2010 1402 Uttarakhand 2011 1585 Uttarakhand 2012 2120 West Bengal 2001 68450 West Bengal 2002 65035 West Bengal 2003 66400 West Bengal 2004 67035 West Bengal 2005 75075 West Bengal 2006 78625 West Bengal 2007 74300 West Bengal 2008 74260 West Bengal 2009 73240 West Bengal 2010 80185 West Bengal 2011 82460 West Bengal 2012 44871
Total Suicides in India State-Gender wise¶
In [24]:
#write your code here
for state in np.unique(data[...,0]):
for gender in np.unique(data[...,4]):
print(state,gender,data[(data[...,0]==state) & (data[...,4]==gender)][...,6].astype('int').sum())
A & N Islands Female 2750 A & N Islands Male 5359 Andhra Pradesh Female 271939 Andhra Pradesh Male 542120 Arunachal Pradesh Female 1954 Arunachal Pradesh Male 4679 Assam Female 55124 Assam Male 117152 Bihar Female 20254 Bihar Male 25960 Chandigarh Female 1887 Chandigarh Male 3277 Chhattisgarh Female 98574 Chhattisgarh Male 203780 D & N Haveli Female 1400 D & N Haveli Male 2030 Daman & Diu Female 475 Daman & Diu Male 916 Delhi (Ut) Female 30678 Delhi (Ut) Male 53594 Goa Female 5522 Goa Male 11841 Gujarat Female 132493 Gujarat Male 198365 Haryana Female 39106 Haryana Male 108070 Himachal Pradesh Female 9641 Himachal Pradesh Male 16921 Jammu & Kashmir Female 6805 Jammu & Kashmir Male 8016 Jharkhand Female 17682 Jharkhand Male 32038 Karnataka Female 242870 Karnataka Male 491955 Kerala Female 145153 Kerala Male 393793 Lakshadweep Female 30 Lakshadweep Male 20 Madhya Pradesh Female 203150 Madhya Pradesh Male 248385 Maharashtra Female 293175 Maharashtra Male 608770 Manipur Female 664 Manipur Male 1438 Meghalaya Female 1558 Meghalaya Male 3857 Mizoram Female 555 Mizoram Male 3599 Nagaland Female 433 Nagaland Male 1295 Odisha Female 109605 Odisha Male 157629 Puducherry Female 11004 Puducherry Male 21140 Punjab Female 10975 Punjab Male 35375 Rajasthan Female 82289 Rajasthan Male 172845 Sikkim Female 3319 Sikkim Male 6287 Tamil Nadu Female 306485 Tamil Nadu Male 512206 Total (All India) Female 1048026 Total (All India) Male 1863836 Total (States) Female 1028730 Total (States) Male 1829296 Total (Uts) Female 19296 Total (Uts) Male 34540 Tripura Female 18559 Tripura Male 27406 Uttar Pradesh Female 108025 Uttar Pradesh Male 125327 Uttarakhand Female 7548 Uttarakhand Male 10948 West Bengal Female 365241 West Bengal Male 484695
Total Suicides in India Year-Gender wise¶
In [25]:
#write your code here
for year in np.unique(data[...,1]):
for gender in np.unique(data[...,4]):
print(year,gender,data[(data[...,1]==year) & (data[...,4]==gender)][...,6].astype('int').sum())
2001 Female 379645 2001 Male 596819 2002 Female 369675 2002 Male 623973 2003 Female 365657 2003 Male 631965 2004 Female 369297 2004 Male 653840 2005 Female 368980 2005 Male 656221 2006 Female 381677 2006 Male 681314 2007 Female 390032 2007 Male 713635 2008 Female 400202 2008 Male 724880 2009 Female 411050 2009 Male 732983 2010 Female 426705 2010 Male 784617 2011 Female 429688 2011 Male 789811 2012 Female 410366 2012 Male 778702
Total Suicides in India State-Year-Gender wise¶
In [26]:
#write your code here
#write your code here
for state in np.unique(data[...,0]):
for year in np.unique(data[...,1]):
for gender in np.unique(data[...,4]):
print(state,year,gender,data[(data[...,0]==state) & (data[...,1]==year) & (data[...,4]==gender)][...,6].astype('int').sum())
A & N Islands 2001 Female 250 A & N Islands 2001 Male 395 A & N Islands 2002 Female 265 A & N Islands 2002 Male 455 A & N Islands 2003 Female 215 A & N Islands 2003 Male 350 A & N Islands 2004 Female 205 A & N Islands 2004 Male 405 A & N Islands 2005 Female 265 A & N Islands 2005 Male 430 A & N Islands 2006 Female 185 A & N Islands 2006 Male 480 A & N Islands 2007 Female 280 A & N Islands 2007 Male 495 A & N Islands 2008 Female 225 A & N Islands 2008 Male 489 A & N Islands 2009 Female 225 A & N Islands 2009 Male 430 A & N Islands 2010 Female 220 A & N Islands 2010 Male 560 A & N Islands 2011 Female 210 A & N Islands 2011 Male 470 A & N Islands 2012 Female 205 A & N Islands 2012 Male 400 Andhra Pradesh 2001 Female 20715 Andhra Pradesh 2001 Male 31895 Andhra Pradesh 2002 Female 20610 Andhra Pradesh 2002 Male 37855 Andhra Pradesh 2003 Female 19480 Andhra Pradesh 2003 Male 37565 Andhra Pradesh 2004 Female 22220 Andhra Pradesh 2004 Male 45410 Andhra Pradesh 2005 Female 22885 Andhra Pradesh 2005 Male 44325 Andhra Pradesh 2006 Female 22065 Andhra Pradesh 2006 Male 44315 Andhra Pradesh 2007 Female 24665 Andhra Pradesh 2007 Male 49745 Andhra Pradesh 2008 Female 23124 Andhra Pradesh 2008 Male 48605 Andhra Pradesh 2009 Female 23065 Andhra Pradesh 2009 Male 49435 Andhra Pradesh 2010 Female 24770 Andhra Pradesh 2010 Male 54735 Andhra Pradesh 2011 Female 24785 Andhra Pradesh 2011 Male 50600 Andhra Pradesh 2012 Female 23555 Andhra Pradesh 2012 Male 47635 Arunachal Pradesh 2001 Female 175 Arunachal Pradesh 2001 Male 380 Arunachal Pradesh 2002 Female 215 Arunachal Pradesh 2002 Male 355 Arunachal Pradesh 2003 Female 135 Arunachal Pradesh 2003 Male 270 Arunachal Pradesh 2004 Female 150 Arunachal Pradesh 2004 Male 245 Arunachal Pradesh 2005 Female 105 Arunachal Pradesh 2005 Male 245 Arunachal Pradesh 2006 Female 165 Arunachal Pradesh 2006 Male 480 Arunachal Pradesh 2007 Female 154 Arunachal Pradesh 2007 Male 490 Arunachal Pradesh 2008 Female 165 Arunachal Pradesh 2008 Male 384 Arunachal Pradesh 2009 Female 165 Arunachal Pradesh 2009 Male 384 Arunachal Pradesh 2010 Female 200 Arunachal Pradesh 2010 Male 455 Arunachal Pradesh 2011 Female 175 Arunachal Pradesh 2011 Male 495 Arunachal Pradesh 2012 Female 150 Arunachal Pradesh 2012 Male 496 Assam 2001 Female 4050 Assam 2001 Male 9180 Assam 2002 Female 4040 Assam 2002 Male 8510 Assam 2003 Female 4600 Assam 2003 Male 8363 Assam 2004 Female 4453 Assam 2004 Male 9725 Assam 2005 Female 4475 Assam 2005 Male 9734 Assam 2006 Female 4575 Assam 2006 Male 10580 Assam 2007 Female 4721 Assam 2007 Male 10580 Assam 2008 Female 5095 Assam 2008 Male 9850 Assam 2009 Female 5420 Assam 2009 Male 9410 Assam 2010 Female 4835 Assam 2010 Male 10130 Assam 2011 Female 4500 Assam 2011 Male 9130 Assam 2012 Female 4360 Assam 2012 Male 11960 Bihar 2001 Female 1480 Bihar 2001 Male 1535 Bihar 2002 Female 1470 Bihar 2002 Male 2130 Bihar 2003 Female 1229 Bihar 2003 Male 1755 Bihar 2004 Female 695 Bihar 2004 Male 1060 Bihar 2005 Female 1080 Bihar 2005 Male 1635 Bihar 2006 Female 1595 Bihar 2006 Male 1495 Bihar 2007 Female 2155 Bihar 2007 Male 2670 Bihar 2008 Female 2030 Bihar 2008 Male 3045 Bihar 2009 Female 2685 Bihar 2009 Male 2570 Bihar 2010 Female 2570 Bihar 2010 Male 3560 Bihar 2011 Female 1745 Bihar 2011 Male 2230 Bihar 2012 Female 1520 Bihar 2012 Male 2275 Chandigarh 2001 Female 155 Chandigarh 2001 Male 195 Chandigarh 2002 Female 170 Chandigarh 2002 Male 265 Chandigarh 2003 Female 175 Chandigarh 2003 Male 340 Chandigarh 2004 Female 115 Chandigarh 2004 Male 260 Chandigarh 2005 Female 130 Chandigarh 2005 Male 315 Chandigarh 2006 Female 120 Chandigarh 2006 Male 280 Chandigarh 2007 Female 110 Chandigarh 2007 Male 298 Chandigarh 2008 Female 125 Chandigarh 2008 Male 290 Chandigarh 2009 Female 155 Chandigarh 2009 Male 219 Chandigarh 2010 Female 200 Chandigarh 2010 Male 155 Chandigarh 2011 Female 240 Chandigarh 2011 Male 285 Chandigarh 2012 Female 192 Chandigarh 2012 Male 375 Chhattisgarh 2001 Female 6851 Chhattisgarh 2001 Male 13200 Chhattisgarh 2002 Female 6605 Chhattisgarh 2002 Male 13145 Chhattisgarh 2003 Female 6635 Chhattisgarh 2003 Male 12960 Chhattisgarh 2004 Female 7545 Chhattisgarh 2004 Male 14930 Chhattisgarh 2005 Female 7880 Chhattisgarh 2005 Male 16525 Chhattisgarh 2006 Female 7830 Chhattisgarh 2006 Male 15300 Chhattisgarh 2007 Female 7915 Chhattisgarh 2007 Male 16280 Chhattisgarh 2008 Female 8485 Chhattisgarh 2008 Male 16240 Chhattisgarh 2009 Female 9645 Chhattisgarh 2009 Male 19770 Chhattisgarh 2010 Female 9838 Chhattisgarh 2010 Male 22725 Chhattisgarh 2011 Female 11145 Chhattisgarh 2011 Male 22635 Chhattisgarh 2012 Female 8200 Chhattisgarh 2012 Male 20070 D & N Haveli 2001 Female 75 D & N Haveli 2001 Male 175 D & N Haveli 2002 Female 90 D & N Haveli 2002 Male 160 D & N Haveli 2003 Female 110 D & N Haveli 2003 Male 150 D & N Haveli 2004 Female 95 D & N Haveli 2004 Male 100 D & N Haveli 2005 Female 140 D & N Haveli 2005 Male 205 D & N Haveli 2006 Female 95 D & N Haveli 2006 Male 115 D & N Haveli 2007 Female 160 D & N Haveli 2007 Male 220 D & N Haveli 2008 Female 140 D & N Haveli 2008 Male 160 D & N Haveli 2009 Female 130 D & N Haveli 2009 Male 150 D & N Haveli 2010 Female 130 D & N Haveli 2010 Male 185 D & N Haveli 2011 Female 110 D & N Haveli 2011 Male 205 D & N Haveli 2012 Female 125 D & N Haveli 2012 Male 205 Daman & Diu 2001 Female 20 Daman & Diu 2001 Male 49 Daman & Diu 2002 Female 10 Daman & Diu 2002 Male 75 Daman & Diu 2003 Female 30 Daman & Diu 2003 Male 88 Daman & Diu 2004 Female 40 Daman & Diu 2004 Male 25 Daman & Diu 2005 Female 35 Daman & Diu 2005 Male 124 Daman & Diu 2006 Female 40 Daman & Diu 2006 Male 70 Daman & Diu 2007 Female 45 Daman & Diu 2007 Male 30 Daman & Diu 2008 Female 25 Daman & Diu 2008 Male 70 Daman & Diu 2009 Female 40 Daman & Diu 2009 Male 75 Daman & Diu 2010 Female 60 Daman & Diu 2010 Male 95 Daman & Diu 2011 Female 75 Daman & Diu 2011 Male 90 Daman & Diu 2012 Female 55 Daman & Diu 2012 Male 125 Delhi (Ut) 2001 Female 2545 Delhi (Ut) 2001 Male 3650 Delhi (Ut) 2002 Female 2050 Delhi (Ut) 2002 Male 3215 Delhi (Ut) 2003 Female 2060 Delhi (Ut) 2003 Male 3705 Delhi (Ut) 2004 Female 2283 Delhi (Ut) 2004 Male 3994 Delhi (Ut) 2005 Female 2339 Delhi (Ut) 2005 Male 3885 Delhi (Ut) 2006 Female 2658 Delhi (Ut) 2006 Male 4800 Delhi (Ut) 2007 Female 2575 Delhi (Ut) 2007 Male 4830 Delhi (Ut) 2008 Female 2536 Delhi (Ut) 2008 Male 3975 Delhi (Ut) 2009 Female 2720 Delhi (Ut) 2009 Male 4665 Delhi (Ut) 2010 Female 2908 Delhi (Ut) 2010 Male 4805 Delhi (Ut) 2011 Female 2740 Delhi (Ut) 2011 Male 5840 Delhi (Ut) 2012 Female 3264 Delhi (Ut) 2012 Male 6230 Goa 2001 Female 445 Goa 2001 Male 835 Goa 2002 Female 415 Goa 2002 Male 1130 Goa 2003 Female 435 Goa 2003 Male 1065 Goa 2004 Female 510 Goa 2004 Male 1060 Goa 2005 Female 425 Goa 2005 Male 985 Goa 2006 Female 460 Goa 2006 Male 915 Goa 2007 Female 460 Goa 2007 Male 890 Goa 2008 Female 520 Goa 2008 Male 911 Goa 2009 Female 467 Goa 2009 Male 915 Goa 2010 Female 430 Goa 2010 Male 1180 Goa 2011 Female 490 Goa 2011 Male 975 Goa 2012 Female 465 Goa 2012 Male 980 Gujarat 2001 Female 10710 Gujarat 2001 Male 13245 Gujarat 2002 Female 9686 Gujarat 2002 Male 13530 Gujarat 2003 Female 9580 Gujarat 2003 Male 13250 Gujarat 2004 Female 9618 Gujarat 2004 Male 14250 Gujarat 2005 Female 9315 Gujarat 2005 Male 14510 Gujarat 2006 Female 9932 Gujarat 2006 Male 15240 Gujarat 2007 Female 11025 Gujarat 2007 Male 16875 Gujarat 2008 Female 12143 Gujarat 2008 Male 18675 Gujarat 2009 Female 12424 Gujarat 2009 Male 18355 Gujarat 2010 Female 11970 Gujarat 2010 Male 19065 Gujarat 2011 Female 12350 Gujarat 2011 Male 19560 Gujarat 2012 Female 13740 Gujarat 2012 Male 21810 Haryana 2001 Female 3211 Haryana 2001 Male 6820 Haryana 2002 Female 3150 Haryana 2002 Male 7850 Haryana 2003 Female 3070 Haryana 2003 Male 8065 Haryana 2004 Female 3140 Haryana 2004 Male 7270 Haryana 2005 Female 2765 Haryana 2005 Male 7465 Haryana 2006 Female 2750 Haryana 2006 Male 8830 Haryana 2007 Female 2905 Haryana 2007 Male 9260 Haryana 2008 Female 3410 Haryana 2008 Male 9870 Haryana 2009 Female 3440 Haryana 2009 Male 9075 Haryana 2010 Female 3580 Haryana 2010 Male 10890 Haryana 2011 Female 3905 Haryana 2011 Male 12320 Haryana 2012 Female 3780 Haryana 2012 Male 10355 Himachal Pradesh 2001 Female 650 Himachal Pradesh 2001 Male 885 Himachal Pradesh 2002 Female 630 Himachal Pradesh 2002 Male 1040 Himachal Pradesh 2003 Female 730 Himachal Pradesh 2003 Male 1196 Himachal Pradesh 2004 Female 675 Himachal Pradesh 2004 Male 1165 Himachal Pradesh 2005 Female 725 Himachal Pradesh 2005 Male 1070 Himachal Pradesh 2006 Female 780 Himachal Pradesh 2006 Male 1505 Himachal Pradesh 2007 Female 720 Himachal Pradesh 2007 Male 1290 Himachal Pradesh 2008 Female 1063 Himachal Pradesh 2008 Male 2085 Himachal Pradesh 2009 Female 970 Himachal Pradesh 2009 Male 1830 Himachal Pradesh 2010 Female 963 Himachal Pradesh 2010 Male 1740 Himachal Pradesh 2011 Female 869 Himachal Pradesh 2011 Male 1345 Himachal Pradesh 2012 Female 866 Himachal Pradesh 2012 Male 1770 Jammu & Kashmir 2001 Female 310 Jammu & Kashmir 2001 Male 455 Jammu & Kashmir 2002 Female 440 Jammu & Kashmir 2002 Male 479 Jammu & Kashmir 2003 Female 375 Jammu & Kashmir 2003 Male 315 Jammu & Kashmir 2004 Female 305 Jammu & Kashmir 2004 Male 255 Jammu & Kashmir 2005 Female 490 Jammu & Kashmir 2005 Male 980 Jammu & Kashmir 2006 Female 542 Jammu & Kashmir 2006 Male 759 Jammu & Kashmir 2007 Female 405 Jammu & Kashmir 2007 Male 765 Jammu & Kashmir 2008 Female 665 Jammu & Kashmir 2008 Male 882 Jammu & Kashmir 2009 Female 765 Jammu & Kashmir 2009 Male 837 Jammu & Kashmir 2010 Female 685 Jammu & Kashmir 2010 Male 610 Jammu & Kashmir 2011 Female 713 Jammu & Kashmir 2011 Male 719 Jammu & Kashmir 2012 Female 1110 Jammu & Kashmir 2012 Male 960 Jharkhand 2001 Female 545 Jharkhand 2001 Male 705 Jharkhand 2002 Female 595 Jharkhand 2002 Male 765 Jharkhand 2003 Female 595 Jharkhand 2003 Male 765 Jharkhand 2004 Female 920 Jharkhand 2004 Male 1165 Jharkhand 2005 Female 1425 Jharkhand 2005 Male 2615 Jharkhand 2006 Female 1675 Jharkhand 2006 Male 2605 Jharkhand 2007 Female 2027 Jharkhand 2007 Male 4400 Jharkhand 2008 Female 1545 Jharkhand 2008 Male 3010 Jharkhand 2009 Female 1830 Jharkhand 2009 Male 3720 Jharkhand 2010 Female 2185 Jharkhand 2010 Male 3973 Jharkhand 2011 Female 1935 Jharkhand 2011 Male 4125 Jharkhand 2012 Female 2405 Jharkhand 2012 Male 4190 Karnataka 2001 Female 20050 Karnataka 2001 Male 39355 Karnataka 2002 Female 20950 Karnataka 2002 Male 40400 Karnataka 2003 Female 19930 Karnataka 2003 Male 41875 Karnataka 2004 Female 19595 Karnataka 2004 Male 40090 Karnataka 2005 Female 19250 Karnataka 2005 Male 38535 Karnataka 2006 Female 20820 Karnataka 2006 Male 40240 Karnataka 2007 Female 19560 Karnataka 2007 Male 41960 Karnataka 2008 Female 20030 Karnataka 2008 Male 41080 Karnataka 2009 Female 19930 Karnataka 2009 Male 41045 Karnataka 2010 Female 21220 Karnataka 2010 Male 42035 Karnataka 2011 Female 20750 Karnataka 2011 Male 42360 Karnataka 2012 Female 20785 Karnataka 2012 Male 42980 Kerala 2001 Female 13925 Kerala 2001 Male 33935 Kerala 2002 Female 13225 Kerala 2002 Male 35825 Kerala 2003 Female 12515 Kerala 2003 Male 34675 Kerala 2004 Female 12275 Kerala 2004 Male 32990 Kerala 2005 Female 12070 Kerala 2005 Male 34150 Kerala 2006 Female 12215 Kerala 2006 Male 32915 Kerala 2007 Female 11870 Kerala 2007 Male 32940 Kerala 2008 Female 12195 Kerala 2008 Male 30650 Kerala 2009 Female 12165 Kerala 2009 Male 31610 Kerala 2010 Female 11200 Kerala 2010 Male 31730 Kerala 2011 Female 11093 Kerala 2011 Male 30328 Kerala 2012 Female 10405 Kerala 2012 Male 32045 Lakshadweep 2001 Female 0 Lakshadweep 2001 Male 0 Lakshadweep 2002 Female 0 Lakshadweep 2002 Male 0 Lakshadweep 2003 Female 5 Lakshadweep 2003 Male 5 Lakshadweep 2004 Female 0 Lakshadweep 2004 Male 0 Lakshadweep 2005 Female 0 Lakshadweep 2005 Male 0 Lakshadweep 2006 Female 5 Lakshadweep 2006 Male 5 Lakshadweep 2007 Female 10 Lakshadweep 2007 Male 5 Lakshadweep 2008 Female 0 Lakshadweep 2008 Male 0 Lakshadweep 2009 Female 5 Lakshadweep 2009 Male 0 Lakshadweep 2010 Female 5 Lakshadweep 2010 Male 0 Lakshadweep 2011 Female 0 Lakshadweep 2011 Male 0 Lakshadweep 2012 Female 0 Lakshadweep 2012 Male 5 Madhya Pradesh 2001 Female 16620 Madhya Pradesh 2001 Male 17680 Madhya Pradesh 2002 Female 16600 Madhya Pradesh 2002 Male 17895 Madhya Pradesh 2003 Female 16120 Madhya Pradesh 2003 Male 17690 Madhya Pradesh 2004 Female 15805 Madhya Pradesh 2004 Male 18170 Madhya Pradesh 2005 Female 12985 Madhya Pradesh 2005 Male 14255 Madhya Pradesh 2006 Female 14660 Madhya Pradesh 2006 Male 17515 Madhya Pradesh 2007 Female 14295 Madhya Pradesh 2007 Male 17350 Madhya Pradesh 2008 Female 16320 Madhya Pradesh 2008 Male 21825 Madhya Pradesh 2009 Female 20065 Madhya Pradesh 2009 Male 25500 Madhya Pradesh 2010 Female 19580 Madhya Pradesh 2010 Male 25435 Madhya Pradesh 2011 Female 20095 Madhya Pradesh 2011 Male 26200 Madhya Pradesh 2012 Female 20005 Madhya Pradesh 2012 Male 28870 Maharashtra 2001 Female 26400 Maharashtra 2001 Male 46690 Maharashtra 2002 Female 25410 Maharashtra 2002 Male 47235 Maharashtra 2003 Female 24750 Maharashtra 2003 Male 49050 Maharashtra 2004 Female 24130 Maharashtra 2004 Male 49515 Maharashtra 2005 Female 24115 Maharashtra 2005 Male 48015 Maharashtra 2006 Female 24920 Maharashtra 2006 Male 52550 Maharashtra 2007 Female 23820 Maharashtra 2007 Male 52100 Maharashtra 2008 Female 22425 Maharashtra 2008 Male 49445 Maharashtra 2009 Female 22575 Maharashtra 2009 Male 48925 Maharashtra 2010 Female 25290 Maharashtra 2010 Male 54290 Maharashtra 2011 Female 25300 Maharashtra 2011 Male 54435 Maharashtra 2012 Female 24040 Maharashtra 2012 Male 56520 Manipur 2001 Female 85 Manipur 2001 Male 120 Manipur 2002 Female 45 Manipur 2002 Male 150 Manipur 2003 Female 25 Manipur 2003 Male 105 Manipur 2004 Female 45 Manipur 2004 Male 159 Manipur 2005 Female 20 Manipur 2005 Male 114 Manipur 2006 Female 60 Manipur 2006 Male 120 Manipur 2007 Female 55 Manipur 2007 Male 140 Manipur 2008 Female 55 Manipur 2008 Male 115 Manipur 2009 Female 44 Manipur 2009 Male 90 Manipur 2010 Female 65 Manipur 2010 Male 120 Manipur 2011 Female 75 Manipur 2011 Male 90 Manipur 2012 Female 90 Manipur 2012 Male 115 Meghalaya 2001 Female 90 Meghalaya 2001 Male 345 Meghalaya 2002 Female 90 Meghalaya 2002 Male 242 Meghalaya 2003 Female 45 Meghalaya 2003 Male 160 Meghalaya 2004 Female 80 Meghalaya 2004 Male 195 Meghalaya 2005 Female 105 Meghalaya 2005 Male 250 Meghalaya 2006 Female 115 Meghalaya 2006 Male 344 Meghalaya 2007 Female 135 Meghalaya 2007 Male 300 Meghalaya 2008 Female 139 Meghalaya 2008 Male 285 Meghalaya 2009 Female 222 Meghalaya 2009 Male 335 Meghalaya 2010 Female 138 Meghalaya 2010 Male 399 Meghalaya 2011 Female 209 Meghalaya 2011 Male 552 Meghalaya 2012 Female 190 Meghalaya 2012 Male 450 Mizoram 2001 Female 40 Mizoram 2001 Male 230 Mizoram 2002 Female 50 Mizoram 2002 Male 280 Mizoram 2003 Female 55 Mizoram 2003 Male 205 Mizoram 2004 Female 35 Mizoram 2004 Male 265 Mizoram 2005 Female 40 Mizoram 2005 Male 235 Mizoram 2006 Female 50 Mizoram 2006 Male 298 Mizoram 2007 Female 30 Mizoram 2007 Male 110 Mizoram 2008 Female 30 Mizoram 2008 Male 175 Mizoram 2009 Female 35 Mizoram 2009 Male 304 Mizoram 2010 Female 45 Mizoram 2010 Male 335 Mizoram 2011 Female 65 Mizoram 2011 Male 385 Mizoram 2012 Female 80 Mizoram 2012 Male 777 Nagaland 2001 Female 75 Nagaland 2001 Male 125 Nagaland 2002 Female 40 Nagaland 2002 Male 95 Nagaland 2003 Female 25 Nagaland 2003 Male 84 Nagaland 2004 Female 30 Nagaland 2004 Male 125 Nagaland 2005 Female 30 Nagaland 2005 Male 105 Nagaland 2006 Female 45 Nagaland 2006 Male 95 Nagaland 2007 Female 34 Nagaland 2007 Male 82 Nagaland 2008 Female 50 Nagaland 2008 Male 160 Nagaland 2009 Female 29 Nagaland 2009 Male 124 Nagaland 2010 Female 5 Nagaland 2010 Male 55 Nagaland 2011 Female 40 Nagaland 2011 Male 125 Nagaland 2012 Female 30 Nagaland 2012 Male 120 Odisha 2001 Female 9815 Odisha 2001 Male 10439 Odisha 2002 Female 8785 Odisha 2002 Male 13155 Odisha 2003 Female 8400 Odisha 2003 Male 13700 Odisha 2004 Female 8355 Odisha 2004 Male 12720 Odisha 2005 Female 8270 Odisha 2005 Male 12770 Odisha 2006 Female 8460 Odisha 2006 Male 11865 Odisha 2007 Female 9100 Odisha 2007 Male 12440 Odisha 2008 Female 8745 Odisha 2008 Male 15775 Odisha 2009 Female 8990 Odisha 2009 Male 12835 Odisha 2010 Female 9125 Odisha 2010 Male 12150 Odisha 2011 Female 10905 Odisha 2011 Male 15300 Odisha 2012 Female 10655 Odisha 2012 Male 14480 Puducherry 2001 Female 1030 Puducherry 2001 Male 1615 Puducherry 2002 Female 785 Puducherry 2002 Male 2050 Puducherry 2003 Female 970 Puducherry 2003 Male 1940 Puducherry 2004 Female 1004 Puducherry 2004 Male 1690 Puducherry 2005 Female 990 Puducherry 2005 Male 1700 Puducherry 2006 Female 885 Puducherry 2006 Male 1745 Puducherry 2007 Female 990 Puducherry 2007 Male 1595 Puducherry 2008 Female 865 Puducherry 2008 Male 1670 Puducherry 2009 Female 960 Puducherry 2009 Male 1630 Puducherry 2010 Female 875 Puducherry 2010 Male 1665 Puducherry 2011 Female 805 Puducherry 2011 Male 1980 Puducherry 2012 Female 845 Puducherry 2012 Male 1860 Punjab 2001 Female 1260 Punjab 2001 Male 1980 Punjab 2002 Female 550 Punjab 2002 Male 1985 Punjab 2003 Female 625 Punjab 2003 Male 2530 Punjab 2004 Female 645 Punjab 2004 Male 2580 Punjab 2005 Female 530 Punjab 2005 Male 2410 Punjab 2006 Female 810 Punjab 2006 Male 3050 Punjab 2007 Female 1075 Punjab 2007 Male 3160 Punjab 2008 Female 1130 Punjab 2008 Male 3215 Punjab 2009 Female 1060 Punjab 2009 Male 3175 Punjab 2010 Female 1005 Punjab 2010 Male 3595 Punjab 2011 Female 1055 Punjab 2011 Male 3775 Punjab 2012 Female 1230 Punjab 2012 Male 3920 Rajasthan 2001 Female 6180 Rajasthan 2001 Male 9795 Rajasthan 2002 Female 5780 Rajasthan 2002 Male 10460 Rajasthan 2003 Female 6360 Rajasthan 2003 Male 11945 Rajasthan 2004 Female 6195 Rajasthan 2004 Male 12430 Rajasthan 2005 Female 6599 Rajasthan 2005 Male 14290 Rajasthan 2006 Female 6765 Rajasthan 2006 Male 14550 Rajasthan 2007 Female 6415 Rajasthan 2007 Male 15770 Rajasthan 2008 Female 7820 Rajasthan 2008 Male 18010 Rajasthan 2009 Female 7770 Rajasthan 2009 Male 17555 Rajasthan 2010 Female 7775 Rajasthan 2010 Male 16825 Rajasthan 2011 Female 6660 Rajasthan 2011 Male 15080 Rajasthan 2012 Female 7970 Rajasthan 2012 Male 16135 Sikkim 2001 Female 160 Sikkim 2001 Male 310 Sikkim 2002 Female 120 Sikkim 2002 Male 263 Sikkim 2003 Female 185 Sikkim 2003 Male 340 Sikkim 2004 Female 210 Sikkim 2004 Male 278 Sikkim 2005 Female 235 Sikkim 2005 Male 310 Sikkim 2006 Female 235 Sikkim 2006 Male 490 Sikkim 2007 Female 190 Sikkim 2007 Male 420 Sikkim 2008 Female 355 Sikkim 2008 Male 1080 Sikkim 2009 Female 594 Sikkim 2009 Male 610 Sikkim 2010 Female 225 Sikkim 2010 Male 1175 Sikkim 2011 Female 385 Sikkim 2011 Male 531 Sikkim 2012 Female 425 Sikkim 2012 Male 480 Tamil Nadu 2001 Female 20810 Tamil Nadu 2001 Male 35640 Tamil Nadu 2002 Female 21219 Tamil Nadu 2002 Male 34915 Tamil Nadu 2003 Female 23590 Tamil Nadu 2003 Male 35770 Tamil Nadu 2004 Female 24465 Tamil Nadu 2004 Male 39730 Tamil Nadu 2005 Female 22845 Tamil Nadu 2005 Male 37535 Tamil Nadu 2006 Female 24360 Tamil Nadu 2006 Male 37545 Tamil Nadu 2007 Female 25620 Tamil Nadu 2007 Male 43435 Tamil Nadu 2008 Female 26910 Tamil Nadu 2008 Male 45215 Tamil Nadu 2009 Female 27321 Tamil Nadu 2009 Male 44511 Tamil Nadu 2010 Female 30045 Tamil Nadu 2010 Male 52760 Tamil Nadu 2011 Female 28405 Tamil Nadu 2011 Male 51410 Tamil Nadu 2012 Female 30895 Tamil Nadu 2012 Male 53740 Total (All India) 2001 Female 84384 Total (All India) 2001 Male 132628 Total (All India) 2002 Female 82170 Total (All India) 2002 Male 138664 Total (All India) 2003 Female 81260 Total (All India) 2003 Male 140442 Total (All India) 2004 Female 82092 Total (All India) 2004 Male 145302 Total (All India) 2005 Female 81996 Total (All India) 2005 Male 145832 Total (All India) 2006 Female 84820 Total (All India) 2006 Male 151404 Total (All India) 2007 Female 86684 Total (All India) 2007 Male 158590 Total (All India) 2008 Female 88946 Total (All India) 2008 Male 161088 Total (All India) 2009 Female 91360 Total (All India) 2009 Male 162942 Total (All India) 2010 Female 94838 Total (All India) 2010 Male 174360 Total (All India) 2011 Female 95492 Total (All India) 2011 Male 175678 Total (All India) 2012 Female 93984 Total (All India) 2012 Male 176906 Total (States) 2001 Female 82754 Total (States) 2001 Male 130196 Total (States) 2002 Female 80822 Total (States) 2002 Male 136176 Total (States) 2003 Female 79834 Total (States) 2003 Male 137810 Total (States) 2004 Female 80594 Total (States) 2004 Male 142712 Total (States) 2005 Female 80436 Total (States) 2005 Male 143168 Total (States) 2006 Female 83224 Total (States) 2006 Male 148406 Total (States) 2007 Female 85016 Total (States) 2007 Male 155598 Total (States) 2008 Female 87378 Total (States) 2008 Male 158426 Total (States) 2009 Female 89666 Total (States) 2009 Male 160074 Total (States) 2010 Female 93078 Total (States) 2010 Male 171374 Total (States) 2011 Female 93820 Total (States) 2011 Male 172130 Total (States) 2012 Female 92108 Total (States) 2012 Male 173226 Total (Uts) 2001 Female 1630 Total (Uts) 2001 Male 2432 Total (Uts) 2002 Female 1348 Total (Uts) 2002 Male 2488 Total (Uts) 2003 Female 1426 Total (Uts) 2003 Male 2632 Total (Uts) 2004 Female 1498 Total (Uts) 2004 Male 2590 Total (Uts) 2005 Female 1560 Total (Uts) 2005 Male 2664 Total (Uts) 2006 Female 1596 Total (Uts) 2006 Male 2998 Total (Uts) 2007 Female 1668 Total (Uts) 2007 Male 2992 Total (Uts) 2008 Female 1568 Total (Uts) 2008 Male 2662 Total (Uts) 2009 Female 1694 Total (Uts) 2009 Male 2868 Total (Uts) 2010 Female 1760 Total (Uts) 2010 Male 2986 Total (Uts) 2011 Female 1672 Total (Uts) 2011 Male 3548 Total (Uts) 2012 Female 1876 Total (Uts) 2012 Male 3680 Tripura 2001 Female 1955 Tripura 2001 Male 2315 Tripura 2002 Female 1430 Tripura 2002 Male 2461 Tripura 2003 Female 1780 Tripura 2003 Male 2440 Tripura 2004 Female 1685 Tripura 2004 Male 2165 Tripura 2005 Female 1570 Tripura 2005 Male 2005 Tripura 2006 Female 1685 Tripura 2006 Male 2140 Tripura 2007 Female 1430 Tripura 2007 Male 2095 Tripura 2008 Female 1550 Tripura 2008 Male 2210 Tripura 2009 Female 1354 Tripura 2009 Male 2335 Tripura 2010 Female 1420 Tripura 2010 Male 2205 Tripura 2011 Female 1280 Tripura 2011 Male 2235 Tripura 2012 Female 1420 Tripura 2012 Male 2800 Uttar Pradesh 2001 Female 8575 Uttar Pradesh 2001 Male 9005 Uttar Pradesh 2002 Female 9620 Uttar Pradesh 2002 Male 11630 Uttar Pradesh 2003 Female 8380 Uttar Pradesh 2003 Male 9935 Uttar Pradesh 2004 Female 8415 Uttar Pradesh 2004 Male 9770 Uttar Pradesh 2005 Female 8385 Uttar Pradesh 2005 Male 8860 Uttar Pradesh 2006 Female 6690 Uttar Pradesh 2006 Male 8805 Uttar Pradesh 2007 Female 9350 Uttar Pradesh 2007 Male 10260 Uttar Pradesh 2008 Female 9545 Uttar Pradesh 2008 Male 10895 Uttar Pradesh 2009 Female 9595 Uttar Pradesh 2009 Male 11195 Uttar Pradesh 2010 Female 9205 Uttar Pradesh 2010 Male 8935 Uttar Pradesh 2011 Female 10630 Uttar Pradesh 2011 Male 13565 Uttar Pradesh 2012 Female 9635 Uttar Pradesh 2012 Male 12472 Uttarakhand 2001 Female 645 Uttarakhand 2001 Male 910 Uttarakhand 2002 Female 780 Uttarakhand 2002 Male 1025 Uttarakhand 2003 Female 643 Uttarakhand 2003 Male 1310 Uttarakhand 2004 Female 445 Uttarakhand 2004 Male 740 Uttarakhand 2005 Female 465 Uttarakhand 2005 Male 900 Uttarakhand 2006 Female 765 Uttarakhand 2006 Male 865 Uttarakhand 2007 Female 588 Uttarakhand 2007 Male 650 Uttarakhand 2008 Female 435 Uttarakhand 2008 Male 513 Uttarakhand 2009 Female 700 Uttarakhand 2009 Male 1010 Uttarakhand 2010 Female 582 Uttarakhand 2010 Male 820 Uttarakhand 2011 Female 625 Uttarakhand 2011 Male 960 Uttarakhand 2012 Female 875 Uttarakhand 2012 Male 1245 West Bengal 2001 Female 30975 West Bengal 2001 Male 37475 West Bengal 2002 Female 29415 West Bengal 2002 Male 35620 West Bengal 2003 Female 29280 West Bengal 2003 Male 37120 West Bengal 2004 Female 28730 West Bengal 2004 Male 38305 West Bengal 2005 Female 32005 West Bengal 2005 Male 43070 West Bengal 2006 Female 33025 West Bengal 2006 Male 45600 West Bengal 2007 Female 31775 West Bengal 2007 Male 42525 West Bengal 2008 Female 32415 West Bengal 2008 Male 41845 West Bengal 2009 Female 30770 West Bengal 2009 Male 42470 West Bengal 2010 Female 33680 West Bengal 2010 Male 46505 West Bengal 2011 Female 34340 West Bengal 2011 Male 48120 West Bengal 2012 Female 18831 West Bengal 2012 Male 26040
Total Suicides in Punjab 2008 due to Cancer¶
In [27]:
#write your code here
data[ (data[...,0]=='Punjab') & (data[...,1]=='2008') & (data[...,3]=='Cancer')][...,6].astype('int').sum()
Out[27]:
2
Save Each State Data in Separate CSV File¶
In [28]:
#write your code here
#write your code here
for state in np.unique(data[...,0]):
STATE=data[data[...,0]==state]
np.savetxt(state+".csv",STATE,fmt='%s',delimiter=",")
Save Punjab Data Year Wise in separate CSV File¶
In [29]:
#write your code here
Punjab = data[data[...,0]=='Punjab']
for year in np.unique(Punjab[...,1]):
P_year = Punjab[Punjab[...,1]==year]
np.savetxt("Punjab_"+year+".csv",P_year,fmt='%s',delimiter=",")
