/ Python And R Data science skills: 20 DS Python Program part 02 telugu

Sunday 4 February 2018

20 DS Python Program part 02 telugu

20 profit after tax for each month
In [3]:
mi= [14574.49, 7606.46, 8611.41, 9175.41, 8058.65, 8105.44, 11496.28, 9766.09, 10305.32, 14379.96, 10713.97, 15433.50]
me = [12051.82, 5695.07, 12319.20, 12089.72, 8658.57, 840.20, 3285.73, 5821.12, 6976.93, 16618.61, 10054.37, 3803.96]
In [4]:
mi
Out[4]:
[14574.49,
 7606.46,
 8611.41,
 9175.41,
 8058.65,
 8105.44,
 11496.28,
 9766.09,
 10305.32,
 14379.96,
 10713.97,
 15433.5]
In [5]:
me
Out[5]:
[12051.82,
 5695.07,
 12319.2,
 12089.72,
 8658.57,
 840.2,
 3285.73,
 5821.12,
 6976.93,
 16618.61,
 10054.37,
 3803.96]
In [29]:
mp=mi-me
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-29-678f740ac19a> in <module>()
----> 1 mp=mi-me

TypeError: unsupported operand type(s) for -: 'list' and 'list'
In [6]:
mp=list([])
In [31]:
mp
Out[31]:
[]
In [7]:
for i in range(0,len(mi)):
    mp.append(mi[i]-me[i])
In [34]:
mp
Out[34]:
[2522.67,
 1911.3900000000003,
 -3707.790000000001,
 -2914.3099999999995,
 -599.9200000000001,
 7265.24,
 8210.550000000001,
 3944.9700000000003,
 3328.3899999999994,
 -2238.6500000000015,
 659.5999999999985,
 11629.54]
In [39]:
mpro=mi.copy()
In [40]:
for i in range(0,len(mi)):
    mpro[i]=mi[i]-me[i]
In [41]:
mpro
Out[41]:
[2522.67,
 1911.3900000000003,
 -3707.790000000001,
 -2914.3099999999995,
 -599.9200000000001,
 7265.24,
 8210.550000000001,
 3944.9700000000003,
 3328.3899999999994,
 -2238.6500000000015,
 659.5999999999985,
 11629.54]
In [20]:
mpt=list([])

profit after tax for each month (the tax rate is 30%)

In [21]:
for i in range(0,len(mp)):
    mpt.append(mp[i]-mp[i]* 0.3)
In [22]:
mpt
Out[22]:
[1765.8690000000001,
 1337.9730000000004,
 -2595.4530000000004,
 -2040.0169999999998,
 -419.9440000000001,
 5085.668,
 5747.385,
 2761.4790000000003,
 2329.8729999999996,
 -1567.0550000000012,
 461.719999999999,
 8140.678000000001]
In [13]:
mpt
Out[13]:
[756.801,
 573.417,
 -1112.3370000000002,
 -874.2929999999998,
 -179.97600000000003,
 2179.5719999999997,
 2463.1650000000004,
 1183.491,
 998.5169999999998,
 -671.5950000000004,
 197.87999999999957,
 3488.862]
In [14]:
mpat=list([])
In [15]:
for i in range(0,len(mp)):
    mpat.append(mp[i]-mpt[i])
In [16]:
mpat
Out[16]:
[1765.8690000000001,
 1337.9730000000004,
 -2595.4530000000004,
 -2040.0169999999998,
 -419.9440000000001,
 5085.668,
 5747.385,
 2761.4790000000003,
 2329.8729999999996,
 -1567.0550000000012,
 461.719999999999,
 8140.678000000001]
In [23]:
mp
Out[23]:
[2522.67,
 1911.3900000000003,
 -3707.790000000001,
 -2914.3099999999995,
 -599.9200000000001,
 7265.24,
 8210.550000000001,
 3944.9700000000003,
 3328.3899999999994,
 -2238.6500000000015,
 659.5999999999985,
 11629.54]
In [24]:
mpat
Out[24]:
[1765.8690000000001,
 1337.9730000000004,
 -2595.4530000000004,
 -2040.0169999999998,
 -419.9440000000001,
 5085.668,
 5747.385,
 2761.4790000000003,
 2329.8729999999996,
 -1567.0550000000012,
 461.719999999999,
 8140.678000000001]

No comments:

Post a Comment