Performing calculations in python using excel values-CodePudding

I'm trying to do some calculations in python using an excel with several rows and using 3 columns. I'm using the columns 'Band' and 'Antenna_Heigh' and I would like to save these values in the column 'Colors'. My code looks like this but I have an error saying 'list assignment index out of range'.

madrid = pd.read_excel('Madrid.xlsx')

ch = []

d=[]
  
L = 8.4

for i in range(0, len(madrid)):

    ch[i] = 0.8   (1.1*math.log10(madrid['Band'][i]) - 0.7)*madrid['Antenna_Height'][i] - 1.56*math.log10(madrid['Band'][i])

    d[i] = ((L - 69.55 - 26.16*math.log10(madrid['Band'][i])   13.82*math.log10(madrid['Antenna_Height'][i])   ch[i])/(44.9 - 6.55*math.log10(madrid['Antenna_Height'][i])))**10

    madrid['Colors'][i] = d[i]

CodePudding user response：

The list ch is empty, so calling any element index like ch[0] or ch[1] will result in error "list index out of range"

I see you're trying to append to the various lists. You can try (but I'm not sure about the formula, please check them)

import math

madrid = pd.read_excel('Madrid.xlsx')
ch = []
d=[]
L = 8.4

for i in range(0, len(madrid)):
    ch_temp = 0.8   (1.1*math.log10(madrid['Band'][i]) - 0.7)*madrid['Antenna_Height'][i] - 1.56*math.log10(madrid['Band'][i])
    ch.append(ch_temp)
    d_temp = ((L - 69.55 - 26.16*math.log10(madrid['Band'][i])   13.82*math.log10(madrid['Antenna_Height'][i])   ch[i])/(44.9 - 6.55*math.log10(madrid['Antenna_Height'][i])))**10
    d.append(d_temp)
    madrid['Colors'][i] = d[i]

print(madrid)

Output:

   Band  Antenna_Height      Colors
0     1               3   18.262619
1     2               3   62.881852
2     3               3  121.442224
3     4               3  188.948366
4     5               3  262.794745
5     6               3  341.404788

CodePudding user response：

The pandas' way of applying a function to many rows is with pd.apply. I'm using index=1 to get the values horizontally through both columns 'Antenna_Height' and 'Band':

def get_color(row):
    L = 8.4
    ch = 0.8   (1.1*math.log10(row['Band']) - 0.7)*row['Antenna_Height'] - 1.56*math.log10(row['Band'])
    d = ((L - 69.55 - 26.16*math.log10(row['Band'])   13.82*math.log10(row['Antenna_Height'])   ch)/(44.9 - 6.55*math.log10(row['Antenna_Height'])))**10
    return d

madrid['Color'] = madrid.apply(get_color, axis = 1)

This is not necessarily faster, but in general makes the intention of the code more obvious.