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I have an string in python (with float and integer numbers)
string = '44,44,44,33'
I want to calculate the mean of that.
Note: I have one large dataframe, and in one column of the dataframe, I have such a string. I want to calculate the mean for all rows. I hope I there is an efficient way for that.
Thanks
Spilt string, covert to integers, and calculate mean:
import statistics
result = statistics.mean(map(int, string.split(",")))
l = string.split(',')
average = sum(int(k) for k in l)/len(l)
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I have column with this kind of data:
I want to count how many times valu occur in a row. It is a string, so I want to convert this '63,63,63,63,63,63,63,63,63,63,63' to this ['63','63','63'...].
I there any way to do this quickly?
Thanks
if given string is s
l=s.split(',')
l is the required list
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I am struggling to multiply lists as matrices in Python.
I have two lists (weights and returns) and I need to multiply them as: weights*TRANSPOSE(returns).
How are Weights and Return defined in your code?
You might be able to do the following:
#This sums the entries
matrixProduct = 0
for i in range(len(Weights)):
matrixProduct+= Weights[i]*Return[i]
#In case you meant to keep products of individual pairs of matrix entries (not sure from your notation):
matrixProduct = []
for i in range(len(Weights)):
matrixProduct.append(Weights[i]*Return[i])
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I have a list of strings and I only want to keep the first 80% of text of each string. So, if a string has for example 100 words, I only want to keep the first 80 words. The split function is not suitable for this problem.
What function can I use, while iterating over the list, to achieve this?
Why isn't it?
sentence = "long string lots of words..."
parts = sentence.split()
newsentence = ' '.join(parts[:len(parts)*4//5])
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I'm wondering how I can calculate powers of a complex number without using the complex numbers data type. So I have a function
def Power_complex(re, im, n):
How can I calculate (re + im * i)^n with this? Thank you!
You can use the Biniomial theorem for arbitrary exponents, although positive integers is the easiest case.
Or you can treat the problem in polar coordinates (this link simply gives you the answer, only click if you really don't want to figure it out on your own)
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I'm trying to do an iteration with Pandas or any built-in function to display multiple of 10 rows for example.
So e.g. there are 50 records and I want to display the multiple of 10 records which will be record ID 0,10,20,30,40,50.
Use iloc:
df.iloc[::10, :]
This method takes a row/column slice, both based on integer position. More details from documenation:
Purely integer-location based indexing for selection by position.
.iloc[] is primarily integer position based (from 0 to length-1 of the axis), but may also be used with a boolean array.