熊猫：计算两个数据框之间的总百分比差异

Question

I have two dataframes. I want to figure out the total percent difference For example:

DataFrame1

A
1
2
3
4

DataFrame2

B
1
3
3
4

Total percentage the same = 75%

Answer 1

Try:

df1.eq(df2.values).mean()

Output:

A    0.75
dtype: float64

Answer 2

from your example DataFrame1 and 2 are df1, df2 here:

import pandas as pd

df1=pd.DataFrame([1,2,3,4], columns=['A'])
df2=pd.DataFrame([1,3,3,4], columns=['B'])

print('%.f %%' % (100 * (df1.values == df2.values).sum() / df1.size))

it prints 75%

explanation is this:

(df1.values == df2.values).sum()

is the number of equal values in the vectors. So it's 3 in your example

and

df1.size

is the length of the vector. So 4, in your example

Answer 3

dataframe1 = open("dataframe1.txt")
dataframe2 = open("dataframe2.txt")
data1 = []
data2 = []

counter=0
for i in dataframe1:
    data1.append(i)
for i in dataframe2:
    data2.append(i)
for i in range(len(data1)):
    if data1[i] == data2[i]:
    counter += 1
print("Total percentage the same = ",round((counter/len(data1))*100),"%")

You will need to put your data in a txt file as it is named or even chane it if you want. Also you can just type it in in data1 and data2 as you want.