'float' object 不可下标。 循环并保存到 csv 错误

Question

I want to loop over some list object, and to save the result to .csv file.

When I run my code:

    for i in dfxz:
           meanVal = np.mean(dfxz[i])
           varianceVal = np.var(dfxz[i])
           skewVal = skew(dfxz[i])
           kurtVal = kurtosis(dfxz[i])
       
           try:
               csv = open('tabel.csv', 'a')
               csv.write(
                   str(meanVal) + ',' + str(varianceVal) + ',' + str(skewVal[0]) + ',' + str(kurtVal[0]) + ',' + '1' + '\n'
            )
           except IOError as error:
               print('failed to print', error)
        
           csv.close()

I receive the following error message:

TypeError                                 Traceback (most recent call last) <ipython-input-12-4c672d5a979c> in <module>
      8         csv = open('tabel.csv', 'a')
      9         csv.write(
---> 10             str(meanVal) + ',' + str(varianceVal) + ',' + str(skewVal[0]) + ',' + str(kurtVal[0]) + ',' + '1' + '\n'
     11         )
     12     except IOError as error:

TypeError: 'float' object is not subscriptable

I already converted my pandas.DataFrame into int values from float , but with no avail.

What do I do wrong?

Answer 1

Here:

meanVal = np.mean(dfxz[i])
varianceVal = np.var(dfxz[i])
skewVal = skew(dfxz[i])
kurtVal = kurtosis(dfxz[i])

you extract the values from the list, and here:

... str(skewVal[0]) ...

and here:

... str(kurtVal[0]) ...

you try to extract a value in the position 0 from value, so you receive the aforementioned exception.

Cheers.