pandas dataframe.describe() 抑制科学记数法
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dataframe.describe() suppress scientific notation
提问by mfabi
How do I suppress scientific notation output from dataframe.describe():
如何抑制 dataframe.describe() 的科学记数法输出：
contrib_df["AMNT"].describe()
count 1.979680e+05
mean 5.915134e+02
std 1.379618e+04
min -1.750000e+05
25% 4.000000e+01
50% 1.000000e+02
75% 2.500000e+02
max 3.000000e+06
Name: AMNT, dtype: float64
My data is of type float64:
我的数据是 float64 类型的：
contrib_df["AMNT"].dtypes
dtype('float64')
回答by Ash Upadhyay
contrib_df["AMNT"].describe().apply(lambda x: format(x, 'f'))
As the function describe returns a dataframe, what the above function does is, it simply formats each row to the regular format. I wrote this answer because I was having a though in my mind, that was Its pointless to get count of 95 as 95.00000e+01Also in our regular format its easier to compare.
由于函数 describe 返回一个数据帧，上面的函数所做的是，它只是将每一行格式化为常规格式。我写这个答案是因为我有一个想法，那就是 将 95 计数为 95.00000e+01 毫无意义，而且在我们的常规格式中，它更容易比较。
Before applying the above function we were getting
在应用上述函数之前，我们得到
count 9.500000e+01
mean 5.621943e+05
std 2.716369e+06
min 4.770000e+02
25% 2.118160e+05
50% 2.599960e+05
75% 3.121170e+05
max 2.670423e+07
Name: salary, dtype: float64
After applying, we get
申请后，我们得到
count 95.000000
mean 562194.294737
std 2716369.154553
min 477.000000
25% 211816.000000
50% 259996.000000
75% 312117.000000
max 26704229.000000
Name: salary, dtype: object
