[英]How to save outputs of for loop into a dataframe in Jupyter
I have a for loop as follow:我有一个for循环如下:
Region = ['A', 'B', 'C', 'D', 'E']
i = 5
for Region in Region:
rr = q * s.at[i+1, 'Value']
tt = w * s.at[i+1, 'Value']
yy = e * s.at[i+1, 'Value']
print(Region, rr, tt, yy)
i +=1
which its result is like:它的结果是这样的:
A 2 5 3一个 2 5 3
B 6 2 117乙 6 2 117
C 23 875 42 C 23 875 42
D 71 26 125电话 71 26 125
E 65 24 11 65 24 11
How can I save its outputs in a dataframe?如何将其输出保存在 dataframe 中?
Try pandas.DataFrame()
method from pandas library Ref .尝试 pandas 库参考中的
pandas.DataFrame()
方法。 If you're new to pandas, check Getting started guide .如果您不熟悉 pandas,请查看入门指南。 You will need to create a dictionary, such as:
您将需要创建一个字典,例如:
{"A": {"rr":2, "tt":5, "yy":3},
"B": {"rr":6, "tt":2, "yy":117}}
Constructing dataframe with this dictionary will turn keys A
and B
into columns and rr
, tt
and yy
into rows.使用此字典构造 dataframe 会将键
A
和B
转换为列,并将rr
、 tt
和yy
转换为行。 You can always apply pandas.Dataframe.transpose()
method to the dataframe object to convert columns into rows and vice-versa Ref您始终可以将
pandas.Dataframe.transpose()
方法应用于 dataframe ZA8CFDE63311C69EB2ACZReftoB9 列转换为149EB2ACZReftoB9行,反之亦然
import pandas as pd
#create empty dictionary
d={}
Region = ['A', 'B', 'C', 'D', 'E']
i = 5
for Region in Region:
rr = q * s.at[i+1, 'Value']
tt = w * s.at[i+1, 'Value']
yy = e * s.at[i+1, 'Value']
print(Region, rr, tt, yy)
i +=1
#store data in dictionary
d[Region] = {"rr":rr, "tt":tt, "yy":yy}
#convert dictionary to dataframe
df = pd.DataFrame(d)
#transpose, if you want
df.transpose()
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