[英]How do I make a dataframe in python, using different series?
I am trying to make a dataframe using two arrays that are listing average values. 我正在尝试使用列出平均值的两个数组制作一个数据框。 The other two sets of values I would like to incorporate are extracted from another dataset. 我要合并的其他两组值是从另一个数据集中提取的。
This is what I have tried: 这是我尝试过的:
column_a = data_set['column_1']
column_b = data_set['column_2']
df = pd.DataFrame([column_a, column_b, average_1, average_2])
print(df)
The output was strangely formatted: 输出格式奇怪:
0 1 2
column_a North Europe East Europe West Europe
average_1 143 100.755 175.1
average_2 297.9 171.21 227.55
column_b 79.265 60.8078 76.468
Is this what you're looking for? 这是您要找的东西吗?
import pandas as pd
d = ({
'column_a' : ['North Europe','East Europe','West Europe'],
'average_1' : [143, 100.755, 175.1],
'average_2' : [297.9, 171.21, 227.55 ],
'column_b' : [79.265, 60.8078, 76.468],
})
data_set = pd.DataFrame(d)
column_a = data_set['column_a']
column_b = data_set['column_b']
average_1 = data_set['average_1']
average_2 = data_set['average_2']
df = pd.DataFrame([column_a, column_b, average_1, average_2])
df = df.T
print(df)
column_a column_b average_1 average_2
0 North Europe 79.265 143 297.9
1 East Europe 60.8078 100.755 171.21
2 West Europe 76.468 175.1 227.55
Or you can use pd.concat
instead: 或者您可以使用pd.concat
代替:
import pandas as pd
d = ({
'column_a' : ['North Europe','East Europe','West Europe'],
'column_b' : [79.265, 60.8078, 76.468],
})
data_set1 = pd.DataFrame(d)
d = ({
'average_1' : [143, 100.755, 175.1],
'average_2' : [297.9, 171.21, 227.55],
})
data_set2 = pd.DataFrame(d)
column_a = data_set1['column_a']
column_b = data_set1['column_b']
average_1 = data_set2['average_1']
average_2 = data_set2['average_2']
df = pd.concat([column_a, column_b, average_1, average_2], axis = 1)
print(df)
column_a column_b average_1 average_2
0 North Europe 79.265 143 297.9
1 East Europe 60.8078 100.755 171.21
2 West Europe 76.468 175.1 227.55
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