我有以下 dataframe
,它是 for 循环的输出之一。
df = pd.DataFrame()
df['Score'] = [['0-0','1-1','2-2'],['0-0','1-1','2-2']]
df ['value'] =[[0.08,0.1,0.15],[0.07,0.12,0.06]]
df ['Team'] = ['A','B']
我想将每一行列表的每个元素转换为一列的每个元素。 以下是预期的输出。
谁能帮我改造一下?
谢谢,
齐普
最佳答案
使用np.concatenate :
import pandas as pd
import numpy as np
x = [['0-0','1-1','2-2'],['0-0','1-1','2-2']]
y = [[0.08,0.1,0.15],[0.07,0.12,0.06]]
z = ['A','B']
df = pd.DataFrame()
df['Score'] = np.concatenate(x)
df ['value'] = np.concatenate(y)
df['Team'] = np.repeat(z, len(df)/len(z))
print(df)
输出:
Score value Team
0 0-0 0.08 A
1 1-1 0.10 A
2 2-2 0.15 A
3 0-0 0.07 B
4 1-1 0.12 B
5 2-2 0.06 B
关于python - 如何转换每列的每一行中包含列表的数据框,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/54576302/