我想在pandas框架中定位一个特定的行(给定其所有列的值).
df = pd.DataFrame(
columns = ["A", "B", "C"],
data = [
[1, 2, 3],
[4, 5, 6],
[7, 8, 9],
[10, 11, 12],
])
# row to find (last one)
row = {"A" : 10, "B" : 11, "C" : 12}
# chain
idx = df[(df["A"] == 10) & (df["B"] == 11) & (df["B"] == 11)].index[0]
print(idx)
# iterative
mask = pd.Series([True] * len(df))
for k, v in row.items():
mask &= (df[k] == v)
idx = df[mask].index[0]
print(idx)
# pandas series
for idx in df.index:
print(idx, (df.iloc[idx,:] == pd.Series(row)).all())
有没有更简单的方法？大约idx = df.find(row)？
通常需要此功能，例如在时间序列中定位一个特定样本.我不敢相信，没有直接的方法可以做到这一点.