pandas|DataFrame.append

文章目录

• • • 1. append dict
    • 2. append series
    • 3. append list
    • 4. append array
    • 5. append DataFrame

1. append dict

import pandas as pd

data = pd.DataFrame()
a = {"x":1,"y":2}
data = data.append(a,ignore_index=True)
print(data)

2. append series

    import pandas as pd

    data = pd.DataFrame()
    series = pd.Series({"x":1,"y":2},name="a")
    data = data.append(series)
    print(data)

3. append list

data = pd.DataFrame()
a = [1,2,3]
data = data.append(a)
print(data)

data = pd.DataFrame()
a = [[[1,2,3]]]
data = data.append(a)
print(data)

4. append array

data = pd.DataFrame()
a = [[1,2,3],[4,5,6]]
data = data.append(a)
a = [[7,8,9],[10,11,12]]
data = data.append(a)
print(data)

通过设置ignore_index=True来避免index重复

    data = pd.DataFrame()
    a = [[1,2,3],[4,5,6]]
    data = data.append(a,ignore_index=True)
    a = [[7,8,9],[10,11,12]]
    data = data.append(a,ignore_index=True)
    print(data)

5. append DataFrame

>>> df = pd.DataFrame([[1, 2], [3, 4]], columns=list('AB'))
>>> df
   A  B
0  1  2
1  3  4

>>> df2 = pd.DataFrame([[5, 6], [7, 8]], columns=list('AB'))
>>> df.append(df2)
   A  B
0  1  2
1  3  4
0  5  6
1  7  8

>>> df.append(df2, ignore_index=True)
   A  B
0  1  2
1  3  4
2  5  6
3  7  8