How can I append a pandas Series to a DataFrame?

Question

I realize this question has been asked before, but none of those seem to work for me. I have a series called state that looks like:

cash          17378.787327
num_shares      895.000000
cost_basis      102.153149
open_price      106.300003
close_10        108.889999
close_9         109.790001
close_8         109.209999
close_7         108.230003
close_6         109.330002
close_5         108.080002
close_4         106.910004
close_3         106.419998
close_2         104.410004
close_1         106.650002
dtype: float64

I want to append it to a DataFrame , so I have:

X = pd.DataFrame()
X.append(state)

But this gives an error TypeError: Can only append a Series if ignore_index=True or if the Series has a name , so I try:

X.append(state, ignore_index=True)

This doesn't actually append anything to X :

Empty DataFrame
Columns: []
Index: []

What am I doing incorrectly?

Answer 1

你应该可以只做 X['state'] = state

Answer 2

这就是我最终做的：

X = X.append([state], ignore_index=True)

Answer 3

不止一列是一个数据框，所以你可以试试这个：

X=pd.concat([X,state], axis=1)

Answer 4

Using

state.name=0
X = pd.DataFrame()
X.append(state)

Answer 5

Looks like you want both the labels and the values to be appended to the dataframe. You need to reset the Series index

state.reset_index()