I'm getting crazy with that. I don't know why is not working well.
My loop is the following:
for f in tqdm.tqdm(frames[::10]):
col.set_state_from_frame(f)
vertices = generate_dataframe(col)
print(f)
print(vertices)
v_df.append(vertices)
v_df = pd.concat(v_df,keys=frames[::10])
In the first print I obtain:
0
x y coordination charge dx dy
0 -28.384776 -56.769553 3 -1 1.0 -2.0
1 1107.006276 1021.851947 3 -1 -1.0 -2.0
2 1050.236724 1050.236724 2 0 -1.0 1.0
3 965.082395 709.619408 3 -3 0.0 1.0
4 823.158513 1021.851947 3 3 -1.0 0.0
... ... ... ... ... ... ...
1232 1107.006276 709.619408 2 0 -1.0 1.0
1233 652.849855 -85.154329 2 0 1.0 1.0
1234 -28.384776 936.697618 2 -2 1.0 1.0
1235 -28.384776 823.158513 2 2 -1.0 -1.0
1236 -28.384776 766.388960 2 0 -1.0 -1.0
[1237 rows x 6 columns]
10
x y coordination charge dx dy
0 -28.384776 -56.769553 3 -1 1.0 -2.0
1 1107.006276 1021.851947 3 -1 -1.0 -2.0
2 1050.236724 1050.236724 2 0 -1.0 1.0
3 965.082395 709.619408 3 -3 0.0 1.0
4 823.158513 1021.851947 3 3 -1.0 0.0
... ... ... ... ... ... ...
1232 1107.006276 709.619408 2 0 -1.0 1.0
1233 652.849855 -85.154329 2 0 1.0 1.0
1234 -28.384776 936.697618 2 -2 1.0 1.0
1235 -28.384776 823.158513 2 2 -1.0 -1.0
1236 -28.384776 766.388960 2 0 -1.0 -1.0
[1237 rows x 6 columns]
20
x y coordination charge dx dy
0 -28.384776 -56.769553 3 -1 1.0 -2.0
1 1107.006276 1021.851947 3 -1 -1.0 -2.0
2 1050.236724 1050.236724 2 0 -1.0 1.0
3 965.082395 709.619408 3 -3 0.0 1.0
4 823.158513 1021.851947 3 3 -1.0 0.0
... ... ... ... ... ... ...
1232 1107.006276 709.619408 2 0 -1.0 1.0
1233 652.849855 -85.154329 2 0 1.0 1.0
1234 -28.384776 936.697618 2 0 -1.0 1.0
1235 -28.384776 823.158513 2 2 -1.0 -1.0
1236 -28.384776 766.388960 2 0 -1.0 -1.0
[1237 rows x 6 columns]
30
x y coordination charge dx dy
0 -28.384776 -56.769553 3 -1 1.0 -2.0
1 1107.006276 1021.851947 3 -1 -1.0 -2.0
2 1050.236724 1050.236724 2 0 -1.0 1.0
3 965.082395 709.619408 3 -1 2.0 1.0
4 823.158513 1021.851947 3 3 -1.0 0.0
... ... ... ... ... ... ...
1232 1107.006276 709.619408 2 0 -1.0 1.0
1233 652.849855 -85.154329 2 0 1.0 1.0
1234 -28.384776 936.697618 2 0 -1.0 1.0
1235 -28.384776 823.158513 2 0 -1.0 1.0
1236 -28.384776 766.388960 2 0 -1.0 -1.0
But when I show the following dataframe value:
v_df.loc[0]
I obtain:
x y coordination charge dx dy
0 -28.384776 -56.769553 3 -1 1.0 -2.0
1 1107.006276 1021.851947 3 -1 -1.0 -2.0
2 1050.236724 1050.236724 2 0 -1.0 1.0
3 965.082395 709.619408 3 -1 2.0 1.0
4 823.158513 1021.851947 3 3 -1.0 0.0
... ... ... ... ... ... ...
1232 1107.006276 709.619408 2 0 -1.0 1.0
1233 652.849855 -85.154329 2 0 1.0 1.0
1234 -28.384776 936.697618 2 0 -1.0 1.0
1235 -28.384776 823.158513 2 0 -1.0 1.0
1236 -28.384776 766.388960 2 0 -1.0 -1.0
[1237 rows x 6 columns]
So it seems that is only concatenating the last value.
PD: See charge column in order to see differences between dataframes.
Thank you so much!
CodePudding user response：
You are using v_df.loc[0] so it only shows the df with key 0. I think if you print v_df it will show all of them.