In [1]:
import pandas as pd
from pivottablejs import pivot_ui
In [13]:
df=pd.read_csv("2009-2059_ACT_Population.csv")
In [14]:
df.head()
Out[14]:
Sex
Age
Estimated 1971
Estimated 1972
Estimated 1973
Estimated 1974
Estimated 1975
Estimated 1976
Estimated 1977
Estimated 1978
...
Projected 2050
Projected 2051
Projected 2052
Projected 2053
Projected 2054
Projected 2055
Projected 2056
Projected 2057
Projected 2058
Projected 2059
0
Persons
0
3833
4049
4026
4280
4255
4157
4381
4300
...
6124
6142
6156
6165
6172
6176
6179
6182
6184
6188
1
Persons
1
3655
3983
4310
4292
4562
4378
4197
4395
...
6116
6139
6157
6171
6180
6187
6191
6194
6197
6199
2
Persons
2
3478
3789
4265
4592
4553
4803
4412
4221
...
6110
6138
6161
6179
6193
6202
6209
6213
6216
6219
3
Persons
3
3324
3583
4036
4533
4838
4739
4794
4427
...
6093
6127
6155
6178
6196
6210
6219
6226
6230
6233
4
Persons
4
3227
3420
3794
4260
4766
5033
4758
4765
...
6068
6107
6141
6169
6192
6210
6224
6233
6240
6244
5 rows × 91 columns
In [17]:
pivot_ui(df)
Out[17]:
In [ ]:
Content source: xianjunzhengbackup/code
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