Update README.md
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README.md
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@@ -46,18 +46,16 @@ The structure of "./data/raw/" should be like:
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road-network/roads.csv records the road network of the five cities.
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data_with_trajectory_20s/* records the trajectory of courier
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```python
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import pandas as pd
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>>> import pandas as pd
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>>> df = pd.read_pickle("courier_detailed_trajectory_20s.pkl.xz")
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>>> df.head(
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ds postman_id gps_time lat lng
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0 321 106f5ac22cfd1574b196d16fed62f90d 03-21 07:31:58 3.953700e+06 3.053400e+06
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1 321 106f5ac22cfd1574b196d16fed62f90d 03-21 07:32:18 3.953700e+06 3.053398e+06
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2 321 106f5ac22cfd1574b196d16fed62f90d 03-21 07:32:41 3.953700e+06 3.053398e+06
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3 321 106f5ac22cfd1574b196d16fed62f90d 03-21 07:55:51 3.953700e+06 3.053398e+06
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4 321 106f5ac22cfd1574b196d16fed62f90d 03-21 08:31:42 3.953929e+06 3.052367e+06
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```
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Each sub-dataset (delivery, pickup) contains 5 CSV files, with each representing the data from a specific city, the detail of each city can be find in the following table.
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road-network/roads.csv records the road network of the five cities.
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data_with_trajectory_20s/* records the trajectory of courier.
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```python
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import pandas as pd
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>>> import pandas as pd
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>>> df = pd.read_pickle("courier_detailed_trajectory_20s.pkl.xz")
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>>> df.head(3)
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ds postman_id gps_time lat lng
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0 321 106f5ac22cfd1574b196d16fed62f90d 03-21 07:31:58 3.953700e+06 3.053400e+06
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1 321 106f5ac22cfd1574b196d16fed62f90d 03-21 07:32:18 3.953700e+06 3.053398e+06
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2 321 106f5ac22cfd1574b196d16fed62f90d 03-21 07:32:41 3.953700e+06 3.053398e+06
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```
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Each sub-dataset (delivery, pickup) contains 5 CSV files, with each representing the data from a specific city, the detail of each city can be find in the following table.
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