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code sample for pandas-dev#39329 
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‎bisect/39329.py

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from datetime import datetime
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from math import nan
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import pandas as pd
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print(pd.__version__)
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def dt(datestr):
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return datetime.strptime(datestr, "%Y-%m-%d")
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df = pd.DataFrame(
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data={
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"Date_reported": {
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0: dt("2020-07-23"),
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1: dt("2020-07-24"),
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2: dt("2020-07-25"),
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3: dt("2020-07-26"),
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4: dt("2020-07-27"),
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5: dt("2020-07-28"),
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6: dt("2020-07-29"),
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7: dt("2020-07-30"),
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8: dt("2020-07-31"),
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9: dt("2020-08-01"),
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10: dt("2020-08-02"),
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11: dt("2020-08-03"),
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12: dt("2020-08-04"),
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13: dt("2020-08-05"),
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14: dt("2020-08-06"),
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15: dt("2020-07-23"),
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16: dt("2020-07-24"),
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17: dt("2020-07-25"),
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18: dt("2020-07-26"),
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19: dt("2020-07-27"),
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20: dt("2020-07-28"),
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21: dt("2020-07-29"),
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22: dt("2020-07-30"),
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23: dt("2020-07-31"),
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24: dt("2020-08-01"),
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25: dt("2020-08-02"),
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26: dt("2020-08-03"),
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27: dt("2020-08-04"),
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28: dt("2020-08-05"),
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29: dt("2020-08-06"),
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},
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"ISO_3_CODE": {
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0: "AFG",
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1: "AFG",
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2: "AFG",
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3: "AFG",
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4: "AFG",
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5: "AFG",
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6: "AFG",
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7: "AFG",
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8: "AFG",
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9: "AFG",
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10: "AFG",
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11: "AFG",
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12: "AFG",
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13: "AFG",
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14: "AFG",
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15: "H63",
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16: "H63",
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17: "H63",
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18: "H63",
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19: "H63",
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20: "H63",
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21: "H63",
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22: "H63",
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23: "H63",
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24: "H63",
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25: "H63",
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26: "H63",
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27: "H63",
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28: "H63",
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29: "H63",
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},
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"Cumulative_cases": {
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0: 35915,
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1: 35981,
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2: 36036,
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3: 36157,
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4: 36263,
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5: 36368,
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6: 36471,
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7: 36542,
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8: 36542,
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9: 36710,
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10: 36710,
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11: 36710,
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12: 36747,
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13: 36829,
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14: 36896,
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15: 47194,
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16: 47856,
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17: 48448,
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18: 48952,
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19: 49388,
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20: 49825,
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21: 50409,
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22: 51000,
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23: 51380,
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24: 51942,
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25: 52265,
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26: 52490,
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27: 52771,
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28: 53457,
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29: 53877,
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},
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"Regional_office": {
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0: "ROAP",
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1: "ROAP",
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2: "ROAP",
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3: "ROAP",
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4: "ROAP",
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5: "ROAP",
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6: "ROAP",
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7: "ROAP",
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8: "ROAP",
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9: "ROAP",
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10: "ROAP",
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11: "ROAP",
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12: "ROAP",
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13: "ROAP",
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14: "ROAP",
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15: nan,
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16: nan,
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17: nan,
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18: nan,
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19: nan,
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20: nan,
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21: nan,
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22: nan,
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23: nan,
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24: nan,
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25: nan,
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26: nan,
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27: nan,
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28: nan,
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29: nan,
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},
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}
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)
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result = df.groupby(["ISO_3_CODE"]).resample("W", on="Date_reported").min()
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print(result)

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