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Site Information¶
The data was collected from a stream guage placed on the Selway River in central idaho in the Nez Perce-Clearwater National Forest. This is a mountainous and sparcely populated region of Idaho which is the known for its largely untouched river corridors and mountain ecosystems.
29 b'agency_cd\tsite_no\tdatetime\t326226_00060_00003\t326226_00060_00003_cd' 30 b'5s\t15s\t20d\t14n\t10s' 31 b'USGS\t13336500\t1929-10-01\t520\tA' 32 b'USGS\t13336500\t1929-10-02\t520\tA' 33 b'USGS\t13336500\t1929-10-03\t520\tA' 34 b'USGS\t13336500\t1929-10-04\t520\tA'
| agency_cd | site_no | streamflow_cfs | code | |
|---|---|---|---|---|
| datetime | ||||
| 1929-10-01 | USGS | 13336500 | 520.0 | A |
| 1929-10-02 | USGS | 13336500 | 520.0 | A |
| 1929-10-03 | USGS | 13336500 | 520.0 | A |
| 1929-10-04 | USGS | 13336500 | 520.0 | A |
| 1929-10-05 | USGS | 13336500 | 520.0 | A |
| ... | ... | ... | ... | ... |
| 2023-08-28 | USGS | 13336500 | 601.0 | P |
| 2023-08-29 | USGS | 13336500 | 599.0 | P |
| 2023-08-30 | USGS | 13336500 | 709.0 | P |
| 2023-08-31 | USGS | 13336500 | 756.0 | P |
| 2023-09-01 | USGS | 13336500 | 663.0 | P |
34304 rows × 4 columns
| agency_cd | site_no | streamflow_cfs | code | |
|---|---|---|---|---|
| datetime | ||||
| 1947-10-01 | USGS | 13336500 | 907.0 | A |
| 1947-10-02 | USGS | 13336500 | 916.0 | A |
| 1947-10-03 | USGS | 13336500 | 2140.0 | A |
| 1947-10-04 | USGS | 13336500 | 2480.0 | A |
| 1947-10-05 | USGS | 13336500 | 1520.0 | A |
| ... | ... | ... | ... | ... |
| 1950-09-26 | USGS | 13336500 | 1080.0 | A |
| 1950-09-27 | USGS | 13336500 | 1350.0 | A |
| 1950-09-28 | USGS | 13336500 | 1100.0 | A |
| 1950-09-29 | USGS | 13336500 | 934.0 | A |
| 1950-09-30 | USGS | 13336500 | 870.0 | A |
1096 rows × 4 columns
/opt/conda/lib/python3.10/site-packages/holoviews/core/data/pandas.py:39: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]` return dataset.data.dtypes[idx].type /opt/conda/lib/python3.10/site-packages/holoviews/core/data/pandas.py:39: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]` return dataset.data.dtypes[idx].type
| streamflow_cfs | |
|---|---|
| datetime | |
| 1929-01-01 | 2470.0 |
| 1930-01-01 | 14600.0 |
| 1931-01-01 | 16400.0 |
| 1932-01-01 | 27900.0 |
| 1933-01-01 | 31200.0 |
| ... | ... |
| 2019-01-01 | 25800.0 |
| 2020-01-01 | 28100.0 |
| 2021-01-01 | 20900.0 |
| 2022-01-01 | 28000.0 |
| 2023-01-01 | 23000.0 |
95 rows × 1 columns
Selway River streamflows have decreased on average since the record high flows in May 1948¶
/opt/conda/lib/python3.10/site-packages/holoviews/core/data/pandas.py:39: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]` return dataset.data.dtypes[idx].type /opt/conda/lib/python3.10/site-packages/holoviews/core/data/pandas.py:39: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]` return dataset.data.dtypes[idx].type
Data Source¶
This data was collected by the US Geological Survey and was requested from the National Water information System online platform. It provided the historical records from the stream guage On the Selway River near Lowell Idaho. 2. National Water Information System, USGS.https://dashboard.waterdata.usgs.gov/app/nwd/en/?aoi%253Ddefault