Is it possible download IMERG precipitation data as a timeseries in csv?

[j-christie-geo]

Hello geemap community,

Relative novice here, looking for some assistance/guidance.

I need to acquire IMERG precipitation data, at full temporal resolution (i.e., half-hourly), for one or only a few pixels over a small AOI for the full length of the record (2001 to present). I know IMERG is available on GEE, so wondered, is this type of pixel level time series extraction possible using geemap? If so, I'd be so grateful for some pointers.

Thanks

[giswqs]

See
https://geemap.org/notebooks/12_zonal_statistics/
https://geemap.org/notebooks/43_extract_values_to_points/

[j-christie-geo]

I see how both of these could be used to obtain data from a single scene, but how can I use this to extract a time series of so many dates efficiently?

[giswqs]

Turn the time series into an image.

image = collection.toBands()

[j-christie-geo]

With a little help from an AI friend I found a solution to this problem, in case anyone else has the same question!

###### EXTRACT IMERG PRECIPITATION TIME SERIES FROM SINGLE PIXEL (GOOGLE EARTH ENGINE - PYTHON) ######

### Load IMERG dataset
collection = ee.ImageCollection("NASA/GPM_L3/IMERG_V07") \
    .filterDate('2000-06-01', '2025-01-01') \
    .select('precipitation') \
    .filterBounds(point)

### Function to reduce to point value and add date as property
def extract_value(img):
    value = img.reduceRegion(
        reducer=ee.Reducer.first(),  # single pixel
        geometry=point,
        scale=10000
    )
    return ee.Feature(None, {
        'precip': value.get('precipitation'),
        'date': img.date().format('YYYY-MM-DD HH:MM')
    })

### Map the function over the collection
features = collection.map(extract_value)

### Export to CSV as a list of features
feature_collection = ee.FeatureCollection(features)

### Get the data into Python
data = geemap.ee_to_df(feature_collection)

### Export to CSV
data.to_csv('imerg_monthly_timeseries.csv', index=False)