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xmACIS2Py

ANNOUNCEMENT: xmACIS2Py < 2.0 is now depreciated and replaced with xmACIS2Py >= 2.0

xmACIS2Py 2.0 Documentation and Jupyter Lab Tutorial

xmACIS2Py < 2.0 (Legacy) Documentation and Jupyter Lab Tutorials Jupyter Lab Tutorials

1. In this example we will make 30 and 90-day temperature and precipitation summaries for KRAL - click here
2. In this example we will use a custom date range (via changing the optional arguments) and make a temperature and precipitation graphic for PASN (This also is an example with missing data!") - click here
3. In this example we will remove the running mean from a temperature summary (via changing the optional arguments) for KJFK - click here
4. In this example we will add the running sum to a precipitation summary graphic (via changing the optional arguments) for KRAL - click here
5. In this example we will plot the maximum temperature summary for KLAX - click here
6. In this example we will plot the minimum temperature summary for KONT - click here
7. In this example we will plot the average temperature summary for KSTC - click here
8. In this example we will plot the average temperature departure summary for KSTC - click here
9. In this example we will plot the heating degree days summary for KRAL - click here
10. In this example we will plot the cooling degree days summary for KBRO - click here
11. In this example we will plot the growing degree days summary for KBRO - click here

Documentation

plot_temperature_summary(station, product_type)

This function plots a graphic showing the Temperature Summary for a given station for a given time period.

Required Arguments:

1. station (String) - The identifier of the ACIS2 station.

2. product_type (String or Integer) - The type of product. 'Past 7 Days' as a string or enter 7 for the same result. A value of 'custom' or 'Custom' will result in the user entering a custom start/stop date.

Optional Arguments:

1. start_date (String) - Default=None. Enter the start date as a string (i.e. 01-01-2025)

2. end_date (String) - Default=None. Enter the end date as a string (i.e. 01-01-2025)

3. show_running_mean (Boolean) - Default = True. When set to False, running means will be hidden

plot_precipitation_summary(station, product_type)

This function plots a graphic showing the Precipitation Summary for a given station for a given time period.

Required Arguments:

1. station (String) - The identifier of the ACIS2 station.

2. product_type (String or Integer) - The type of product. 'Past 7 Days' as a string or enter 7 for the same result. A value of 'custom' or 'Custom' will result in the user entering a custom start/stop date.

Optional Arguments:

1. start_date (String) - Default=None. Enter the start date as a string (i.e. 01-01-2025)

2. end_date (String) - Default=None. Enter the end date as a string (i.e. 01-01-2025)

3. show_running_sum (Boolean) - Default = False. When set to True, running sums will be shown

plot_maximum_temperature_summary(station, product_type)

This function plots a graphic showing the Maximum Temperature Summary for a given station for a given time period.

Required Arguments:

1. station (String) - The identifier of the ACIS2 station.

2. product_type (String or Integer) - The type of product. 'Past 7 Days' as a string or enter 7 for the same result. A value of 'custom' or 'Custom' will result in the user entering a custom start/stop date.

Optional Arguments:

1. start_date (String) - Default=None. Enter the start date as a string (i.e. 01-01-2025)

2. end_date (String) - Default=None. Enter the end date as a string (i.e. 01-01-2025)

3. show_running_mean (Boolean) - Default = True. When set to False, running means will be hidden

plot_minimum_temperature_summary(station, product_type)

This function plots a graphic showing the Minimum Temperature Summary for a given station for a given time period.

Required Arguments:

1. station (String) - The identifier of the ACIS2 station.

2. product_type (String or Integer) - The type of product. 'Past 7 Days' as a string or enter 7 for the same result. A value of 'custom' or 'Custom' will result in the user entering a custom start/stop date.

Optional Arguments:

1. start_date (String) - Default=None. Enter the start date as a string (i.e. 01-01-2025)

2. end_date (String) - Default=None. Enter the end date as a string (i.e. 01-01-2025)

3. show_running_mean (Boolean) - Default = True. When set to False, running means will be hidden

plot_average_temperature_summary(station, product_type)

This function plots a graphic showing the Average Temperature Summary for a given station for a given time period.

Required Arguments:

1. station (String) - The identifier of the ACIS2 station.

2. product_type (String or Integer) - The type of product. 'Past 7 Days' as a string or enter 7 for the same result. A value of 'custom' or 'Custom' will result in the user entering a custom start/stop date.

Optional Arguments:

1. start_date (String) - Default=None. Enter the start date as a string (i.e. 01-01-2025)

2. end_date (String) - Default=None. Enter the end date as a string (i.e. 01-01-2025)

3. show_running_mean (Boolean) - Default = True. When set to False, running means will be hidden

plot_average_temperature_departure_summary(station, product_type)

This function plots a graphic showing the Average Temperature Departure Summary for a given station for a given time period.

Required Arguments:

1. station (String) - The identifier of the ACIS2 station.

2. product_type (String or Integer) - The type of product. 'Past 7 Days' as a string or enter 7 for the same result. A value of 'custom' or 'Custom' will result in the user entering a custom start/stop date.

Optional Arguments:

1. start_date (String) - Default=None. Enter the start date as a string (i.e. 01-01-2025)

2. end_date (String) - Default=None. Enter the end date as a string (i.e. 01-01-2025)

3. show_running_mean (Boolean) - Default = True. When set to False, running means will be hidden

plot_hdd_summary(station, product_type)

This function plots a graphic showing the Heating Degree Days Summary for a given station for a given time period.

Required Arguments:

1. station (String) - The identifier of the ACIS2 station.

2. product_type (String or Integer) - The type of product. 'Past 7 Days' as a string or enter 7 for the same result. A value of 'custom' or 'Custom' will result in the user entering a custom start/stop date.

Optional Arguments:

1. start_date (String) - Default=None. Enter the start date as a string (i.e. 01-01-2025)

2. end_date (String) - Default=None. Enter the end date as a string (i.e. 01-01-2025)

3. show_running_mean (Boolean) - Default = True. When set to False, running means and sums will be hidden

plot_cdd_summary(station, product_type)

This function plots a graphic showing the Cooling Degree Days Summary for a given station for a given time period.

Required Arguments:

1. station (String) - The identifier of the ACIS2 station.

2. product_type (String or Integer) - The type of product. 'Past 7 Days' as a string or enter 7 for the same result. A value of 'custom' or 'Custom' will result in the user entering a custom start/stop date.

Optional Arguments:

1. start_date (String) - Default=None. Enter the start date as a string (i.e. 01-01-2025)

2. end_date (String) - Default=None. Enter the end date as a string (i.e. 01-01-2025)

3. show_running_mean (Boolean) - Default = True. When set to False, running means and sums will be hidden

plot_gdd_summary(station, product_type)

This function plots a graphic showing the Growing Degree Days Summary for a given station for a given time period.

Required Arguments:

1. station (String) - The identifier of the ACIS2 station.

2. product_type (String or Integer) - The type of product. 'Past 7 Days' as a string or enter 7 for the same result. A value of 'custom' or 'Custom' will result in the user entering a custom start/stop date.

Optional Arguments:

1. start_date (String) - Default=None. Enter the start date as a string (i.e. 01-01-2025)

2. end_date (String) - Default=None. Enter the end date as a string (i.e. 01-01-2025)

3. show_running_mean (Boolean) - Default = True. When set to False, running means and sums will be hidden

References

1. xmACIS2: https://www.rcc-acis.org/docs_webservices.html

2. MetPy: May, R. M., Goebbert, K. H., Thielen, J. E., Leeman, J. R., Camron, M. D., Bruick, Z., Bruning, E. C., Manser, R. P., Arms, S. C., and Marsh, P. T., 2022: MetPy: A Meteorological Python Library for Data Analysis and Visualization. Bull. Amer. Meteor. Soc., 103, E2273-E2284, https://doi.org/10.1175/BAMS-D-21-0125.1.

3. NumPy: Harris, C.R., Millman, K.J., van der Walt, S.J. et al. Array programming with NumPy. Nature 585, 357–362 (2020). DOI: 10.1038/s41586-020-2649-2. (Publisher link).

4. Pandas: Pandas: McKinney, W., & others. (2010). Data structures for statistical computing in python. In Proceedings of the 9th Python in Science Conference (Vol. 445, pp. 51–56).

5. WxData: Eric J. Drewitz. (2025). edrewitz/WxData: WxData 1.1.4 Released (WxData1.1.4). Zenodo. https://doi.org/10.5281/zenodo.17862030