xmACIS2Py 2.4

xmACIS2Py 2.4

xmACIS2Py 2.4

(C) Eric J. Drewitz 2025-2026

Documentation & Jupyter Lab Examples

New Features

1. xmacis2py.get_single_station_climate_normals() - New client that retrieves the 30-year climate normals for a user-specified ACIS2 station.

2. xmacis2py.get_multi_station_climate_normals() - New client that retrieves the 30-year climate normals for a list of user-specified ACIS2 stations.

3. xmacis2py.get_single_station_departures() - New client that retrieves the departures from normal for a user-specified ACIS2 station.

4. xmacis2py.get_multi_station_departures() - New client that retrieves the departures from normal for a list of user-specified ACIS2 stations.

5. xmacis2py.analysis.calculate_daily_normals() - Calculates the daily climatological normals for a user-specified period. The normals stores in the ACIS database are smoothed out. For users who either want the day-to-day fluctuations in the normals and/or wish to calculate normals on a different period than 01-01-1991 - 12-31-2020, this is the tool for you to use.

6. xmacis2py.analysis.filter_analog_years() - Filters the data for a given station into user-specified analogs.

7. xmacis2py.analysis.analog_weighted_mean() - Calculates the weighted mean for a Pandas.DataFrame consisting of a set of analogs.

8. xmacis2py.analysis.analog_weighted_percentile() - Calculates the weighted percentile (percentile is specified by the user) for a Pandas.DataFrame consisting of a set of analogs.

Improvements

Nothing at this time.

Bug Fixes

1. Fixed the multi-station data not returning a list of Pandas.DataFrames.

xmACIS2Py 2.3

xmACIS2Py 2.3

xmACIS2Py 2.3

(C) Eric J. Drewitz 2025-2026

Documentation & Jupyter Lab Examples

New Features

1. xmacis2py.get_multi_station_data() - New client that retrieves daily data for a list of ACIS2 stations.

2. xmacis2py.single_station_meta() - Retrieve the meta-data for a single ACIS2 station.

3. xmacis2py.multi_station_meta() - Retrieve the meta-data for a list of ACIS2 stations.

Improvements

Nothing at this time.

Bug Fixes

Nothing at this time.

xmACIS2Pyv2.2.3

xmACIS2Py 2.2.3

xmACIS2Py 2.2.3

(C) Eric J. Drewitz 2025-2026

Documentation & Jupyter Lab Examples

New Features

Nothing at this time

Improvements

1. Added return_pandas_df=True as an optional argument inside get_data(). This can be useful for those who wish to download CSV files but not create a Pandas.DataFrame automatically each time.

Bug Fixes

1. Fixed the bug in get_data() that caused errors when invalid characters were inside of the dataset.

xmACIS2Py 2.2.2 Released

xmACIS2Py 2.2.2

xmACIS2Py 2.2.2

(C) Eric J. Drewitz 2025-2026

Documentation & Jupyter Lab Examples

New Features

Nothing at this time

Improvements

1. Changed the visibility of all imports and background functions from public to private. This will allow for a much cleaner and more concise drop-down menu when using tab completion in Jupyter Notebooks or in VS Code.

Bug Fixes

1. None at this time.

xmACIS2Py 2.2.1 Released

xmACIS2Py 2.2.1

xmACIS2Py 2.2.1

(C) Eric J. Drewitz 2025-2026

Documentation & Jupyter Lab Examples

New Features

Nothing at this time

Improvements

1. Changed the default argument of clear_recycle_bin=True to clear_recycle_bin=False due to feedback that most users probably do not want this. I did not want to remove clear_recycle_bin given some users may still want to keep it. From now on, manually set clear_recycle_bin=True to clear recycle/trash bin with each run of a script that uses the WxData clients. This keeps xmACIS2Py up with the WxData 1.2.5 update.

Bug Fixes

1. None at this time.

xmACIS2Py 2.2 Released

xmACIS2Py 2.2

xmACIS2Py 2.2

(C) Eric J. Drewitz 2025-2026

Documentation & Jupyter Lab Examples

New Features

None at this time.

Improvements

1. Added the option hide_bar_labels (Default=False) to hide the bar labels for some users who may wish to reduce clutter on the figure. This is especially useful for users who are plotting a large temporal span of data.

Bug Fixes

1. Fixed a bug not displaying the x_axis datetime formatting properly in the precipitation summary graphics.

xmACIS2Py2.1.1 Released

xmACIS2Py 2.1.1

xmACIS2Py 2.1.1

(C) Eric J. Drewitz 2025-2026

Documentation & Jupyter Lab Examples

New Features

None at this time.

Improvements

None at this time.

Bug Fixes

1. Fixed minor typos stats table.

xmACIS2Py 2.1 Released

xmACIS2Py 2.1

xmACIS2Py 2.1

(C) Eric J. Drewitz 2025-2026

Documentation & Jupyter Lab Examples

New Features

None at this time.

Improvements

1. Changed the bar graph colors from gray to red (above normal) and blue (below normal) for Average Temperature Departure.

2. Added the Max, Min and Mean values for the period on the graphics.

Bug Fixes

1. Fixed minor typos in HDD/CDD/GDD graphics.

2. Fixed typos in stats table graphics for Average Temperature/Average Temperature Departure

xmACIS2Py 2.0 Released

xmACIS2Py 2.0

xmACISPy 2.0

Documentation & Jupyter Lab Examples

New Features

Data Access

1. Get Data

xmACIS2Py now utilizes the xmACIS2 client in WxData - Now xmACIS2Py works with VPN/PROXY connections

Analysis Tools

1. Period Mean
2. Period Median
3. Period Mode
4. Period Percentile
5. Period Standard Deviation
6. Period Variance
7. Period Skewness
8. Period Kurtosis
9. Period Maximum
10. Period Minimum
11. Period Sum
12. Period Rankings
13. Running Sum
14. Running Mean
15. Detrend Data
16. Number of Missing Days
17. Number of Days At Or Below Value
18. Number of Days At Or Above Value
19. Number of Days Below Value
20. Number of Days Above Value
21. Number of Days At Value

Graphical Summaries

1. Compreheisive Temperature Summary
2. Maximum Temperature Summary
3. Minimum Temperature Summary
4. Average Temperature Summary
5. Average Temperature Departure Summary
6. Heating Degree Day Summary
7. Cooling Degree Day Summary
8. Growing Degree Day Summary
9. Precipitation Summary

xmACIS2Py v1.2.4 Release Notes

New Features & Bug Fixes In xmACIS2Py v1.2.4

1. Made Major Graphical Improvements (especially to text-boxes)

2. Added the ability for users to plot the running mean for temperature graphics

3. Added the ability for users to plot the running sum for precipitation graphics

4. Added growing degree days (GDD)

5. Made plots showing summaries for a single variable (Max T, Min T, Avg T, AvgT Departure, HDD, CDD and GDD)

6. Fixed the issue with the dates sometimes writing over the titles in the temperature summary.
   Made the titles colored textboxes below the top of the subplot.

7. Changed the colors of the textboxes on the growing degree days summary to green and orange.

xmACIS2Py Documentation