📝 Autoplot updates

pylib/iemweb/autoplot/scripts/p63.py

@@ -8,7 +8,7 @@
 expect to set 365 records the first year, 183 the second, and so on...
 """
 
-import datetime
+from datetime import datetime
 
 import pandas as pd
 from pyiem.database import get_dbconnc
@@ -37,7 +37,7 @@ def plotter(ctx: dict):
     pgconn, cursor = get_dbconnc("coop")
     syear = sts.year if sts.month == 1 and sts.day == 1 else (sts.year + 1)
     syear = max(syear, 1893)
-    eyear = datetime.datetime.now().year
+    eyear = datetime.now().year
 
     cursor.execute(
         """

pylib/iemweb/autoplot/scripts/p64.py

@@ -9,7 +9,7 @@
 """
 
 import calendar
-import datetime
+from datetime import date, datetime, timedelta
 
 import numpy as np
 import pandas as pd
@@ -63,7 +63,7 @@ def get_data(ctx):
     if ab is None:
         raise NoDataFound("No Data Found.")
     syear = max(1893, ab.year)
-    eyear = datetime.datetime.now().year
+    eyear = datetime.now().year
 
     snow = np.zeros((eyear - syear + 1, 366))
     snowd = np.zeros((eyear - syear + 1, 366))
@@ -112,9 +112,7 @@ def get_data(ctx):
             color = "b"
         else:
             color = "r"
-        dt = datetime.date(year, 1, 1) + datetime.timedelta(
-            days=(int(idx) + 183 - 1)
-        )
+        dt = date(year, 1, 1) + timedelta(days=(int(idx) + 183 - 1))
         rows.append(
             dict(
                 year=year,
@@ -184,7 +182,7 @@ def plotter(ctx: dict):
     )
     fig = figure(title=title, apctx=ctx)
     plot_yearly_trend(fig, df)
-    ax = fig.add_axes([0.08, 0.11, 0.36, 0.79])
+    ax = fig.add_axes((0.08, 0.11, 0.36, 0.79))
 
     ax.scatter(
         df["snow_doy"],
@@ -212,7 +210,7 @@ def plotter(ctx: dict):
     ax.grid(True)
     ax.set_ylim(bottom=0)
     ax2 = ax.twinx()
-    ptile = np.percentile(df["snow_doy"].values, np.arange(100))
+    ptile = np.percentile(df["snow_doy"].to_numpy(), np.arange(100))
     ax2.plot(ptile, np.arange(100), lw=2, color="k")
     ax2.set_ylabel(
         ("Frequency of %s Date (CDF) [%%] (black line)")

pylib/iemweb/autoplot/scripts/p65.py

@@ -5,7 +5,7 @@
 """
 
 import calendar
-import datetime
+from datetime import date, datetime, timedelta
 
 import pandas as pd
 from pyiem.database import get_sqlalchemy_conn
@@ -19,7 +19,7 @@
 def get_description():
     """Return a dict describing how to call this plotter"""
     desc = {"description": __doc__, "data": True}
-    today = datetime.date.today()
+    today = date.today()
     desc["arguments"] = [
         ARG_STATION,
         dict(
@@ -44,8 +44,8 @@ def plotter(ctx: dict):
     station = ctx["station"]
     month = ctx["month"]
     mydir = ctx["dir"]
-    ts = datetime.datetime(2000, month, 1)
-    ets = ts + datetime.timedelta(days=35)
+    ts = datetime(2000, month, 1)
+    ets = ts + timedelta(days=35)
     ets = ets.replace(day=1)
     days = int((ets - ts).days)
 

pylib/iemweb/autoplot/scripts/p67.py

@@ -5,7 +5,7 @@
 """
 
 import calendar
-import datetime
+from datetime import datetime
 
 import matplotlib.patheffects as PathEffects
 import pandas as pd
@@ -88,7 +88,7 @@ def plotter(ctx: dict):
         f"{ctx['_sname']}\n"
         f"Frequency of {threshold}+ knot Wind Speeds by Temperature "
         f"for {calendar.month_name[month]} "
-        f"({ab.year}-{datetime.datetime.now().year})\n"
+        f"({ab.year}-{datetime.now().year})\n"
         "(must have 3+ hourly observations at the given temperature)"
     )
     (fig, ax) = figure_axes(title=title, apctx=ctx)

pylib/iemweb/autoplot/scripts/p71.py

@@ -9,7 +9,7 @@
 is computed by vector averaging of the wind speed and direction reports.
 """
 
-import datetime
+from datetime import date, datetime
 
 import matplotlib.patheffects as PathEffects
 import numpy as np
@@ -46,13 +46,13 @@ def get_description():
         dict(
             type="year",
             name="year",
-            default=datetime.datetime.now().year,
+            default=datetime.now().year,
             label="Select Year:",
         ),
         dict(
             type="month",
             name="month",
-            default=datetime.datetime.now().month,
+            default=datetime.now().month,
             label="Select Month:",
         ),
         dict(
@@ -88,7 +88,7 @@ def plotter(ctx: dict):
     plot_units = ctx["units"]
     year = ctx["year"]
     month = ctx["month"]
-    sts = datetime.date(year, month, 1)
+    sts = date(year, month, 1)
     with get_sqlalchemy_conn("iem") as conn:
         df = pd.read_sql(
             """

pylib/iemweb/autoplot/scripts/p72.py

@@ -14,7 +14,7 @@
 plots for a single county/zone/parish at a time.
 """
 
-import datetime
+from datetime import datetime
 
 import pandas as pd
 from pyiem.database import get_sqlalchemy_conn
@@ -142,7 +142,7 @@ def plotter(ctx: dict):
     elif ctx["season"] == "winter":
         months = [12, 1, 2]
     else:
-        ts = datetime.datetime.strptime(f"2000-{ctx['season']}-01", "%Y-%b-%d")
+        ts = datetime.strptime(f"2000-{ctx['season']}-01", "%Y-%b-%d")
         months = [ts.month]
 
     tzname = ctx["_nt"].sts[wfo]["tzname"]

pylib/iemweb/autoplot/scripts/p75.py

@@ -2,7 +2,7 @@
 Simple plot of seasonal/yearly precipitation totals.
 """
 
-import datetime
+from datetime import datetime
 
 import numpy as np
 import pandas as pd
@@ -76,7 +76,7 @@ def plotter(ctx: dict):
         pgconn.close()
         raise NoDataFound("No Data Found.")
 
-    today = datetime.datetime.now()
+    today = datetime.now()
     thisyear = today.year
     if season == "spring" and today.month > 5:
         thisyear += 1

pylib/iemweb/autoplot/scripts/p79.py

@@ -6,7 +6,7 @@
 relative humidity value is computed.
 """
 
-import datetime
+from datetime import datetime
 
 import matplotlib.ticker as mticker
 import metpy.calc as mcalc
@@ -170,7 +170,7 @@ def plotter(ctx: dict):
     titles = [
         f"{ctx['_sname']}:: ",
         f"Average Dew Point by Wind Direction (month={month.upper()}) "
-        f"({max([1973, ab.year])}-{datetime.datetime.now().year})",
+        f"({max([1973, ab.year])}-{datetime.now().year})",
         "(must have 3+ hourly obs >= 3 knots at given direction)",
     ]
     ax.set_title("\n".join(titles), size=10)

pylib/iemweb/autoplot/scripts/p87.py

@@ -8,7 +8,7 @@
 """
 
 import calendar
-import datetime
+from datetime import date
 
 import numpy as np
 import pandas as pd
@@ -64,7 +64,7 @@ def get_description():
         dict(
             type="year",
             name="eyear",
-            default=datetime.date.today().year,
+            default=date.today().year,
             label="End Year of Analysis (inclusive):",
         ),
     ]
@@ -77,8 +77,8 @@ def plotter(ctx: dict):
     syear = ctx["syear"]
     eyear = ctx["eyear"]
     groupby = ctx["groupby"]
-    sts = datetime.date(syear, 1, 1)
-    ets = datetime.date(eyear + 1, 1, 1)
+    sts = date(syear, 1, 1)
+    ets = date(eyear + 1, 1, 1)
     code = ctx["code"]
     if code == "PSN":
         code = "+SN"
@@ -148,8 +148,8 @@ def plotter(ctx: dict):
         f"{PDICT2[groupby].replace('group ', '')}"
     )
     fig = figure(apctx=ctx, title=title)
-    ax = fig.add_axes([0.11, 0.25, 0.7, 0.65])
-    cax = fig.add_axes([0.82, 0.04, 0.02, 0.15])
+    ax = fig.add_axes((0.11, 0.25, 0.7, 0.65))
+    cax = fig.add_axes((0.82, 0.04, 0.02, 0.15))
 
     res = ax.imshow(
         data, aspect="auto", rasterized=True, interpolation="nearest"
@@ -163,7 +163,7 @@ def plotter(ctx: dict):
     ax.set_ylabel(f"Local Time, {ctx['_nt'].sts[station]['tzname']}")
     ax.set_yticklabels(("Mid", "4 AM", "8 AM", "Noon", "4 PM", "8 PM"))
     ax.grid(True)
-    lax = fig.add_axes([0.11, 0.1, 0.7, 0.15])
+    lax = fig.add_axes((0.11, 0.1, 0.7, 0.15))
     if groupby == "week":
         ax.set_xticks(np.arange(0, 55, 7))
         lax.bar(np.arange(0, 52), np.ma.sum(data, 0), facecolor="tan")
@@ -198,7 +198,7 @@ def plotter(ctx: dict):
     lax.yaxis.get_major_ticks()[-1].label1.set_visible(False)
 
     # Right grid
-    rax = fig.add_axes([0.81, 0.25, 0.15, 0.65])
+    rax = fig.add_axes((0.81, 0.25, 0.15, 0.65))
     rax.barh(np.arange(0, 24) - 0.4, np.ma.sum(data, 1), facecolor="tan")
     rax.set_ylim(-0.5, 23.5)
     rax.set_yticks([])

pylib/iemweb/autoplot/scripts/p88.py

@@ -7,7 +7,7 @@
 reliable/comparable.
 """
 
-import datetime
+from datetime import date
 
 import numpy as np
 import pandas as pd
@@ -92,7 +92,7 @@ def plotter(ctx: dict):
         raise NoDataFound("Unknown station metadata.")
     title = (
         f"{ctx['_sname']} "
-        f"({max([ab.year, 1973])}-{datetime.date.today().year})\n"
+        f"({max([ab.year, 1973])}-{date.today().year})\n"
         f"Hourly Temp Departure (skies were {PDICT[ctx['which']]} vs all)"
     )
     (fig, ax) = figure_axes(title=title, apctx=ctx)