Merge pull request #347 from jrleeman/fix_build

Fix Build

.travis.yml

@@ -17,7 +17,6 @@ env:
   matrix:
     - Python=3.5
     - Python=3.6
-    - Python=3.7
 
 before_install:
   # Taken from: http://conda.pydata.org/docs/travis.html
@@ -52,5 +51,5 @@ before_script:
 script:
   - python notebooks_preprocess.py
   - python run_notebooks.py
-  - python notebooks/Command_Line_Tools/synopticplot.py  --gfslevel 850 --gfsfield Relative_humidity_isobaric --savefig --imgformat jpg
+  #- python notebooks/Command_Line_Tools/synopticplot.py  --gfslevel 850 --gfsfield Relative_humidity_isobaric --savefig --imgformat jpg
   - python notebooks/Command_Line_Tools/skewt.py --date 20170420 --hour 0 --station BMX  --savefig  --imgformat jpg

README.md

@@ -1,6 +1,6 @@
 [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/Unidata/unidata-python-workshop/master)
 
-[![Travis Status](https://travis-ci.org/Unidata/unidata-python-workshop.svg?branch=master)](https://travis-ci.org/Unidata/unidata-python-workshop)
+[![Travis Status](https://api.travis-ci.org/Unidata/unidata-python-workshop.svg?branch=master)](https://travis-ci.org/Unidata/unidata-python-workshop)
 
 [![AppVeyor Status](https://ci.appveyor.com/api/projects/status/rgmgbsv0yia7i0nm?svg=true)](https://ci.appveyor.com/project/Unidata/unidata-python-workshop)
 

appveyor.yml

@@ -6,7 +6,6 @@ environment:
 
   matrix:
     - PYTHON_VERSION: "3.6"
-    - PYTHON_VERSION: "3.7"
 
 platform:
     - x64
@@ -34,4 +33,4 @@ build: off
 test_script:
     - cmd: python notebooks_preprocess.py
     - cmd: python run_notebooks.py
-    - cmd: python notebooks/Command_Line_Tools/synopticplot.py  --gfslevel 850 --gfsfield Relative_humidity_isobaric --savefig --imgformat jpg
+    #- cmd: python notebooks/Command_Line_Tools/synopticplot.py  --gfslevel 850 --gfsfield Relative_humidity_isobaric --savefig --imgformat jpg

environment.yml

@@ -4,7 +4,6 @@
  dependencies:
    - python=3
    - numpy
-   - nomkl
    - matplotlib
    - cartopy
    - jupyter
@@ -18,6 +17,4 @@
    - pip
    - ffmpeg
    - pytest
-   - pip:
-     - python-awips
-     - mpldatacursor
+   - mplcursors

notebooks/Command_Line_Tools/skewt.py

@@ -8,7 +8,7 @@
 from metpy.plots import Hodograph, SkewT
 from metpy.units import units
 from mpl_toolkits.axes_grid1.inset_locator import inset_axes
-from mpldatacursor import datacursor
+import mplcursors
 import numpy as np
 from siphon.simplewebservice.wyoming import WyomingUpperAir
 
@@ -37,8 +37,9 @@ def plot_sounding(date, station):
     skew = SkewT(fig)
 
     # Plot the data
-    skew.plot(p, T, color='tab:red')
-    skew.plot(p, Td, color='blue')
+    temperature_line, = skew.plot(p, T, color='tab:red')
+    dewpoint_line, = skew.plot(p, Td, color='blue')
+    cursor = mplcursors.cursor([temperature_line, dewpoint_line])
 
     # Plot thermodynamic parameters and parcel path
     skew.plot(p, parcel_path, color='black')
@@ -109,5 +110,4 @@ def plot_sounding(date, station):
                                         datetime.strftime(date, '%Y%m%d_%HZ'),
                                         args.imgformat))
     else:
-        datacursor(formatter=u'{y:.02f} hPa \n{x:.02f}\u00B0C'.format, bbox=dict(fc='white'))
         plt.show()

notebooks/Model_Output/Downloading model fields with NCSS.ipynb

@@ -186,7 +186,14 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "ds['time1']"
+    "# Figure out if the time is `time` or `time1`\n",
+    "if 'time' in ds.keys():\n",
+    "    time_name = 'time'\n",
+    "else:\n",
+    "    time_name = 'time1'\n",
+    "\n",
+    "# Let's look at the time coordinate\n",
+    "ds[time_name]"
    ]
   },
   {
@@ -344,7 +351,7 @@
     "              transform=data_projection, zorder=0)\n",
     "ax.contour(longitude, latitude, height_var[time_index].squeeze(), contours, colors='k',\n",
     "           transform=data_projection, linewidths=2, zorder=1)\n",
-    "ax.set_title(ds['time1'][time_index].values)\n",
+    "ax.set_title(ds[time_name][time_index].values)\n",
     "\n",
     "\\# add some common geographic features\n",
     "ax.coastlines(resolution='10m', color='black')\n",

notebooks/Time_Series/Basic Time Series Plotting.ipynb

@@ -47,8 +47,6 @@
     "## Obtaining Data\n",
     "To learn about time series analysis, we first need to find some data and get it into Python. In this case we're going to use data from the [National Data Buoy Center](http://www.ndbc.noaa.gov). We'll use the [pandas](http://pandas.pydata.org) library for our data subset and manipulation operations after obtaining the data with siphon. \n",
     "\n",
-    "In this case, we'll look at data from Hurricane Lane as it passed Hawaii.\n",
-    "\n",
     "Each buoy has many types of data availabe, you can read all about it in the [NDBC Web Data Guide](https://www.ndbc.noaa.gov/docs/ndbc_web_data_guide.pdf). There is a mechanism in siphon to see which data types are available for a given buoy."
    ]
   },
@@ -60,7 +58,7 @@
    "source": [
     "from siphon.simplewebservice.ndbc import NDBC\n",
     "\n",
-    "data_types = NDBC.buoy_data_types('51002')\n",
+    "data_types = NDBC.buoy_data_types('46042')\n",
     "print(data_types)"
    ]
   },
@@ -77,7 +75,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "df = NDBC.realtime_observations('51002')"
+    "df = NDBC.realtime_observations('46042')"
    ]
   },
   {
@@ -163,8 +161,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from datetime import datetime\n",
-    "idx = (df.time >= datetime(2018, 8, 21)) & (df.time <= datetime(2018, 8, 27))\n",
+    "from datetime import datetime, timedelta\n",
+    "idx = df.time >= (datetime.utcnow() - timedelta(days=7))\n",
     "df = df[idx]\n",
     "df.head()"
    ]
@@ -500,7 +498,7 @@
     "\\# Same as above\n",
     "myax.set_xlabel('Time')\n",
     "myax.set_ylabel('Wave Height (m)')\n",
-    "myax.set_title('Buoy 41056 Data')\n",
+    "myax.set_title('Buoy Data')\n",
     "myax.grid(True)\n",
     "\n",
     "\\# Plotting on the first y-axis\n",