Merge pull request #77 from jrleeman/pythonic_update

Add fix for plotting with new pandas/matplotlib issue

Author: dopplershift

pages/workshop/Pythonic_Data_Analysis/Pythonic Data Analysis.ipynb

@@ -103,7 +103,7 @@
     "fig, (ax1, ax2) = plt.subplots(1, 2, sharex=True, figsize=(18, 6))\n",
     "\n",
     "# Panel 1\n",
-    "ax1.plot(df.time, df.wind_speed, color='tab:orange', label='Windspeed')\n",
+    "ax1.plot(df.time.values, df.wind_speed, color='tab:orange', label='Windspeed')\n",
     "ax1.set_xlabel('Time')\n",
     "ax1.set_ylabel('Speed')\n",
     "ax1.set_title('Measured Winds')\n",
@@ -115,7 +115,7 @@
     "ax1.xaxis.set_major_locator(DayLocator())\n",
     "\n",
     "# Panel 2\n",
-    "ax2.plot(df.time, df.pressure, color='black', label='Pressure')\n",
+    "ax2.plot(df.time.values, df.pressure, color='black', label='Pressure')\n",
     "ax2.set_xlabel('Time')\n",
     "ax2.set_ylabel('hPa')\n",
     "ax2.set_title('Atmospheric Pressure')\n",
@@ -587,7 +587,7 @@
     "# Loop over the list of subplots and names together\n",
     "for ax, var_name in zip(axes, plot_variables):\n",
     "    \n",
-    "    ax.plot(df.time, df[var_name])\n",
+    "    ax.plot(df.time.values, df[var_name])\n",
     "\n",
     "    # Set label/title based on variable name--no longer hard-coded\n",
     "    ax.set_ylabel(var_name)\n",
@@ -653,7 +653,7 @@
     "\n",
     "    # Grab the color from our dictionary and pass it to plot()\n",
     "    color = colors[var_name]\n",
-    "    ax.plot(df.time, df[var_name], color)\n",
+    "    ax.plot(df.time.values, df[var_name], color)\n",
     "\n",
     "    ax.set_ylabel(var_name)\n",
     "    ax.set_title(f'Buoy {var_name}')\n",
@@ -686,7 +686,7 @@
     "    for var_name in var_names:\n",
     "        # Grab the color from our dictionary and pass it to plot()\n",
     "        color = colors[var_name]\n",
-    "        ax.plot(df.time, df[var_name], color)\n",
+    "        ax.plot(df.time.values, df[var_name], color)\n",
     "\n",
     "    ax.set_ylabel(var_name)\n",
     "    ax.set_title(f'Buoy {var_name}')\n",
@@ -725,7 +725,7 @@
     "    for var_name in var_names:\n",
     "        # Grab the color from our dictionary and pass it to plot()\n",
     "        color = colors[var_name]\n",
-    "        ax.plot(df.time, df[var_name], color)\n",
+    "        ax.plot(df.time.values, df[var_name], color)\n",
     "\n",
     "    ax.set_ylabel(var_name)\n",
     "    ax.set_title(f'Buoy {var_name}')\n",
@@ -791,7 +791,7 @@
     "        \n",
     "        color = colors[var_name]\n",
     "        linestyle = linestyles[var_name]\n",
-    "        ax.plot(df.time, df[var_name], color, linestyle=linestyle, label=label)\n",
+    "        ax.plot(df.time.values, df[var_name], color, linestyle=linestyle, label=label)\n",
     "\n",
     "    ax.set_ylabel(title)\n",
     "    ax.set_title(f'Buoy {title}')\n",
@@ -840,7 +840,7 @@
     "            title, label = format_varname(var_name)\n",
     "            color = colors[var_name]\n",
     "            linestyle = linestyles[var_name]\n",
-    "            ax.plot(df.time, df[var_name], color, linestyle=linestyle, label=label)\n",
+    "            ax.plot(df.time.values, df[var_name], color, linestyle=linestyle, label=label)\n",
     "\n",
     "        ax.set_ylabel(title)\n",
     "        ax.set_title(f'Buoy {buoy} {title}')\n",