diff --git a/src/explore.ipynb b/src/explore.ipynb index c820a0db6d1d5c5269b2a434f66774a7c05a2d9e..47669f73dc17c7cd621faf3d8c51130cc4148f14 100644 --- a/src/explore.ipynb +++ b/src/explore.ipynb @@ -719,7 +719,7 @@ "[121 rows x 2 columns]" ] }, - "execution_count": 43, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -733,12 +733,12 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 9, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] @@ -751,28 +751,16 @@ ], "source": [ "plt.xlabel('Month')\n", - "plt.ylabel('Num hits')\n" + "plt.ylabel('Num hits')\n", + "plt.plot(df_hits['LogMonth'],df_hits['Freq'], 'bo')\n", + "plt.show()" ] }, { - "cell_type": "code", - "execution_count": 14, + "cell_type": "markdown", "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'calendar' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m<ipython-input-14-0175097c371b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mcalendar\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmonth_name\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;31mNameError\u001b[0m: name 'calendar' is not defined" - ] - } - ], "source": [ - "calendar.month_name" + "## Helper functions" ] }, {