Merge pull request jvns#13 from jbalogh/patch-3

jvns · jvns · commit e2d2b57ba252 · 2014-03-19T13:04:51.000-04:00
Dataframs =&gt; Dataframes
diff --git a/cookbook/Chapter 4 - Find out on which weekday people bike the most with groupby and aggregate.ipynb b/cookbook/Chapter 4 - Find out on which weekday people bike the most with groupby and aggregate.ipynb
@@ -379,7 +379,7 @@
      "source": [
       "This turns out to be really easy!\n",
       "\n",
-      "Dataframs have a `.groupby()` method that is similar to SQL groupby, if you're familiar with that. I'm not going to explain more about it right now -- if you want to to know more, [the documentation](http://pandas.pydata.org/pandas-docs/stable/groupby.html) is really good.\n",
+      "Dataframes have a `.groupby()` method that is similar to SQL groupby, if you're familiar with that. I'm not going to explain more about it right now -- if you want to to know more, [the documentation](http://pandas.pydata.org/pandas-docs/stable/groupby.html) is really good.\n",
       "\n",
       "In this case, `berri_bikes.groupby('weekday').aggregate(sum)` means \"Group the rows by weekday and then add up all the values with the same weekday\"."
      ]
@@ -683,4 +683,4 @@
    "metadata": {}
   }
  ]
-}
+}

Original file line number	Diff line number	Diff line change
`@@ -379,7 +379,7 @@`
`379`	`379`	`"source": [`
`380`	`380`	`"This turns out to be really easy!\n",`
`381`	`381`	`"\n",`
`382`		- "Dataframs have a `.groupby()` method that is similar to SQL groupby, if you're familiar with that. I'm not going to explain more about it right now -- if you want to to know more, [the documentation](http://pandas.pydata.org/pandas-docs/stable/groupby.html) is really good.\n",
	`382`	+ "Dataframes have a `.groupby()` method that is similar to SQL groupby, if you're familiar with that. I'm not going to explain more about it right now -- if you want to to know more, [the documentation](http://pandas.pydata.org/pandas-docs/stable/groupby.html) is really good.\n",
`383`	`383`	`"\n",`
`384`	`384`	"In this case, `berri_bikes.groupby('weekday').aggregate(sum)` means \"Group the rows by weekday and then add up all the values with the same weekday\"."
`385`	`385`	`]`
`@@ -683,4 +683,4 @@`
`683`	`683`	`"metadata": {}`
`684`	`684`	`}`
`685`	`685`	`]`
`686`		`-}`
	`686`	`+}`