|
11 | 11 | "cell_type":"markdown", |
12 | 12 | "metadata": {}, |
13 | 13 | "source": [ |
14 | | -"This notebook uses a Python3.4environment with a few libraries, including `dask`, all of which were specificied using a `conda` [environment.yml](../edit/environment.yml) file. To demo the environment, we'll show a simplified example of using `dask` to analyze time series data, adapted from Matthew Rocklin's excellent repo of [dask examples](https://github.com/blaze/dask-examples) — check out that repo for the full version (and many other examples)." |
| 14 | +"This notebook uses a Python environment with a few libraries, including `dask`, all of which were specificied using a `conda` [environment.yml](../edit/environment.yml) file. To demo the environment, we'll show a simplified example of using `dask` to analyze time series data, adapted from Matthew Rocklin's excellent repo of [dask examples](https://github.com/blaze/dask-examples) — check out that repo for the full version (and many other examples)." |
15 | 15 | ] |
16 | 16 | }, |
17 | 17 | { |
|
125 | 125 | } |
126 | 126 | ], |
127 | 127 | "source": [ |
128 | | -"df.A.cumsum().resample('1w', how='mean').compute().plot();" |
| 128 | +"df.A.cumsum().resample('1w').mean().compute().plot();" |
129 | 129 | ] |
130 | 130 | } |
131 | 131 | ], |
|
145 | 145 | "name":"python", |
146 | 146 | "nbconvert_exporter":"python", |
147 | 147 | "pygments_lexer":"ipython3", |
148 | | -"version":"3.4.3" |
| 148 | +"version":"3.6.1" |
149 | 149 | } |
150 | 150 | }, |
151 | 151 | "nbformat":4, |
152 | | -"nbformat_minor":0 |
| 152 | +"nbformat_minor":2 |
153 | 153 | } |
