diff --git a/getting_started/README.md b/getting_started/README.md index f3e2c0a10d30385cc98930b45b04afc383ccae6e..16ec0ada4c3e3d950adbb4f8ed14e53e8d50e59a 100644 --- a/getting_started/README.md +++ b/getting_started/README.md @@ -7,7 +7,7 @@ you who are new to Python as a language, or want a refresher on how it all works. -If you are already comfortable with Python, `numpy`, `nibabel`, `jupyter`, and `pandas`, +If you are already comfortable with Python, `numpy`, `nibabel`, and `jupyter`. then you might want to check out the `advanced_topics` folder. @@ -19,4 +19,3 @@ then you might want to check out the `advanced_topics` folder. 6. Image manipulation (MC) 7. Jupyter notebook and IPython (MC) 8. Writing a callable script (MJ) -9. Pandas tables (MC) diff --git a/getting_started/09_pandas/group_by.png b/talks/pandas/group_by.png similarity index 100% rename from getting_started/09_pandas/group_by.png rename to talks/pandas/group_by.png diff --git a/getting_started/09_pandas.ipynb b/talks/pandas/pandas.ipynb similarity index 99% rename from getting_started/09_pandas.ipynb rename to talks/pandas/pandas.ipynb index 4c330f68381c403eadc97b50e1fe56c5cef716ff..f386a4bea15c4eb14b3516a8495692c908d80a91 100644 --- a/getting_started/09_pandas.ipynb +++ b/talks/pandas/pandas.ipynb @@ -97,7 +97,7 @@ "metadata": {}, "outputs": [], "source": [ - "titanic = pd.read_csv('09_pandas/titanic.csv')\n", + "titanic = pd.read_csv('titanic.csv')\n", "titanic" ] }, @@ -800,7 +800,7 @@ "discussed above as illustrated in this figure from the [Python data science\n", "handbook](https://jakevdp.github.io/PythonDataScienceHandbook/06.00-figure-code.html#Split-Apply-Combine)\n", "\n", - "" + "" ] }, { diff --git a/getting_started/09_pandas.md b/talks/pandas/pandas.md similarity index 99% rename from getting_started/09_pandas.md rename to talks/pandas/pandas.md index bb99481ef0d52ff8b996fec024b56e496bfe7af5..d6d07902a593b5fedba8c219112e3b83b74add90 100644 --- a/getting_started/09_pandas.md +++ b/talks/pandas/pandas.md @@ -55,7 +55,7 @@ If you can not connect to the internet, you can run the command below to load this locally stored titanic dataset ``` -titanic = pd.read_csv('09_pandas/titanic.csv') +titanic = pd.read_csv('titanic.csv') titanic ``` @@ -394,7 +394,7 @@ However, it is more often combined with one of the aggregation functions discussed above as illustrated in this figure from the [Python data science handbook](https://jakevdp.github.io/PythonDataScienceHandbook/06.00-figure-code.html#Split-Apply-Combine) - + ``` titanic.groupby('class').mean() diff --git a/getting_started/09_pandas/titanic.csv b/talks/pandas/titanic.csv similarity index 100% rename from getting_started/09_pandas/titanic.csv rename to talks/pandas/titanic.csv