Added a video tutorial for Pandas (#26045)
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Christopher McCormack
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@ -59,7 +59,7 @@ This will show the `count`, `mean`, `std`, `min`, `max` among others for numeric
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## Subsetting
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A data frame can be subset in many ways. One of the simplest is getting a single column. For instance, if the data frame `df` contains a column named `age`, we can extract it as follows:
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```python
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ages=df["age"]
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ages = df["age"]
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```
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Another option for subsetting a dataframe is using the loc and iloc methods. The difference between loc and iloc is that loc searches based on a label and iloc searches based on the integer value of a row or column. To perform the same indexing as the above example using loc:
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```python
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@ -71,3 +71,4 @@ ages=df.loc["age"]
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1. [pandas](http://pandas.pydata.org/)
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2. [read_csv](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html?highlight=read_csv#pandas.read_csv)
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3. [head](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.head.html?highlight=head#pandas.DataFrame.head)
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4. [Introduction to Pandas](https://youtu.be/lkLl_QKLgcA)
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