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add method for subsetting a dataframe instead of series (#26923)

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This commit is contained in:
Himanshu Ladia
2018-12-18 07:55:13 +05:30
committed by Christopher McCormack
parent 1f38407032
commit 1bd61f8dbb
1 changed files with 9 additions and 2 deletions
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11
guide/english/data-science-tools/pandas/index.md
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@ -61,12 +61,19 @@ A data frame can be subset in many ways. One of the simplest is getting a single
```python
ages = df["age"]
```
This will return what's called a pandas series.
We can also extract a list of columns from the data frame. For instance, if the data frame contains columns `name`, `age` and `address`, we can get the `name` and `age` as follows:
```python
details = df[["name", "age"]]
```
This will return a data frame only, and not a series.
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:
```python
ages=df.loc["age"]
ages = df.loc["age"]
```
#### More Information:
1. [pandas](http://pandas.pydata.org/)
2. [read_csv](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html?highlight=read_csv#pandas.read_csv)