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Update README.md

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Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>
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@ -141,3 +141,55 @@ RangeIndex(start=0, stop=3, step=1)
['Bambu' 'Tree' 'Sleep']
```
## [DataFrame](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame)
```python
class pandas.DataFrame(data=None, index=None, columns=None, dtype=None, copy=None)
```
> Two-dimensional, size-mutable, potentially heterogeneous tabular data.
>
> Data structure also contains labeled axes (rows and columns). Arithmetic operations align on both row and column labels. Can be thought of as a dict-like container for Series objects. The primary pandas data structure.
## [pandas.concat](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.concat.html)
```python
pandas.concat(objs, *, axis=0, join='outer', ignore_index=False, keys=None, levels=None, names=None, verify_integrity=False, sort=False, copy=None)
```
> Concatenate pandas objects along a particular axis.
>
> Allows optional set logic along the other axes.
>
> Can also add a layer of hierarchical indexing on the concatenation axis, which may be useful if the labels are the same (or overlapping) on the passed axis number.
## [I/O operations​](https://pandas.pydata.org/pandas-docs/stable/reference/io.html#input-output)
||
|---|
|[Pickling](https://pandas.pydata.org/pandas-docs/stable/reference/io.html#pickling)|
|[Flat file](https://pandas.pydata.org/pandas-docs/stable/reference/io.html#flat-file)|
|[Clipboard](https://pandas.pydata.org/pandas-docs/stable/reference/io.html#clipboard)|
|[Excel](https://pandas.pydata.org/pandas-docs/stable/reference/io.html#excel)|
|[JSON](https://pandas.pydata.org/pandas-docs/stable/reference/io.html#json)|
|[HTML](https://pandas.pydata.org/pandas-docs/stable/reference/io.html#html)|
|[XML](https://pandas.pydata.org/pandas-docs/stable/reference/io.html#xml)|
|[Latex](https://pandas.pydata.org/pandas-docs/stable/reference/io.html#latex)|
|[HDFStore: PyTables (HDF5)](https://pandas.pydata.org/pandas-docs/stable/reference/io.html#hdfstore-pytables-hdf5)|
|[Feather](https://pandas.pydata.org/pandas-docs/stable/reference/io.html#feather)|
|[Parquet](https://pandas.pydata.org/pandas-docs/stable/reference/io.html#parquet)|
|[ORC](https://pandas.pydata.org/pandas-docs/stable/reference/io.html#orc)|
|[SAS](https://pandas.pydata.org/pandas-docs/stable/reference/io.html#sas)|
|[SPSS](https://pandas.pydata.org/pandas-docs/stable/reference/io.html#spss)|
|[SQL](https://pandas.pydata.org/pandas-docs/stable/reference/io.html#sql)|
|[Google BigQuery](https://pandas.pydata.org/pandas-docs/stable/reference/io.html#google-bigquery)|
|[STATA](https://pandas.pydata.org/pandas-docs/stable/reference/io.html#stata)|