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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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@ -164,7 +164,65 @@ pandas.concat(objs, *, axis=0, join='outer', ignore_index=False, keys=None, leve
>
> 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.
## Saving (pandas.DataFrame.to_pickle) / loading (pandas.read_pickle) data ‘natively’​
Save:
```python
import pandas as pd
original_df = pd.DataFrame(
{"foo": range(5), "bar": range(5, 10)}
)
print(original_df)
pd.to_pickle(original_df, "./dummy.pkl")
```
Output:
```python
foo bar
0 0 5
1 1 6
2 2 7
3 3 8
4 4 9
```
Load:
```python
import pandas as pd
unpickled_df = pd.read_pickle("./dummy.pkl")
print(unpickled_df)
```
Output:
```python
foo bar
0 0 5
1 1 6
2 2 7
3 3 8
4 4 9
```
#### [read](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_pickle.html#pandas.read_pickle)
```python
pandas.read_pickle(filepath_or_buffer, compression='infer', storage_options=None)
```
> Load pickled pandas object (or any object) from file.
#### [write](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_pickle.html#pandas.DataFrame.to_pickle)
```python
DataFrame.to_pickle(path, compression='infer', protocol=5, storage_options=None)
```
> Pickle (serialize) object to file.
## [I/O operations​](https://pandas.pydata.org/pandas-docs/stable/reference/io.html#input-output)
@ -251,3 +309,7 @@ DataFrame.to_json(path_or_buf=None, orient=None, date_format=None, double_precis
> Note NaN’s and None will be converted to null and datetime objects will be converted to UNIX timestamps.