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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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@ -876,6 +876,77 @@ DataFrame.cumsum(axis=None, skipna=True, *args, **kwargs)
**[Here](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html) you will find many more methods and math functions.**
```python
import pandas as pd
import numpy as np
index = pd.Series(["A", "B", "C", "D", "E"])
rng = np.random.default_rng()
np_data_1 = rng.random((5))
data_1 = pd.Series(np_data_1, index=index)
np_data_2 = rng.random((5))
data_2 = pd.Series(np_data_2, index=index)
data_1.name = "Alpha"
data_2.name = "Beta"
data_3 = pd.concat([data_1, data_2], axis=1)
print(data_3)
print()
print(data_3.loc[["A", "D"]])
print()
print(data_3.loc[data_3["Alpha"] > 0.5])
print()
print(data_3["Alpha"].sum())
print()
print(data_3["Alpha"].cumsum())
print()
print(data_3.iloc[[0, 3]])
print()
print(data_3.iloc[[0, 3]].Alpha)
```
Output
```python
A 0.161057 0.448543
B 0.503980 0.384337
C 0.747554 0.434789
D 0.963156 0.451778
E 0.666598 0.416983
Alpha Beta
A 0.161057 0.448543
D 0.963156 0.451778
Alpha Beta
B 0.503980 0.384337
C 0.747554 0.434789
D 0.963156 0.451778
E 0.666598 0.416983
3.042345395250818
A 0.161057
B 0.665037
C 1.412591
D 2.375747
E 3.042345
Name: Alpha, dtype: float64
Alpha Beta
A 0.161057 0.448543
D 0.963156 0.451778
A 0.161057
D 0.963156
Name: Alpha, dtype: float64
```
### Other functions
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