🔁 Update README

Author: IDouble

README.md

@@ -29,7 +29,6 @@ Print the first 10 Rows from a Dateframe. (Method .head(amount))
 print(df.head(10))
 ```
 
-
 ## Print Rows from a Dateframe and sort them with an attribute 🗃
 Print 10 Rows from a Dateframe using an Integer Index from 0-10 and sort them with an attribute. (Method .sort_values(["Start Time"]))
 ```
@@ -54,3 +53,40 @@ data = {'state': ['Ohio', 'Ohio', 'Ohio', 'Nevada', 'Nevada', 'Nevada'],
 # Create Data Frame
 df = pd.DataFrame(data)
 ```
+
+## Draw financial Chart 🗂
+```
+import pandas as pd
+import matplotlib.pyplot as plt
+import matplotlib
+from datetime import datetime
+
+fig = plt.figure()
+ax = fig.add_subplot(1, 1, 1)
+
+data = pd.read_csv('spx.csv', index_col=0, parse_dates=True)
+spx = data['SPX']
+
+spx.plot(ax=ax, style='k-')
+
+crisis_data = [
+    (datetime(2007, 10, 11), 'Peak of bull market'),
+    (datetime(2008, 3, 12), 'Bear Stearns Fails'),
+    (datetime(2008, 9, 15), 'Lehman Bankruptcy')
+]
+
+for date, label in crisis_data:
+    ax.annotate(label, xy=(date, spx.asof(date) + 75),
+                xytext=(date, spx.asof(date) + 225),
+                arrowprops=dict(facecolor='black', headwidth=4, width=2,
+                                headlength=4),
+                horizontalalignment='left', verticalalignment='top')
+
+# Zoom in on 2007-2010
+ax.set_xlim(['1/1/2007', '1/1/2011'])
+ax.set_ylim([600, 1800])
+
+ax.set_title('Important dates in the 2008-2009 financial crisis')
+
+fig.show()
+```