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--- pandas_series [2024/02/05 03:53] – [append element to series] raju
+++ pandas_series [2024/02/06 05:11] – raju
@@ Line 1: / Line 1: @@
+===== creating a series =====
+==== create a series from a list ====
+<code>
+>>> a = pd.Series(['sun', 'mon', 'tue'])
+>>> a
+    sun
+    mon
+    tue
+dtype: object
+</code>
+To assign an index
+<code>
+>>> b = pd.Series(['sun', 'mon', 'tue'], index=['s', 'm', 't'])
+>>> b
+s    sun
+m    mon
+t    tue
+dtype: object
+</code>
+To assign a name to the column
+<code>
+>>> c = pd.Series(['sun', 'mon', 'tue'], index=['s', 'm', 't'], name='day')
+>>> c
+s    sun
+m    mon
+t    tue
+Name: day, dtype: object
+</code>
+To assign a name to the index
+<code>
+>>> d = pd.Series(['sun', 'mon', 'tue'], index=['s', 'm', 't'], name='day')
+>>> d.index.name = 'letter'
+>>> d
+letter
+s    sun
+m    mon
+t    tue
+Name: day, dtype: object
+</code>
+Column name is useful when converting the series to dataframe.
+<code>
+>>> b.to_frame()
+s  sun
+m  mon
+t  tue
+>>> c.to_frame()
+   day
+s  sun
+m  mon
+t  tue
+</code>
+If the series did not have a name to begin with but we desire to have one while converting to the dataframe
+<code>
+>>> b.to_frame(name='days')
+  days
+s  sun
+m  mon
+t  tue
+</code>
+The index name comes in handy while resetting the index
+<code>
+>>> c.reset_index()
+  index  day
+     s  sun
+     m  mon
+     t  tue
+>>> d.reset_index()
+  letter  day
+      s  sun
+      m  mon
+      t  tue
+</code>
 ===== dummy =====
 ==== append element to series ====