Python pandas dataframe

pandas/df_access_column.py

@@ -0,0 +1,15 @@
+# create dataframe using list of Tuple
+import pandas as pd
+data = [
+    (1101, 'rakesh', 56, 5656.56),
+    (1203, 'jatin jain', 56, 5666.56),
+    (1205, 'pushkar', 78, 5666.56),
+    (1206, 'arushi', 98, 4564.34),
+    (1208, 'mannat bhatia', 89,  4500),
+    (1234, 'unnati', 67, 3500.56),
+    (1245, 'Nikunj Tyagi', 68, 4500),
+    (5755, 'vishank', 89, 5000)
+]
+heading = ["admno", "name", "marks", "fees"]
+df = pd.DataFrame(data, columns=heading)
+print(df[['name','fees']]

pandas/df_access_rows.py

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+# create dataframe using list of Tuple
+import pandas as pd
+data = [
+    (1101, 'rakesh', 56, 5656.56),
+    (1203, 'jatin jain', 56, 5666.56),
+    (1205, 'pushkar', 78, 5666.56),
+    (1206, 'arushi', 98, 4564.34),
+    (1208, 'mannat bhatia', 89,  4500),
+    (1234, 'unnati', 67, 3500.56),
+    (1245, 'Nikunj Tyagi', 68, 4500),
+    (5755, 'vishank', 89, 5000)
+]
+heading = ["admno", "name", "marks", "fees"]
+df = pd.DataFrame(data, columns=heading)
+print(df[1])

pandas/df_creation1.py

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+# create dataframe using Python Dictionary
+import pandas as pd
+df= pd.DataFrame(
+    {
+        'admno' :[10,12,45,56,78,88],
+        'name'  :['rakesh','tarun','nikunj','arushi','pushkar','jatin'],
+        'marks' :[56,67,78,99,67,56],
+        'fees'  :[345.67,676.45,677,456,7687,5656]
+    }
+)
+print(df)

pandas/df_creation2.py

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+# create dataframe using list of Python Dictionary
+import pandas as pd
+df = pd.DataFrame(
+    [
+        {'admno': 1101,'name': 'rakesh','marks' :56, 'fees': 5656.56},
+        {'admno': 1203, 'name':'jatin jain','marks':56, 'fees': 5666.56},
+        {'admno': 1205, 'name':'pushkar','marks':78, 'fees': 5666.56},
+        {'admno': 1206, 'name':'arushi','marks':98, 'fees': 4564.34},
+        {'admno': 1208, 'name':'mannat bhatia','marks':89, 'fees': 4500}
+    ]
+)
+print(df)

pandas/df_creation3.py

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+# create pandas dataframe using csv file
+import pandas as pd
+df = pd.read_csv('student.csv')
+print(df)

pandas/df_creation4.py

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+# create python pandas using Excel file
+import pandas as pd
+df = pd.read_excel("result.xls","result")
+print(df)

pandas/df_creation5.py

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+# create dataframe using list of Tuple
+import pandas as pd
+data = [
+        (1101, 'rakesh', 56,5656.56),
+        (1203, 'jatin jain',56, 5666.56),
+        (1205,'pushkar',78,5666.56),
+        (1206,'arushi', 98, 4564.34),
+        (1208,'mannat bhatia', 89,  4500),
+        (1234,'unnati',67,3500.56),
+        (1245,'Nikunj Tyagi',68,4500),
+        (5755,'vishank',89,5000)
+]
+heading = ["admno","name","marks","fees"]
+df = pd.DataFrame(data,columns=heading)
+print(df)

pandas/tempCodeRunnerFile.py

@@ -1,13 +1,4 @@
-# retirve values from pandas series using head() and tail() function
-
+# create python pandas using Excel file
 import pandas as pd
-s= pd.Series(range(1,1000,5))
-#print top 5 entries of the series
-print(s.head())
-#print top 2 entries of the series
-print(s.head(2))
-
-#print last 5 entries of the series
-print(s.tail())
-# print last 2 entries of the series
-print(s.tail(2))
+df = pd.read_excel("result.xls","result")
+print(df)