<add>: pd manipulation

Author: PapyrusNotes

PandasPractice/pd.py

@@ -1,20 +1,32 @@
 import pandas as pd
 '''
-# python dictionary obj to pd.Series obj
+# python dict to pd.Series
 dict_data = {'song_name': 'STAY', 'artist': 'Bustin Jieber', 'release_date': 20220808}
 
 sr = pd.Series(dict_data)
 print(type(sr))
-print('\n')
 print(sr)  ## dtype: object
 
+idx = sr.index
+val = sr.values
+print(idx)
+print(val)
+print(type(val))  ## numpy.ndarray
+print(type(idx))  ## pandas.core.indexes.base.Index
+'''
+
+'''
+python dict to pd.Series
 dict_data2 = {'a': 1, 'b': 2, '3': 20220808}
 sr = pd.Series(dict_data2)
 print(type(sr))
 print('\n')
 print(sr)  ## dtype: int64
+'''
 
 
+'''
+# python dict to pd.Series 
 dict_data3 = {'a': 'apple', 'b': 'bile', 'c': 'cyclone'}
 sr = pd.Series(dict_data3)
 print(type(sr))
@@ -25,14 +37,48 @@
 print(idx)
 print(val)
 print(type(val))  ## numpy.ndarray
+print(type(idx))  ## pandas.core.indexes.base.Index
 '''
 
-# python tuple obj to pd.Series obj
+
+'''
+# python tuple to pd.Series
 tuple_data = ('음성군', '진천읍', True, 4412)
 sr = pd.Series(tuple_data, ['first_loc', 'second_loc', 'including', '_id'])
-print(sr)
+#print(sr)
 
 # slicing , choosing elements.
+sr[0]
+sr['first_loc']
+'''
 
+'''
+# {key:list as value} to Dataframe
+dict_data = {'b1_34': ['24가1023'], 'b1_35': ['12가0734'], 'b2_22': ['09이2831', '28푸2122']}
+# all arrays must be of the same length
+dict_data = {'b1_34': ['24가1023'], 'b1_35': ['12가0734'], 'b2_22': ['09이2831']}
+df = pd.DataFrame(dict_data)  # 행 인덱스에는 정수형 위치 인덱스가 자동 지정된다.
+idx = df.index
+print(df)
+print(type(df))
+print(idx)          # RangeIndex(start=0, stop=1, step=1)
+print(type(idx))    # pandas.core.indexes.range.RangeIndex
+'''
 
+'''
+# two-dimensional python list to Dataframe
+df = pd.DataFrame([[22,'남','덕영중'], [17,'여','수리중']], index=['학생1','학생2'], columns=['age','성별','학교'])
+print(df)
+print(df.index)
+print(type(df.index))    # pandas.core.indexes.base.Index
+print(df.columns)
+print(type(df.columns))  # pandas.core.indexes.base.Index
 
+df.index = ['참가자1', '참가자2']  # '참가자3' 추가시 ValueError: Length mismatch
+df.columns = ['나이', 'gender', '소속']
+print(df)
+print(df.index)
+print(type(df.index))    # pandas.core.indexes.base.Index
+print(df.columns)
+print(type(df.columns))  # pandas.core.indexes.base.Index
+'''