@@ -302,11 +302,11 @@ def func(*date_cols):
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prefix = 'X' ,
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parse_dates = {'nominal' : [1 , 2 ],
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'actual' : [1 , 3 ]})
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- self .assert_ ('nominal' in df )
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- self .assert_ ('actual' in df )
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- self .assert_ ('X1' not in df )
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- self .assert_ ('X2' not in df )
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- self .assert_ ('X3' not in df )
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+ self .assertIn ('nominal' , df )
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+ self .assertIn ('actual' , df )
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+ self .assertNotIn ('X1' , df )
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+ self .assertNotIn ('X2' , df )
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+ self .assertNotIn ('X3' , df )
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d = datetime (1999 , 1 , 27 , 19 , 0 )
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self .assertEqual (df .ix [0 , 'nominal' ], d )
@@ -316,12 +316,12 @@ def func(*date_cols):
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parse_dates = {'nominal' : [1 , 2 ],
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'actual' : [1 , 3 ]},
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keep_date_col = True )
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- self .assert_ ('nominal' in df )
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- self .assert_ ('actual' in df )
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+ self .assertIn ('nominal' , df )
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+ self .assertIn ('actual' , df )
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- self .assert_ ( 1 in df )
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- self .assert_ ( 2 in df )
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- self .assert_ ( 3 in df )
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+ self .assertIn ( 1 , df )
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+ self .assertIn ( 2 , df )
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+ self .assertIn ( 3 , df )
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data = """\
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KORD,19990127, 19:00:00, 18:56:00, 0.8100, 2.8100, 7.2000, 0.0000, 280.0000
@@ -335,23 +335,23 @@ def func(*date_cols):
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prefix = 'X' ,
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parse_dates = [[1 , 2 ], [1 , 3 ]])
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- self .assert_ ('X1_X2' in df )
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- self .assert_ ('X1_X3' in df )
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- self .assert_ ('X1' not in df )
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- self .assert_ ('X2' not in df )
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- self .assert_ ('X3' not in df )
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+ self .assertIn ('X1_X2' , df )
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+ self .assertIn ('X1_X3' , df )
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+ self .assertNotIn ('X1' , df )
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+ self .assertNotIn ('X2' , df )
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+ self .assertNotIn ('X3' , df )
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d = datetime (1999 , 1 , 27 , 19 , 0 )
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self .assertEqual (df .ix [0 , 'X1_X2' ], d )
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df = read_csv (StringIO (data ), header = None ,
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parse_dates = [[1 , 2 ], [1 , 3 ]], keep_date_col = True )
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- self .assert_ ('1_2' in df )
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- self .assert_ ('1_3' in df )
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- self .assert_ ( 1 in df )
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- self .assert_ ( 2 in df )
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- self .assert_ ( 3 in df )
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+ self .assertIn ('1_2' , df )
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+ self .assertIn ('1_3' , df )
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+ self .assertIn ( 1 , df )
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+ self .assertIn ( 2 , df )
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+ self .assertIn ( 3 , df )
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data = '''\
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KORD,19990127 19:00:00, 18:56:00, 0.8100, 2.8100, 7.2000, 0.0000, 280.0000
@@ -378,7 +378,7 @@ def test_multiple_date_cols_int_cast(self):
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# it works!
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df = self .read_csv (StringIO (data ), header = None , parse_dates = date_spec ,
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date_parser = conv .parse_date_time )
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- self .assert_ ('nominal' in df )
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+ self .assertIn ('nominal' , df )
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def test_multiple_date_col_timestamp_parse (self ):
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data = """05/31/2012,15:30:00.029,1306.25,1,E,0,,1306.25
@@ -523,7 +523,7 @@ def test_malformed(self):
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StringIO (data ), sep = ',' , header = 1 , comment = '#' )
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self .assert_ (False )
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except Exception as inst :
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- self .assert_ ('Expected 3 fields in line 4, saw 5' in str (inst ))
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+ self .assertIn ('Expected 3 fields in line 4, saw 5' , str (inst ))
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# skip_footer
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data = """ignore
@@ -540,7 +540,7 @@ def test_malformed(self):
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skip_footer = 1 )
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self .assert_ (False )
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except Exception as inst :
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- self .assert_ ('Expected 3 fields in line 4, saw 5' in str (inst ))
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+ self .assertIn ('Expected 3 fields in line 4, saw 5' , str (inst ))
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# first chunk
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data = """ignore
@@ -558,7 +558,7 @@ def test_malformed(self):
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df = it .read (5 )
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self .assert_ (False )
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except Exception as inst :
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- self .assert_ ('Expected 3 fields in line 6, saw 5' in str (inst ))
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+ self .assertIn ('Expected 3 fields in line 6, saw 5' , str (inst ))
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# middle chunk
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data = """ignore
@@ -577,7 +577,7 @@ def test_malformed(self):
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it .read (2 )
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self .assert_ (False )
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except Exception as inst :
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- self .assert_ ('Expected 3 fields in line 6, saw 5' in str (inst ))
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+ self .assertIn ('Expected 3 fields in line 6, saw 5' , str (inst ))
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# last chunk
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data = """ignore
@@ -596,7 +596,7 @@ def test_malformed(self):
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it .read ()
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self .assert_ (False )
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except Exception as inst :
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- self .assert_ ('Expected 3 fields in line 6, saw 5' in str (inst ))
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+ self .assertIn ('Expected 3 fields in line 6, saw 5' , str (inst ))
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def test_passing_dtype (self ):
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@@ -1698,7 +1698,7 @@ def test_multiple_date_cols_chunked(self):
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chunks = list (reader )
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- self .assert_ ('nominalTime' not in df )
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+ self .assertNotIn ('nominalTime' , df )
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tm .assert_frame_equal (chunks [0 ], df [:2 ])
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tm .assert_frame_equal (chunks [1 ], df [2 :4 ])
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