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Solution from these threads

Comparing two pandas dataframes for differencesComparing two pandas dataframes for differences

Pandas DataFrames with NaNs equality comparisonPandas DataFrames with NaNs equality comparison

def df_equal(self): try: assert_frame_equal(csvdata, csvdata_old) return True except: return False

For a dictionary of dataframes:

def df_equal(df1, df2): try: assert_frame_equal(df1, df2) return True except: return False def __eq__(self, other): if self.df.keys() != other.keys(): return False for k in self.df.keys(): if not df_equal(self.df[k], other[k]): return False return True

Solution from these threads

Comparing two pandas dataframes for differences

Pandas DataFrames with NaNs equality comparison

def df_equal(self): try: assert_frame_equal(csvdata, csvdata_old) return True except: return False

For a dictionary of dataframes:

def df_equal(df1, df2): try: assert_frame_equal(df1, df2) return True except: return False def __eq__(self, other): if self.df.keys() != other.keys(): return False for k in self.df.keys(): if not df_equal(self.df[k], other[k]): return False return True

Solution from these threads

Comparing two pandas dataframes for differences

Pandas DataFrames with NaNs equality comparison

def df_equal(self): try: assert_frame_equal(csvdata, csvdata_old) return True except: return False

For a dictionary of dataframes:

def df_equal(df1, df2): try: assert_frame_equal(df1, df2) return True except: return False def __eq__(self, other): if self.df.keys() != other.keys(): return False for k in self.df.keys(): if not df_equal(self.df[k], other[k]): return False return True
adding additional example code in response to a comment
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ate50eggs
ate50eggs
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Solution from these threads

Comparing two pandas dataframes for differences

Pandas DataFrames with NaNs equality comparison

def __eq__df_equal(self): try: assert_frame_equal(csvdata, other_dfcsvdata_old) return True except:   return False

For a dictionary of dataframes:

def df_equal(df1, df2): try: assert_frame_equal(self.dfdf1, other_dfdf2) return True except: return False def __eq__(self, other): if self.df.keys() != other.keys():  return False for k in self.df.keys(): if not df_equal(self.df[k], other[k]): return NotImplementedFalse return True

Solution from these threads

Comparing two pandas dataframes for differences

Pandas DataFrames with NaNs equality comparison

def __eq__(self, other_df): try: assert_frame_equal(self.df, other_df) return True except: return False return NotImplemented

Solution from these threads

Comparing two pandas dataframes for differences

Pandas DataFrames with NaNs equality comparison

def df_equal(self): try: assert_frame_equal(csvdata, csvdata_old) return True except:   return False

For a dictionary of dataframes:

def df_equal(df1, df2): try: assert_frame_equal(df1, df2) return True except: return False def __eq__(self, other): if self.df.keys() != other.keys():  return False for k in self.df.keys(): if not df_equal(self.df[k], other[k]): return False return True
Edited to match the format of the question better
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ate50eggs
ate50eggs
  • 454
  • 3
  • 14

Solution from these threads

Comparing two pandas dataframes for differences

Pandas DataFrames with NaNs equality comparison

def df_equal__eq__(self, other_df): try: assert_frame_equal(csvdataself.df, csvdata_oldother_df) return True except: return False return NotImplemented

Solution from these threads

Comparing two pandas dataframes for differences

Pandas DataFrames with NaNs equality comparison

def df_equal(self): try: assert_frame_equal(csvdata, csvdata_old) return True except: return False

Solution from these threads

Comparing two pandas dataframes for differences

Pandas DataFrames with NaNs equality comparison

def __eq__(self, other_df): try: assert_frame_equal(self.df, other_df) return True except: return False return NotImplemented
Source Link
ate50eggs
ate50eggs
  • 454
  • 3
  • 14