Code Sample, a copy-pastable example if possible import pandas as pd, numpy as np df = pd.DataFrame({'a': np.arange(1,6), 'b': np.arange(1,6)+2, 'c': np.arange(1,6)**2}) print(f"all columns are int: \n{df}") df.loc[2,'b'] = np.nan print(...
```python dfDiff = df_OLD.copy() for row in range(dfDiff.shape[0]): for col in range(dfDiff.shape[1]): value_OLD = df_OLD.iloc[row,col] value_NEW = df_NEW.iloc[row,col] if value_OLD==value_NEW: dfDiff.iloc[row,col] = df_NEW.iloc[row,col] else: dfDiff.iloc[row,co...
```python dfDiff = df_OLD.copy() for row in range(dfDiff.shape[0]): for col in range(dfDiff.shape[1]): value_OLD = df_OLD.iloc[row,col] value_NEW = df_NEW.iloc[row,col] if value_OLD==value_NEW: dfDiff.iloc[row,col] = df_NEW.iloc[row,col] else: dfDiff.iloc[row,co...