title: Load a Panda Dataframe with timestamp columns having blank values into Teradata
body: <p>I have a dataframe with timestamp columns (datetime64). I have a dummy value 1900-01-01 00:00:00 that I need to convert to blank spaces. When I do this and push the df to teradata it throws an Invalid Timestamp error :</p>
  
  <pre><code>#Replacing 4 timestamp columns having dummy value with blank spaces
  df[ts_cols[dt]]=df[ts_cols[dt]].astype(str).str.strip().replace('1900-01-01 00:00:00','')
  # Converting other null columns to blanks
  df=df.astype(object).where(pd.notnull(df),'')
  
  print(type(df2['timestamp_col1']))
  
  It gives me &lt;class 'pandas.core.series.Series'&gt; 
  </code></pre>
  
  <p>How do i successfully convert the dummy value to blank and push the dataframe to an existing table in teradata having timestamp(0) datatype?</p>