I converted a binary string variable to 0s and 1s, but somehow I ended up with an instance of 0.5289256. I am trying to remove that one row, with several ways I have found online, but it is still there: OG_df_dropped = OG_df.query("type != 0.528926 ") unique_values = OG_df_dropped ['type'].unique() print(unique_values) [0. 0.52892562 1. ] I have also tried this: i = OG_df[((OG_df.type == 0.528926 ) )].index print(i) OG_df.drop(i) Again, same results What am I missing or doing wrong? Continue reading...
