Pandas

• Removing first k rows df = df.iloc[k:] will give the dataframe with first k rows removed.
• Removing specific rows df.drop([3,10], axis=0, inplace=True) will remove 3rd, 10th row.
• Replacing values df.at[i,"col_name"]=some_value to change the ith row of column col_name with value some_value.
• Generate LaTeX table directly df.to_latex.
• Comma separation for large numbers df.style.format(thousands = ',').
• df['col1'].map(di) to change all values in col1 based on the dictionary di. Entries with no key will be mapped to NaNs.