DataFrame insert row and column at specified position

Example

df = pd.DataFrame({'col1': [1, 2], 'col2': [3, 4]})

Insert column at specified position

Official documentation: pandas.DataFrame.insert

DataFrame.insert(loc, column, value, allow_duplicates=False)

• loc: where to insert
• column: inserted column name
• value: the value of the inserted column
• allow_duplicates: whether to allow duplicate columns

# Insert data into the first columndf.insert(0,"col0",[span>99,99])

Insert row at specified location

pd.append cannot add rows at the specified position, only the original DataFrame can be split, and then combined after adding data

row = 0 # where to insertvalue = pd.DataFrame([['1','Five',10]],columns=df.columns) # inserted datadf_tmp1 = df[:row]df_tmp2 = df[row:]# Insert merged data tabledf = df_tmp1.append(value).append(df_tmp2)