Python | Pandas DataFrame.to_records

DataFrame.to_records() Pandas DataFrame.to_records() converts the DataFrame to an array of NumPy records. The index will be included as the first field in the array of records when requested.

Syntax: DataFrame.to_records (index = True, convert_datetime64 = None, column_dtypes = None, index_dtypes = None )

Parameter:
index: bool, default True
convert_datetime64: Whether to convert the index to datetime.datetime if it is a DatetimeIndex.
column_dtypes: If a string or type, the data type to store all columns
index_dtypes: If a string or type, the data type to store all index levels

Returns: numpy.recarray

Example # 1: Use DataFrame.to_records () to convert this Dataframe to an array of records.

Output:

We will now use DataFrame.to_records () to convert this dataset to a representation of an array of recorded records.

# import pandas as pd  import pandas as pd   # Create DataFrame df = pd.DataFrame ({ ’Weight’ : [ 45 , 88 , 56 , 15 , 71 ], ’Name’ : [ ’Sam’ , ’Andrea’ , ’ Alex’ , ’Robin’ , ’ Kia’ ], ’ Age’ : [ 14 , 25 , 55 , 8 , 21 ]} )   # Create index index_ = pd.date_range ( ’2010-10-09 08:45’ , periods = 5 , freq = ’H’ )   # Set index df.index = index_    # Print DataFrame print (df)

# convert to array of records result = df.to_records ()    # Print result print (result)

Output:

As we can see in the output, DataFrame.to_records () successfully converted this dataframe to an array of records.

Example # 2: Use DataFrame.to_records () to convert this Dataframe to an array of records.

# pandas import as pd import pandas as pd   # Create DataFrame df = pd.DataFrame ({ " A " : [ 12 , 4 , 5 , None , 1 ] ,  "B" : [ 7 , 2 , 54 , 3 , None ],    "C" : [ 20 , 16 , 11 , 3 , 8 ],    " D " : [ 14 , 3 , None , 2 , 6 ]})    # Create index index_ = [ ’Row_1’ , ’Row_2’ , ’ Row_3’ , ’Row_4’ ,  ’Row_5’ ]    # Set index df.index = index_    # Print DataFrame print (df)

Output:

We will now use DataFrame.to_records () to convert this dataset to a representation of an array of recorded records.

# convert to array of records result = df.to_records ()    # Print result print (result)

Output:

As we can see in the output, DataFrame.to_records () has successfully converted this dataframe to an array of records.