Python | Pandas DataFrame.ftypes
Last Updated :
20 Feb, 2019
Improve
Pandas DataFrame is a two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). Arithmetic operations align on both row and column labels. It can be thought of as a dict-like container for Series objects. This is the primary data structure of the Pandas.
Pandas
Python3
Output :
Now we will use
Python3 1==
Output :
As we can see in the output, the
Python3
Output :
Now we will use
Python3 1==
Output :
As we can see in the output, the
DataFrame.ftypes
attribute return the ftypes (indication of sparse/dense and dtype) in DataFrame. It returns a Series with the data type of each column.
Syntax: DataFrame.ftypes Parameter : None Returns : seriesExample #1: Use
DataFrame.ftypes
attribute to check if the columns are sparse or dense in the given Dataframe.
# importing pandas as pd
import pandas as pd
# Creating the DataFrame
df = pd.DataFrame({'Weight':[45, 88, 56, 15, 71],
'Name':['Sam', 'Andrea', 'Alex', 'Robin', 'Kia'],
'Age':[14, 25, 55, 8, 21]})
# Create the index
index_ = ['Row_1', 'Row_2', 'Row_3', 'Row_4', 'Row_5']
# Set the index
df.index = index_
# Print the DataFrame
print(df)

DataFrame.ftypes
attribute to check the ftype of the columns in the given dataframe.
# check if the column are
# dense or sparse
result = df.ftypes
# Print the result
print(result)

DataFrame.ftypes
attribute has successfully returned a series containing the ftypes of each column in the given dataframe.
Example #2: Use DataFrame.ftypes
attribute to check if the columns are sparse or dense in the given Dataframe.
# importing pandas as pd
import pandas as pd
# Create an array
arr = [100, 35, 125, 85, 35]
# Creating a sparse DataFrame
df = pd.SparseDataFrame(arr)
# Print the DataFrame
print(df)

DataFrame.ftypes
attribute to check the ftype of the columns in the given dataframe.
# check if the column are
# dense or sparse
result = df.ftypes
# Print the result
print(result)

DataFrame.ftypes
attribute has successfully returned the ftype of the given dataframe.