Python | Pandas DataFrame.to_xarray

0 0 1 minute read

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 DataFrame.to_xarray() function return an xarray object from the pandas object.

Syntax: DataFrame.to_xarray()

Parameter : None

Returns : xarray.DataArray or xarray.Dataset

Example #1: Use DataFrame.to_xarray() function to construct an xarray object using 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_ = pd.date_range('2010-10-09 08:45', periods = 5, freq ='H') 
  
# Set the index 
df.index = index_ 
  
# Print the DataFrame 
print(df) 

Output :

Now we will use DataFrame.to_xarray() function to construct an xarray object using the given Dataframe.

# return an xarray object 
result = df.to_xarray() 
  
# Print the result 
print(result) 

Output :

As we can see in the output, the DataFrame.to_xarray() function has successfully constructed an xarray object using the given dataframe.

Example #2: Use DataFrame.to_xarray() function to construct an xarray object using the given dataframe.

# importing pandas as pd 
import pandas as pd 
  
# Creating the 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 the index 
index_ = ['Row_1', 'Row_2', 'Row_3', 'Row_4', 'Row_5'] 
  
# Set the index 
df.index = index_ 
  
# Print the DataFrame 
print(df) 

Output :

Now we will use DataFrame.to_xarray() function to construct an xarray object using the given Dataframe.

# return an xarray object 
result = df.to_xarray() 
  
# Print the result 
print(result) 

Output :

As we can see in the output, the DataFrame.to_xarray() function has successfully constructed an xarray object using the given dataframe.