Suppose we want to change the order of the index of series, then we have to use the Series.reindex() Method of pandas module for performing this task.
Series, which is a 1-D labeled array capable of holding any data.
Syntax: pandas.Series(data, index, dtype, copy)
Parameters:
- data takes ndarrys, list, constants.
- index values.
- dtypes for data types.
- Copy data, default is False.
For knowing more about the pandas Series click here.
Series.reindex() Method is used for changing the data on the basis of indexes.
Syntax: Series.reindex(labels=None, index=None, columns=None, axis=None, method=None, copy=True, level=None, fill_value=nan, limit=None, tolerance=None)
For knowing more about the pandas Series.reindex() method click here.
Let's create a series:
# import required library
import pandas as pd
import numpy as np
# create numpy array
data = np.array(["Android dev",
"content writing",
"competitive coding"])
#create a series
total_series = pd.Series(data,
index = [1, 2, 3])
# show the series
total_series
Output:
Example 1:
# import required library
import pandas as pd
import numpy as np
# create numpy array
data = np.array(["Android dev",
"content writing",
"competitive coding"])
# create a series
total_series = pd.Series(data,
index = [1, 2, 3])
# reindexing of series
total_series = total_series.reindex(index
= [3, 2, 1])
# show the series
total_series
Output:
Example 2:
# import required library
import pandas as pd
import numpy as np
# create numpy array
data = np.array(["Android dev",
"content writing",
"competitive coding"])
# create a series
total_series = pd.Series(data,
index = [1, 2, 3])
# reindexing of series
total_series = total_series.reindex([2, 3, 1])
# show the series
total_series
Output:
