Maybe a very naive question, but I am stuck in this: pandas.Series
has a method sort_values
and there is an option to do it "in place" or not. I have Googled for it a while, but I am not very clear about it. It seems that this thing is assumed to be perfectly known to everybody but me. Could anyone give me some illustrative explanation how these two options differ each other for dummies...?
Thank you for any assistance.
Here an example. df1
will hold sorted dataframe and df
will be intact
import pandas as pd
from datetime import datetime as dt
df = pd.DataFrame(data=[22,22,3],
index=[dt(2016, 11, 10, 0), dt(2016, 11, 10, 13), dt(2016, 11, 13, 5)],
columns=['foo'])
df1 = df.sort_values(by='foo')
print(df, df1)
In the case below, df
will hold sorted values
import pandas as pd
from datetime import datetime as dt
df = pd.DataFrame(data=[22,22,3],
index=[dt(2016, 11, 10, 0), dt(2016, 11, 10, 13), dt(2016, 11, 13, 5)],
columns=['foo'])
df.sort_values(by='foo', inplace=True)
print(df)