Why does the value changes after set_index?












2















import pandas as pd
df = pd.read_csv('node.txt', header=None)
df = df.sort_values([1, 2, 3], ascending=[False, False, True])
dff2 = df
df = df.reset_index(drop=True)
dff = df


I tried to sort the columns in order of column number and checked the dataframe dff2 and dff.
However, after the reset_index method the values in column are little different.



dff2



enter image description here



dff



enter image description here










share|improve this question




















  • 2





    Could you post a reproducible example as text, not images? In the meantime, try rerunning your code, but with dff2 = df.copy() instead of dff2 = df.

    – Peter Leimbigler
    Nov 20 '18 at 3:16











  • It works. thank you! Is there a reason why you recommended .copy() method?

    – Kevin Nam
    Nov 20 '18 at 7:18













  • From the python docs (docs.python.org/3/library/copy.html): Assignment statements in Python do not copy objects, they create bindings between a target and an object. For collections that are mutable or contain mutable items, a copy is sometimes needed so one can change one copy without changing the other.

    – Peter Leimbigler
    Nov 20 '18 at 13:41
















2















import pandas as pd
df = pd.read_csv('node.txt', header=None)
df = df.sort_values([1, 2, 3], ascending=[False, False, True])
dff2 = df
df = df.reset_index(drop=True)
dff = df


I tried to sort the columns in order of column number and checked the dataframe dff2 and dff.
However, after the reset_index method the values in column are little different.



dff2



enter image description here



dff



enter image description here










share|improve this question




















  • 2





    Could you post a reproducible example as text, not images? In the meantime, try rerunning your code, but with dff2 = df.copy() instead of dff2 = df.

    – Peter Leimbigler
    Nov 20 '18 at 3:16











  • It works. thank you! Is there a reason why you recommended .copy() method?

    – Kevin Nam
    Nov 20 '18 at 7:18













  • From the python docs (docs.python.org/3/library/copy.html): Assignment statements in Python do not copy objects, they create bindings between a target and an object. For collections that are mutable or contain mutable items, a copy is sometimes needed so one can change one copy without changing the other.

    – Peter Leimbigler
    Nov 20 '18 at 13:41














2












2








2








import pandas as pd
df = pd.read_csv('node.txt', header=None)
df = df.sort_values([1, 2, 3], ascending=[False, False, True])
dff2 = df
df = df.reset_index(drop=True)
dff = df


I tried to sort the columns in order of column number and checked the dataframe dff2 and dff.
However, after the reset_index method the values in column are little different.



dff2



enter image description here



dff



enter image description here










share|improve this question
















import pandas as pd
df = pd.read_csv('node.txt', header=None)
df = df.sort_values([1, 2, 3], ascending=[False, False, True])
dff2 = df
df = df.reset_index(drop=True)
dff = df


I tried to sort the columns in order of column number and checked the dataframe dff2 and dff.
However, after the reset_index method the values in column are little different.



dff2



enter image description here



dff



enter image description here







python-3.x pandas






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 20 '18 at 8:10









Aqueous Carlos

293213




293213










asked Nov 20 '18 at 2:17









Kevin NamKevin Nam

113




113








  • 2





    Could you post a reproducible example as text, not images? In the meantime, try rerunning your code, but with dff2 = df.copy() instead of dff2 = df.

    – Peter Leimbigler
    Nov 20 '18 at 3:16











  • It works. thank you! Is there a reason why you recommended .copy() method?

    – Kevin Nam
    Nov 20 '18 at 7:18













  • From the python docs (docs.python.org/3/library/copy.html): Assignment statements in Python do not copy objects, they create bindings between a target and an object. For collections that are mutable or contain mutable items, a copy is sometimes needed so one can change one copy without changing the other.

    – Peter Leimbigler
    Nov 20 '18 at 13:41














  • 2





    Could you post a reproducible example as text, not images? In the meantime, try rerunning your code, but with dff2 = df.copy() instead of dff2 = df.

    – Peter Leimbigler
    Nov 20 '18 at 3:16











  • It works. thank you! Is there a reason why you recommended .copy() method?

    – Kevin Nam
    Nov 20 '18 at 7:18













  • From the python docs (docs.python.org/3/library/copy.html): Assignment statements in Python do not copy objects, they create bindings between a target and an object. For collections that are mutable or contain mutable items, a copy is sometimes needed so one can change one copy without changing the other.

    – Peter Leimbigler
    Nov 20 '18 at 13:41








2




2





Could you post a reproducible example as text, not images? In the meantime, try rerunning your code, but with dff2 = df.copy() instead of dff2 = df.

– Peter Leimbigler
Nov 20 '18 at 3:16





Could you post a reproducible example as text, not images? In the meantime, try rerunning your code, but with dff2 = df.copy() instead of dff2 = df.

– Peter Leimbigler
Nov 20 '18 at 3:16













It works. thank you! Is there a reason why you recommended .copy() method?

– Kevin Nam
Nov 20 '18 at 7:18







It works. thank you! Is there a reason why you recommended .copy() method?

– Kevin Nam
Nov 20 '18 at 7:18















From the python docs (docs.python.org/3/library/copy.html): Assignment statements in Python do not copy objects, they create bindings between a target and an object. For collections that are mutable or contain mutable items, a copy is sometimes needed so one can change one copy without changing the other.

– Peter Leimbigler
Nov 20 '18 at 13:41





From the python docs (docs.python.org/3/library/copy.html): Assignment statements in Python do not copy objects, they create bindings between a target and an object. For collections that are mutable or contain mutable items, a copy is sometimes needed so one can change one copy without changing the other.

– Peter Leimbigler
Nov 20 '18 at 13:41












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