i have the data-set that contains some NAN values i tried this to drop it but its still showing
df['string_tweet'].dropna(inplace=True)
df['string_tweet']
this is the output
113 apc started let ’ finish started
235 upon vote katsina , apc government left state ...
1796 two people contesting office , one person win ...
1798 deji said peter obi jumping church church.na d...
1850 amnesia set , lem say deleting incriminating p...
...
378726 nan
378727 nan
378728 nan
378729 nan
378730 nan
Name: string_tweet, Length: 63664, dtype: object
CodePudding user response:
Use the subset argument to work on the whole dataframe:
df.dropna(subset=['string_tweet'], inplace=True)
CodePudding user response:
I guess, that the pictured nan
are of type numpy.ndarray
try to convert your column before droping the NaN.
df['string_tweet']=df['string_tweet'].astype(float)