SettingWithCopyWarning in pandas dataframe

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SettingWithCopyWarning in pandas dataframe



Following lines of code give me a SettingWithCopyWarning in pandas. I refereed similar questions in SettingWithCopyWarning in pandas and SettingWithCopyWarning in Pandas DataFrame using Python and also http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy. But I could not understand them. How do I fix this in the following code?


print("Applying sentiment analysisn")
analyzer = SentimentIntensityAnalyzer()
reordered['sentiments'] = reordered['text'].apply(lambda row: list(map(analyzer.polarity_scores, row)))
print(reordered.head())



reordered.head(5).to_dict())


'id': 0: 1042616899408945154, 1: 1042592536769044487, 2: 1042587702040903680, 3: 1042587263643930626, 4: 1042586780292276230, 'date': 0: '2018-09-20', 1: '2018-09-20', 2: '2018-09-20', 3: '2018-09-20', 4: '2018-09-20', 'time': 0: '03:30:14', 1: '01:53:25', 2: '01:34:13', 3: '01:32:28', 4: '01:30:33', 'text': 0: "b'\xf0\x9f\x8c\xb9 are red, violets are blue, if you want to buy us \xf0\x9f\x92\x90, here is a CLUE \xf0\x9f\x98\x89 Our #flowerpowered eye & cheek palette is AL\xe2\x80\xa6'", 1: "b'\xf0\x9f\x8e\xb5Is it too late now to say sorry\xf0\x9f\x8e\xb5 #tartetalk #memes'", 2: "b'@JillianJChase Oh no! Please email your order # to social@tarte.com & we can help \xf0\x9f\x92\x95'", 3: 'b"@Danikins__ It's best applied with our buffer brush! \xf0\x9f\x92\x9c\xc2\xa0"', 4: "b'@AdelaineMorin DEAD \xf0\x9f\xa4\xa3\xf0\x9f\xa4\xa3\xf0\x9f\xa4\xa3'", 'hasMedia': 0: 0, 1: 1, 2: 0, 3: 0, 4: 0, 'hasHashtag': 0: 1, 1: 1, 2: 0, 3: 0, 4: 0, 'followers_count': 0: 801745, 1: 801745, 2: 801745, 3: 801745, 4: 801745, 'retweet_count': 0: 17, 1: 94, 2: 0, 3: 0, 4: 0, 'favourite_count': 0: 181, 1: 408, 2: 0, 3: 0, 4: 14









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