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== DataSeries ==
==DataSeries==
<syntaxhighlight lang="python3">
<syntaxhighlight lang="python3">
s = pd.Series(['banana', 42])
s = pd.Series(['banana', 42])
s = pd.Series(['banana', 42], index=['Fruit', 'Calories'])
s = pd.Series(['banana', 42], index=['Fruit', 'Calories'])
s.values
s.keys()
s.values[0]
s.keys()[0]
s.min()
s.max()
s.std()
</syntaxhighlight>
</syntaxhighlight>
==Dataframe==
==Dataframe==
=== Create ===
===Create===
<syntaxhighlight lang="python3">
<syntaxhighlight lang="python3">
scientists = pd.DataFrame({
scientists = pd.DataFrame({
'Died': ['1958-04-16', '1937-10-16'],
'Died': ['1958-04-16', '1937-10-16'],
})
})
</syntaxhighlight>If you want to keep the order of columns:<syntaxhighlight lang="python3">
scientists = pd.DataFrame({
'Occupation': ['Chemist', 'Statistician'],
'Born': ['1920-07-25', '1876-06-13'],
'Died': ['1958-04-16', '1937-10-16'],
}, index=['Rosaline Franklin', 'William Gosset'], columns=['Occupation', 'Born', 'Died'])
</syntaxhighlight>
</syntaxhighlight>
=== From CSV ===
===From CSV===
<syntaxhighlight lang="python3">
<syntaxhighlight lang="python3">
news = pd.read_csv('news_2019.05.10.csv')
news = pd.read_csv('news_2019.05.10.csv')
df.tail()
df.tail()
df.info()
df.info()
df.describe()
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</syntaxhighlight>
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[[Category:Python]]
[[Category:Python]]
[[Category:DataScience]]