Add example to Dataframe.head() method's docstring.
#18746
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pandas/core/generic.py
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| Examples | ||
| -------- | ||
| >>> df = pd.DataFrame({ | ||
| ... 'col1' : ['A', 'A', 'B', np.nan, 'D', 'C', 'E', 'E', 'F'], |
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Remove extra space after you finish the string:
'col1':
Instead of:
'col1' :
pandas/core/generic.py
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| 0 A 2 0 | ||
| 1 A 1 1 | ||
| 2 B 9 9 | ||
| 3 NaN 8 4 |
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Why are you adding a nan value?
This is creating a mixed type column. (floats and strings) is this intentional?
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NaN is used for marking missing values in string (object) dtype columns too, so this is OK.
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just copied from an example above, but I agree. It made sense in the sort_values, but not really here.
pandas/core/generic.py
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| 4 D 7 2 | ||
|
|
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| Viewing the first n lines (three in this case) | ||
| >>> df.head(n=3) |
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You don't need to specify n
the same thing can be achieved with:
df.head(3)
Codecov Report
@@ Coverage Diff @@
## master #18746 +/- ##
==========================================
- Coverage 91.59% 91.57% -0.02%
==========================================
Files 153 153
Lines 51364 51364
==========================================
- Hits 47046 47037 -9
- Misses 4318 4327 +9
Continue to review full report at Codecov.
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Codecov Report
@@ Coverage Diff @@
## master #18746 +/- ##
==========================================
+ Coverage 91.59% 91.59% +<.01%
==========================================
Files 153 153
Lines 51364 51364
==========================================
+ Hits 47046 47049 +3
+ Misses 4318 4315 -3
Continue to review full report at Codecov.
|
closes #18691
closes #16416