id stringlengths 16 145 | text stringlengths 1 179k | title stringclasses 1
value |
|---|---|---|
pandas_series/pandas_series_54_3.txt | ml)
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pandas_series/pandas_series_85_6.txt | first element of Series or Index.
Raises :
ValueError
If the data is not length = 1.
Examples
>>> s = pd.Series([1])
>>> s.item()
1
For an index:
>>> s = pd.Series([1], index=['a'])
>>> s.index.item()
'a'
[ __ previous pandas.Series.pop ](pan... | |
pandas_series/pandas-settingwithcopywarning0_181_0.txt | Copied!
In both cases, you get the modified DataFrame ` df ` without a `
SettingWithCopyWarning ` . | |
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pandas_series/pandas.DataFrame.mask.html4_22_0.txt | The dtype of the object takes precedence. The fill value is casted to the
objectâs dtype, if this can be done losslessly.
Examples | |
pandas_series/pandas_series_181_4.txt | pandas.Series.str.capitalize.html)
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pandas_series/pandas_series_161_5.txt | ename_categories.html)
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pandas_series/pandas-settingwithcopywarning0_130_0.txt | On the other hand, accessing the first two columns of ` df ` with a list of
labels returns a copy:
Python | |
pandas_series/pandas_series_19_6.txt | e plot using Gaussian kernels.
In statistics, [ kernel density estimation
](https://en.wikipedia.org/wiki/Kernel_density_estimation) (KDE) is a non-
parametric way to estimate the probability density function (PDF) of a random
variable. This function uses Gaussian kernels and includes automatic bandwidth
determination... | |
pandas_series/pandas_series_163_6.txt | nserted to maintain order.
Find the indices into a sorted Series self such that, if the corresponding
elements in value were inserted before the indices, the order of self
would be preserved.
Note
The Series _must_ be monotonically sorted, otherwise wrong locations will
likely be returned. Pandas does _not_ che... | |
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pandas_series/pandas-settingwithcopywarning0_147_0.txt | Here, you don’t receive a ` SettingWithCopyWarning ` and ` df ` isn’t changed
because ` df.loc[["a", "c", "e"]] ` uses a list of indices and returns a copy,
not a view.
There are some cases in which the code works, but pandas issues the warning
anyway: | |
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pandas_series/pandas-settingwithcopywarning0_120_0.txt | When you work with the slices ` 1:3 ` and ` 1:4:2 ` for columns, the views ` a
` and ` b ` are returned. However, when you apply the list ` [1, 3] ` and mask
` [False, True, False, True] ` , you get the copies ` c ` and ` d ` .
The ` .base ` of both ` a ` and ` b ` is ` arr ` itself. Both ` c ` and ` d `
have their ow... | |
pandas_series/pandas-settingwithcopywarning0_204_0.txt | What’s your #1 takeaway or favorite thing you learned? How are you going to
put your newfound skills to use? Leave a comment below and let us know.
Commenting Tips: The most useful comments are those written with the goal of
learning from or helping out other students. Get tips for asking good
questions and get an... | |
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pandas_series/pandas_series_94_7.txt | ow Source
](../../_sources/reference/api/pandas.Series.str.contains.rst.txt)
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pandas_series/dataframe-indexing.html6_8_0.txt | ## Contents
* Label-based Indexing
* Positional Indexing
* Partition Indexing | |
pandas_series/pandas_series_316_2.txt | .drop_duplicates ](pandas.Series.drop_duplicates.html)
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pandas_series/pandas_series_193_3.txt | ml)
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pandas_series/pandas_series_158_1.txt | html)
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pandas_series/pandas_series_335_1.txt | html)
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pandas_series/pandas_series_233_6.txt |
Return unbiased variance over requested axis.
Normalized by N-1 by default. This can be changed using the ddof argument.
Parameters :
**axis** {index (0)}
For Series this parameter is unused and defaults to 0.
Warning
The behavior of DataFrame.var with ` axis=None ` is deprecated, in a future... | |
pandas_series/pandas_series_238_1.txt | html)
* [ pandas.Series.rtruediv ](pandas.Series.rtruediv.html)
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* [ pandas.Series.combine ](pandas.Series.combine.html)
* [ pandas.Serie... | |
pandas_series/pandas_series_269_1.txt | html)
* [ pandas.Series.rtruediv ](pandas.Series.rtruediv.html)
* [ pandas.Series.rfloordiv ](pandas.Series.rfloordiv.html)
* [ pandas.Series.rmod ](pandas.Series.rmod.html)
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* [ pandas.Serie... | |
pandas_series/pandas_series_70_6.txt | :00+00:00", "2/1/2020 11:00:00+00:00"])
>>> s = pd.to_datetime(s)
>>> s
0 2020-01-01 10:00:00+00:00
1 2020-02-01 11:00:00+00:00
dtype: datetime64[ns, UTC]
>>> s.dt.dayofyear
0 1
1 32
dtype: int32
For DatetimeIndex:
>>> idx = pd.DatetimeIndex(["1/1/2020 1... | |
pandas_series/pandas_series_110_5.txt | ndas.Series.cat.reorder_categories ](pandas.Series.cat.reorder_categories.html)
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pandas_series/pandas-settingwithcopywarning0_64_0.txt | Python
>>> view_of_arr.flags.owndata
False
| |
pandas_series/pandas_series_245_7.txt | or ` None `
* If to_replace is a ` dict ` and value is not a ` list ` , ` dict ` , ` ndarray ` , or ` Series `
* If to_replace is ` None ` and regex is not compilable into a regular expression or is a list, dict, ndarray, or Series.
* When replacing multiple ` bool ` or ` datetime64 ` object... | |
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pandas_series/dataframe-indexing.html6_21_0.txt | Note that the result is also a Dask DatFrame.
Index into ` DataFrame.partitions ` to select one or more partitions. For
example, you can select every other partition with a slice: | |
pandas_series/pandas_series_156_6.txt | on of series and other, element-wise (binary operator
rtruediv ).
Equivalent to ` other / series ` , but with support to substitute a
fill_value for missing data in either one of the inputs.
Parameters :
**other** Series or scalar value
**level** int or name
Broadcast across a level, matching... | |
pandas_series/pandas-settingwithcopywarning0_145_0.txt | In some cases, pandas fails to detect the problem and the assignment on the
copy passes without a ` SettingWithCopyWarning ` :
Python | |
pandas_series/pandas_series_268_6.txt | series.py#L4780-L4915) #
Invoke function on values of Series.
Can be ufunc (a NumPy function that applies to the entire Series) or a Python
function that only works on single values.
Parameters :
**func** function
Python function or NumPy ufunc to apply.
**convert_dtype** bool, default True
... | |
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pandas_series/pandas_series_320_6.txt | ay
An ExtensionArray of the values stored within. For extension types, this is
the actual array. For NumPy native types, this is a thin (no copy) wrapper
around [ ` numpy.ndarray `
](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray
"\(in NumPy v1.26\)") .
` .array ` differs fr... | |
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pandas_series/pandas_series_118_4.txt | ndas.Series.str.capitalize ](pandas.Series.str.capitalize.html)
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pandas_series/pandas_series_127_6.txt |
**name_or_index** str | bytes | int | expression | list
Name or index of the child field to extract.
For list-like inputs, this will index into a nested struct.
Returns :
pandas.Series
The data corresponding to the selected child field.
See also
[ ` Series.struct.explode `
](pandas.Seri... | |
pandas_series/pandas_series_91_5.txt | as.Series.cat.rename_categories.html)
* [ pandas.Series.cat.reorder_categories ](pandas.Series.cat.reorder_categories.html)
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pandas_series/pandas_series_230_3.txt | ml)
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pandas_series/pandas_series_30_6.txt | series.py#L3281-L3361) #
Compare to another Series and show the differences.
Parameters :
**other** Series
Object to compare with.
**align_axis** {0 or âindexâ, 1 or âcolumnsâ}, default 1
Determine which axis to align the comparison on.
* 0, or âindexâ Resulting difference... | |
pandas_series/pandas_series_237_2.txt | vel.html)
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pandas_series/pandas_series_335_4.txt | ndas.Series.str.capitalize.html)
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pandas_series/pandas_series_129_4.txt | ](pandas.Series.str.capitalize.html)
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pandas_series/pandas-settingwithcopywarning0_199_0.txt | Jacob
Master Real-World Python Skills With Unlimited Access to Real Python | |
pandas_series/pandas-settingwithcopywarning0_198_0.txt | Geir Arne
Joanna | |
pandas_series/pandas-settingwithcopywarning0_148_0.txt | Python
>>> df = pd.DataFrame(data=data, index=index)
>>> df[:3]["z"] = 0 # Assignment succeeds, with warning
__main__:1: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead
See the cav... | |
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pandas_series/pandas_series_340_2.txt | vel.html)
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pandas_series/pandas_series_122_5.txt | (pandas.Series.cat.rename_categories.html)
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pandas_series/pandas_series_266_2.txt | vel.html)
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pandas_series/pandas_series_175_5.txt | ies.cat.rename_categories.html)
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pandas_series/pandas_series_263_4.txt | ndas.Series.str.capitalize ](pandas.Series.str.capitalize.html)
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pandas_series/pandas-settingwithcopywarning0_177_0.txt | If you repeat the same code, but with different data types in the columns of `
df ` , then you’ll get a different behavior:
Python | |
pandas_series/pandas-settingwithcopywarning0_106_0.txt | Python
# `arr` is the original array:
arr = np.array([1, 2, 4, 8, 16, 32])
# `a` and `b` are views created through slicing:
a = arr[1:3]
b = arr[1:4:2]
# `c` and `d` are copies created through integer and Boolean indexing:
c = arr[[1, 3]]
d = arr[[False, True, False,... | |
pandas_series/pandas_series_190_4.txt | s.Series.str.capitalize.html)
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pandas_series/pandas_series_232_4.txt | es.str.capitalize.html)
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pandas_series/pandas_series_107_4.txt | as.Series.str.capitalize.html)
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pandas_series/pandas_series_139_3.txt | .sparse ](pandas.DataFrame.sparse.html)
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pandas_series/pandas_series_221_6.txt | artrow = 0 _ , _ startcol = 0 _ , _ engine = None _ , _ merge_cells
= True _ , _ inf_rep = 'inf' _ , _ freeze_panes = None _ , _
storage_options = None _ , _ engine_kwargs = None _ ) [ [source]
](https://github.com/pandas-
dev/pandas/blob/v2.2.1/pandas/core/generic.py#L2259-L2423) #
Write... | |
pandas_series/pandas-settingwithcopywarning0_2_0.txt | * Search
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pandas_series/pandas_series_65_1.txt | html)
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pandas_series/pandas_series_145_5.txt | (pandas.Series.cat.rename_categories.html)
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