id stringlengths 16 145 | text stringlengths 1 179k | title stringclasses 1
value |
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pandas_series/pandas-settingwithcopywarning0_37_0.txt | Python
>>> df[mask]["z"] = 0
__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 caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/in... | |
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pandas_series/pandas_series_214_7.txt | 64
Apply a key function before sorting
>>> s = pd.Series([1, 2, 3, 4], index=['A', 'b', 'C', 'd'])
>>> s.sort_index(key=lambda x : x.str.lower())
A 1
b 2
C 3
d 4
dtype: int64
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pandas_series/pandas_series_52_6.txt | seconds_series = pd.Series(pd.date_range("2000-01-01", periods=3, freq="s"))
>>> seconds_series
0 2000-01-01 00:00:00
1 2000-01-01 00:00:01
2 2000-01-01 00:00:02
dtype: datetime64[ns]
>>> seconds_series.dt.second
0 0
1 1
2 2
dtype: int32
>>> hour... | |
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pandas_series/pandas-settingwithcopywarning0_43_0.txt | An alternative way to fix this issue is to change the evaluation order:
Python | |
pandas_series/pandas_series_136_6.txt | s.
Parameters :
**func** function
Function to apply to the Series/DataFrame. ` args ` , and ` kwargs ` are
passed into ` func ` . Alternatively a ` (callable, data_keyword) ` tuple
where ` data_keyword ` is a string indicating the keyword of ` callable `
that expects the Series/DataFrame.
***arg... | |
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pandas_series/pandas_series_308_6.txt | DataFrame
The data corresponding to all child fields.
See also
[ ` Series.struct.field `
](pandas.Series.struct.field.html#pandas.Series.struct.field
"pandas.Series.struct.field")
Return a single child field as a Series.
Examples
>>> import pyarrow as pa
>>> s = pd.Series(
... ... | |
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pandas_series/pandas_series_256_6.txt | n same-sized object indicating if the values are not NA. Non-
missing values get mapped to True. Characters such as empty strings ` '' ` or
` numpy.inf ` are not considered NA values (unless you set `
pandas.options.mode.use_inf_as_na = True ` ). NA values, such as None or `
numpy.NaN ` , get mapped to False valu... | |
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pandas_series/pandas_series_117_6.txt | or DataFrames to be compared against each
other to see if they have the same shape and elements. NaNs in the same
location are considered equal.
The row/column index do not need to have the same type, as long as the values
are considered equal. Corresponding columns and index must be of the same
dtype.
Parameters :... | |
pandas_series/dataframe-indexing.html6_17_0.txt | Dask DataFrame does not track the length of partitions, making positional
indexing with ` .iloc ` inefficient for selecting rows. ` DataFrame.iloc()
` only supports indexers where the row indexer is ` slice(None) ` (which ` :
` is a shorthand for.)
>>> ddf.iloc[:, [1, 0]]
Dask DataFrame Structure:... | |
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pandas_series/pandas_series_1_6.txt | | slice
Index or slice of indices to access from each list.
Returns :
pandas.Series
The list at requested index.
Examples
>>> import pyarrow as pa
>>> s = pd.Series(
... [
... [1, 2, 3],
... [3],
... ],
... dtype=pd.ArrowDtype(p... | |
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pandas_series/pandas-settingwithcopywarning0_29_0.txt | This example creates a dictionary referenced by the variable ` data ` that
contains:
* The keys ` "x" ` , ` "y" ` , and ` "z" ` , which will be the column labels of the DataFrame
* Three NumPy arrays that hold the data of the DataFrame | |
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pandas_series/pandas_series_238_6.txt | pd.date_range("2000-01-01", periods=3, freq="ns")
... )
>>> datetime_series
0 2000-01-01 00:00:00.000000000
1 2000-01-01 00:00:00.000000001
2 2000-01-01 00:00:00.000000002
dtype: datetime64[ns]
>>> datetime_series.dt.nanosecond
0 0
1 1
2 2
dtype: int3... | |
pandas_series/pandas-settingwithcopywarning0_110_0.txt | You’ve changed the second value of ` arr ` from ` 2 ` to ` 64 ` . The value `
2 ` was also present in the derived arrays ` a ` , ` b ` , ` c ` , and ` d ` .
However, only the views ` a ` and ` b ` are modified:
The views ` a ` and ` b ` look at the data of ` arr ` , including its second
element. That’s why you see the... | |
pandas_series/pandas_series_16_3.txt | ml)
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* [ pandas.Series.dt.time ](pandas.Series.dt.time.html)
* [ pandas.Series.dt.timetz ](pandas.Series.dt.timetz.html)
* [ pandas.Ser... | |
pandas_series/pandas_series_18_2.txt | vel.html)
* [ pandas.Series.drop_duplicates ](pandas.Series.drop_duplicates.html)
* [ pandas.Series.duplicated ](pandas.Series.duplicated.html)
* [ pandas.Series.equals ](pandas.Series.equals.html)
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... | |
pandas_series/pandas_series_152_6.txt | al slice of a string with another value.
Parameters :
**start** int, optional
Left index position to use for the slice. If not specified (None), the slice
is unbounded on the left, i.e. slice from the start of the string.
**stop** int, optional
Right index position to use for the slice. If not s... | |
pandas_series/pandas_series_205_1.txt | html)
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* [ pandas.Serie... | |
pandas_series/selecting-in-pandas-using-where-and-mask2_16_0.txt | ## Indexing in pandas can be so confusing
There are so many ways to do the same thing! What is the difference between
.loc, .iloc, .ix, and [] ? You can read the official documentation but
there's so much of it and it seems so confusing. You can ask a question on
Stack Overflow, but you're just as likely to get to... | |
pandas_series/pandas-settingwithcopywarning0_79_0.txt | The view is modified because it looks at the elements of ` arr ` , and its `
.base ` is the original array. The copy is unchanged because it doesn’t share
data with the original, so a change to the original doesn’t affect it at all.
Remove ads | |
pandas_series/pandas_series_212_4.txt | ndas.Series.str.capitalize ](pandas.Series.str.capitalize.html)
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* [ pandas.Series.str.contains ](pandas.Series.str.conta... | |
pandas_series/pandas_series_153_7.txt | False
2 True
3 False
dtype: bool
The ` s5.str.istitle ` method checks for whether all words are in title case
(whether only the first letter of each word is capitalized). Words are assumed
to be as any sequence of non-numeric characters separated by whitespace
characters.
>>... | |
pandas_series/pandas_series_197_1.txt | html)
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pandas_series/pandas_series_218_5.txt | pandas.Series.cat.rename_categories.html)
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* [ pandas.Ser... | |
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pandas_series/pandas_series_300_4.txt | es.str.capitalize.html)
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pandas_series/pandas_series_333_3.txt | e.sparse ](pandas.DataFrame.sparse.html)
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pandas_series/pandas_series_125_1.txt | html)
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pandas_series/pandas_series_163_1.txt | html)
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pandas_series/selecting-in-pandas-using-where-and-mask2_1_0.txt | * About
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pandas_series/pandas_series_203_3.txt | ml)
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* [ pandas.Ser... | |
pandas_series/pandas-settingwithcopywarning0_11_0.txt | Table of Contents
* Prerequisites
* Example of a SettingWithCopyWarning
* Views and Copies in NumPy and pandas
* Understanding Views and Copies in NumPy
* Understanding Views and Copies in pandas
* Indices and Slices in NumPy and pandas
* Indexing in NumPy: Copies and Views
* Indexing in... | |
pandas_series/pandas_series_34_5.txt | (pandas.Series.cat.rename_categories.html)
* [ pandas.Series.cat.reorder_categories ](pandas.Series.cat.reorder_categories.html)
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* [ pandas.Series.cat.remove_categories ](pandas.Series.cat.remove_categories.html)
* [ pandas.Se... | |
pandas_series/pandas_series_141_2.txt | vel.html)
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* [ pandas.Series.equals ](pandas.Series.equals.html)
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pandas_series/pandas_series_0_6.txt | elements are True, potentially over an axis.
Returns True unless there at least one element within a series or along a
Dataframe axis that is False or equivalent (e.g. zero or empty).
Parameters :
**axis** {0 or âindexâ, 1 or âcolumnsâ, None}, default 0
Indicate which axis or axes should be red... | |
pandas_series/pandas_series_32_5.txt | Series.cat.rename_categories.html)
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* [ pandas.Series.cat... | |
pandas_series/pandas-settingwithcopywarning0_155_0.txt |
>>> df = pd.DataFrame(data=data, index=index)
>>> df
x y z
a 1 1 45
b 2 3 98
c 4 9 24
d 8 27 11
e 16 81 64
>>> df.dtypes
x int64
y int64
z int64
dtype: object
Copied! | |
pandas_series/pandas_series_83_6.txt | _range("2000-01-01", periods=3, freq="min")
... )
>>> datetime_series
0 2000-01-01 00:00:00
1 2000-01-01 00:01:00
2 2000-01-01 00:02:00
dtype: datetime64[ns]
>>> datetime_series.dt.minute
0 0
1 1
2 2
dtype: int32
[ __ previous pandas.Series.dt.hour ](pa... | |
pandas_series/pandas_series_249_1.txt | html)
* [ pandas.Series.rtruediv ](pandas.Series.rtruediv.html)
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* [ pandas.Series.combine ](pandas.Series.combine.html)
* pandas.Series.... | |
pandas_series/pandas_series_276_3.txt | ml)
* [ pandas.DataFrame.sparse ](pandas.DataFrame.sparse.html)
* [ pandas.Index.str ](pandas.Index.str.html)
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pandas_series/pandas_series_299_2.txt | s.Series.drop_duplicates ](pandas.Series.drop_duplicates.html)
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pandas_series/pandas_series_142_5.txt | Series.cat.rename_categories.html)
* [ pandas.Series.cat.reorder_categories ](pandas.Series.cat.reorder_categories.html)
* [ pandas.Series.cat.add_categories ](pandas.Series.cat.add_categories.html)
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pandas_series/pandas_series_130_5.txt | pandas.Series.cat.rename_categories.html)
* [ pandas.Series.cat.reorder_categories ](pandas.Series.cat.reorder_categories.html)
* [ pandas.Series.cat.add_categories ](pandas.Series.cat.add_categories.html)
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pandas_series/pandas_series_235_4.txt | ndas.Series.str.capitalize ](pandas.Series.str.capitalize.html)
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pandas_series/pandas_series_99_3.txt | ml)
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* [ pandas.Index.str ](pandas.Index.str.html)
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* [ pandas.Series.dt.timetz ](pandas.Series.dt.timetz.html)
* [ pandas.Ser... | |
pandas_series/pandas_series_156_5.txt | as.Series.cat.rename_categories.html)
* [ pandas.Series.cat.reorder_categories ](pandas.Series.cat.reorder_categories.html)
* [ pandas.Series.cat.add_categories ](pandas.Series.cat.add_categories.html)
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