id stringlengths 16 145 | text stringlengths 1 179k | title stringclasses 1
value |
|---|---|---|
pandas_series/pandas_series_283_8.txt | do want to
fill in the ` NaN ` values present in the original dataframe, use the `
fillna() ` method.
See the [ user guide ](../../user_guide/basics.html#basics-reindexing) for
more.
[ __ previous pandas.Series.last ](pandas.Series.last.html "previous page")
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pandas_series/pandas-settingwithcopywarning0_184_0.txt | * ` pd.set_option("mode.chained_assignment", "raise") ` raises a ` SettingWithCopyException ` .
* ` pd.set_option("mode.chained_assignment", "warn") ` issues a ` SettingWithCopyWarning ` . This is the default behavior.
* ` pd.set_option("mode.chained_assignment", None) ` suppresses both the warning and the erro... | |
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pandas_series/pandas_series_125_6.txt | ven separator/delimiter.
Splits the string in the Series/Index from the end, at the specified delimiter
string.
Parameters :
**pat** str, optional
String to split on. If not specified, split on whitespace.
**n** int, default -1 (all)
Limit number of splits in output. ` None ` , 0 and -1 will b... | |
pandas_series/pandas_series_252_2.txt | vel.html)
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... | |
pandas_series/pandas_series_307_6.txt | rts DatetimeArray/Index to PeriodArray/PeriodIndex.
Parameters :
**freq** str or Period, optional
One of pandasâ [ period aliases
](../../user_guide/timeseries.html#timeseries-period-aliases) or an Period
object. Will be inferred by default.
Returns :
PeriodArray/PeriodIndex
Raises :
... | |
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pandas_series/pandas_series_153_6.txt | ning the Python string method [ ` str.isalnum() `
](https://docs.python.org/3/library/stdtypes.html#str.isalnum "\(in Python
v3.12\)") for each element of the Series/Index. If a string has zero
characters, ` False ` is returned for that check.
Returns :
Series or Index of bool
Series or Index of boole... | |
pandas_series/pandas-settingwithcopywarning0_14_0.txt | You’ll first see a short explanation of what the ` SettingWithCopyWarning ` is
and how to avoid it. You might find this enough for your needs, but you can
also dig a bit deeper into the details of NumPy and pandas to learn more about
copies and views.
Free Bonus: Click here to get access to a free NumPy Resources Gui... | |
pandas_series/pandas_series_270_6.txt | s.allows_duplicate_labels `
See also
[ ` Flags ` ](pandas.Flags.html#pandas.Flags "pandas.Flags")
Flags that apply to pandas objects.
[ ` DataFrame.attrs ` ](pandas.DataFrame.attrs.html#pandas.DataFrame.attrs
"pandas.DataFrame.attrs")
Global metadata applying to this dataset.
Notes
âFlagsâ dif... | |
pandas_series/pandas_series_206_5.txt | ies.cat.rename_categories ](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_categor... | |
pandas_series/pandas_series_336_6.txt | ([1, 2, 3])
>>> s.dtypes
dtype('int64')
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page") [ next pandas.Series.name __ ](pandas.Series.name.html "next page")
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pandas_series/pandas-settingwithcopywarning0_178_0.txt |
>>> df = pd.DataFrame(
... data={("powers", "x"): 2**np.arange(5),
... ("powers", "y"): 3**np.arange(5),
... ("random", "z"): np.array([45, 98, 24, 11, 64], dtype=float)},
... index=["a", "b", "c", "d", "e"]
... )
>>> df
powers random
... | |
pandas_series/pandas_series_218_4.txt | (pandas.Series.str.capitalize.html)
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* [ pandas.Ser... | |
pandas_series/pandas_series_119_6.txt | on Monday, which is
denoted by 0 and ends on Sunday which is denoted by 6. This method is
available on both Series with datetime values (using the dt accessor) or
DatetimeIndex.
Returns :
Series or Index
Containing integers indicating the day number.
See also
` Series.dt.dayofweek `
Alias.
... | |
pandas_series/pandas_series_152_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_67_6.txt | 0) #
Replace each occurrence of pattern/regex in the Series/Index.
Equivalent to [ ` str.replace() `
](https://docs.python.org/3/library/stdtypes.html#str.replace "\(in Python
v3.12\)") or [ ` re.sub() `
](https://docs.python.org/3/library/re.html#re.sub "\(in Python v3.12\)") ,
depending on the regex value.
... | |
pandas_series/pandas_series_67_4.txt | ndas.Series.str.capitalize ](pandas.Series.str.capitalize.html)
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pandas_series/pandas_series_58_6.txt | ng the Python string method [ ` str.isalpha() `
](https://docs.python.org/3/library/stdtypes.html#str.isalpha "\(in Python
v3.12\)") for each element of the Series/Index. If a string has zero
characters, ` False ` is returned for that check.
Returns :
Series or Index of bool
Series or Index of boolean... | |
pandas_series/pandas_series_325_5.txt | ndas.Series.cat.rename_categories.html)
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pandas_series/pandas-settingwithcopywarning0_101_0.txt | The resulting array ` c ` contains the elements from ` arr ` with the indices
` 1 ` and ` 3 ` . These elements have the values ` 2 ` and ` 8 ` . In this
case, ` c ` is a copy of ` arr ` , its ` .base ` is ` None ` , and it has its
own data:
The elements of ` arr ` with the chosen indices ` 1 ` and ` 3 ` are copied
int... | |
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* [ pandas.S... | |
pandas_series/pandas_series_297_6.txt | t presents categorical data with rectangular bars with
lengths proportional to the values that they represent. A bar plot shows
comparisons among discrete categories. One axis of the plot shows the specific
categories being compared, and the other axis represents a measured value.
Parameters :
**x** label or p... | |
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pandas_series/pandas-settingwithcopywarning0_94_0.txt | NumPy has a strict set of rules related to copies and views when indexing
arrays. Whether you get views or copies of the original data depends on the
approach you use to index your arrays : slicing, integer indexing, or
Boolean indexing.
#### One-Dimensional Arrays | |
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pandas_series/pandas_series_66_6.txt | n the Series/Index.
Each of returned indexes corresponds to the position where the substring is
fully contained between [start:end]. Return -1 on failure. Equivalent to
standard [ ` str.rfind() `
](https://docs.python.org/3/library/stdtypes.html#str.rfind "\(in Python
v3.12\)") .
Parameters :
**sub** str
... | |
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pandas_series/pandas_series_42_6.txt | ays import SparseArray
>>> s = SparseArray([0, 0, 1, 0, 2], fill_value=0)
>>> s.sp_values
array([1, 2])
[ __ previous pandas.Series.sparse.fill_value
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pandas_series/dataframe-indexing.html6_4_0.txt | Reference
* API Reference
* Array
* DataFrame
* Bag
* Delayed
* Futures
* Command Line Interface
* Development Guidelines
* Changelog
* Configuration
* How To…
* Connect to remote data
* Debug
* Extend sizeof
* Selecting the collection backend
* Use G... | |
pandas_series/pandas_series_209_1.txt | html)
* [ pandas.Series.rtruediv ](pandas.Series.rtruediv.html)
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pandas_series/pandas_series_208_6.txt | d kurtosis over requested axis.
Kurtosis obtained using Fisherâs definition of kurtosis (kurtosis of normal
== 0.0). Normalized by N-1.
Parameters :
**axis** {index (0)}
Axis for the function to be applied on. For Series this parameter is unused
and defaults to 0.
For DataFrames, specifying ` axis... | |
pandas_series/pandas_series_45_3.txt | ml)
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pandas_series/pandas_series_168_1.txt | html)
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pandas_series/pandas_series_133_3.txt | ml)
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pandas_series/pandas_series_53_4.txt | ](pandas.Series.str.capitalize.html)
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* [ pandas.Se... | |
pandas_series/pandas_series_58_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_147_2.txt | ries.drop_duplicates ](pandas.Series.drop_duplicates.html)
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pandas_series/pandas_series_264_5.txt | pandas.Series.cat.rename_categories.html)
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pandas_series/pandas_series_196_5.txt | s.cat.rename_categories.html)
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pandas_series/pandas_series_215_4.txt | ndas.Series.str.capitalize ](pandas.Series.str.capitalize.html)
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pandas_series/pandas_series_244_1.txt | .rtruediv ](pandas.Series.rtruediv.html)
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pandas_series/pandas_series_198_6.txt | age can optionally include the contribution of the index and of
elements of object dtype.
Parameters :
**index** bool, default True
Specifies whether to include the memory usage of the Series index.
**deep** bool, default False
If True, introspect the data deeply by interrogating object dtyp... | |
pandas_series/pandas_series_241_5.txt | s.Series.cat.rename_categories.html)
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pandas_series/pandas_series_8_3.txt | ml)
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pandas_series/pandas_series_94_3.txt | ml)
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pandas_series/pandas_series_239_5.txt | ndas.Series.cat.rename_categories.html)
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* [ pandas.Series.cat.remove_categories ](pandas.Series.cat.remove_categories.html)
* [ pandas.Serie... | |
pandas_series/pandas_series_192_6.txt |
Examples
>>> s = pd.Series(pd.to_timedelta(np.arange(5), unit='s'))
>>> s
0 0 days 00:00:00
1 0 days 00:00:01
2 0 days 00:00:02
3 0 days 00:00:03
4 0 days 00:00:04
dtype: timedelta64[ns]
>>> s.dt.components
days hours minutes seconds milliseconds mic... | |
pandas_series/pandas_series_11_1.txt | uediv ](pandas.Series.rtruediv.html)
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pandas_series/pandas_series_128_5.txt | ies.cat.rename_categories ](pandas.Series.cat.rename_categories.html)
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pandas.Series.sort_index __ ](pandas.Series.sort_index.html "next page")
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* ` Series.sort_values() `
[ __ Show Source
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© 2024, pandas via [ NumFOCUS, Inc. ](https://numfocus.org) Hosted by [
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pandas_series/pandas_series_113_6.txt | es** list-like, dict-like or callable
New categories which will replace old categories.
* list-like: all items must be unique and the number of items in the new categories must match the existing number of categories.
* dict-like: specifies a mapping from old categories to new. Categories not contained in... | |
pandas_series/pandas_series_259_1.txt | html)
* [ pandas.Series.rtruediv ](pandas.Series.rtruediv.html)
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pandas_series/pandas_series_99_1.txt | html)
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* [ pandas.Serie... | |
pandas_series/pandas_series_75_7.txt | to quote fields.
**lineterminator** str, optional
The newline character or character sequence to use in the output file.
Defaults to os.linesep , which depends on the OS in which this method is
called (â\nâ for linux, â\r\nâ for Windows, i.e.).
Changed in version 1.5.0: Previously was line_terminat... | |
pandas_series/pandas_series_263_6.txt | ring in Series is split by sep and returned as a DataFrame of
dummy/indicator variables.
Parameters :
**sep** str, default â|â
String to split on.
Returns :
DataFrame
Dummy variables corresponding to values of the Series.
See also
[ ` get_dummies ` ](pandas.get_dummies.html#pandas... | |
pandas_series/pandas_series_166_1.txt | html)
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