mars.dataframe.Series¶
- class mars.dataframe.Series(data=None, index=None, dtype=None, name=None, copy=False, chunk_size=None, gpu=None, sparse=None, num_partitions=None)[源代码]¶
- __init__(data=None, index=None, dtype=None, name=None, copy=False, chunk_size=None, gpu=None, sparse=None, num_partitions=None)[源代码]¶
Methods
__init__
([data, index, dtype, name, copy, …])abs
()add
(other[, level, fill_value, axis])Return Addition of series and other, element-wise (binary operator add).
add_prefix
(prefix)Prefix labels with string prefix.
agg
([func, axis])aggregate
([func, axis])all
([axis, bool_only, skipna, level, …])any
([axis, bool_only, skipna, level, …])append
(other[, ignore_index, …])apply
(func[, convert_dtype, output_type, …])Invoke function on values of Series.
astype
(dtype[, copy, errors])Cast a pandas object to a specified dtype
dtype
.autocorr
([lag])Compute the lag-N autocorrelation.
backfill
([axis, inplace, limit, downcast])Synonym for
DataFrame.fillna()
withmethod='bfill'
.bfill
([axis, inplace, limit, downcast])Synonym for
DataFrame.fillna()
withmethod='bfill'
.cartesian_chunk
(right, func[, args])check_monotonic
([decreasing, strict])Check if values in the object are monotonic increasing or decreasing.
copy
([deep])Make a copy of this object’s indices and data.
copy_from
(obj)copy_to
(target)corr
(other[, method, min_periods])Compute correlation with other Series, excluding missing values.
count
([level, combine_size])cummax
([axis, skipna])cummin
([axis, skipna])cumprod
([axis, skipna])cumsum
([axis, skipna])describe
([percentiles, include, exclude])diff
([periods])First discrete difference of element.
div
(other[, level, fill_value, axis])Return Floating division of series and other, element-wise (binary operator truediv).
dot
(other)Compute the dot product between the Series and the columns of other.
drop
([labels, axis, index, columns, level, …])Return Series with specified index labels removed.
drop_duplicates
([keep, inplace, method])Return Series with duplicate values removed.
dropna
([axis, inplace, how])Return a new Series with missing values removed.
duplicated
([keep, method])Indicate duplicate Series values.
eq
(other[, level, axis])Return Equal to of series and other, element-wise (binary operator eq).
ewm
([com, span, halflife, alpha, …])Provide exponential weighted functions.
execute
([session])expanding
([min_periods, center, axis])Provide expanding transformations.
explode
([ignore_index])Transform each element of a list-like to a row.
ffill
([axis, inplace, limit, downcast])Synonym for
DataFrame.fillna()
withmethod='ffill'
.fillna
([value, method, axis, inplace, …])Fill NA/NaN values using the specified method.
floordiv
(other[, level, fill_value, axis])Return Integer division of series and other, element-wise (binary operator floordiv).
from_tensor
(in_tensor[, index, name])ge
(other[, level, axis])Return Greater than or equal to of series and other, element-wise (binary operator ge).
groupby
([by, level, as_index, sort, group_keys])gt
(other[, level, axis])Return Greater than of series and other, element-wise (binary operator gt).
head
([n])Return the first n rows.
isin
(values)Whether elements in Series are contained in values.
isna
()Detect missing values.
isnull
()Detect missing values.
items
([batch_size, session])Lazily iterate over (index, value) tuples.
iteritems
([batch_size, session])Lazily iterate over (index, value) tuples.
keys
()Return alias for index.
kurt
([axis, skipna, level, combine_size, …])kurtosis
([axis, skipna, level, …])le
(other[, level, axis])Return Less than or equal to of series and other, element-wise (binary operator le).
lt
(other[, level, axis])Return Less than of series and other, element-wise (binary operator lt).
map
(arg[, na_action, dtype, memory_scale])Map values of Series according to input correspondence.
map_chunk
(func[, args])Apply function to each chunk.
mask
(cond[, other, inplace, axis, level, …])Replace values where the condition is True.
max
([axis, skipna, level, combine_size, method])mean
([axis, skipna, level, combine_size, method])memory_usage
([index, deep])Return the memory usage of the Series.
min
([axis, skipna, level, combine_size, method])mod
(other[, level, fill_value, axis])Return Modulo of series and other, element-wise (binary operator mod).
mul
(other[, level, fill_value, axis])Return Multiplication of series and other, element-wise (binary operator mul).
multiply
(other[, level, fill_value, axis])Return Multiplication of series and other, element-wise (binary operator mul).
ne
(other[, level, axis])Return Not equal to of series and other, element-wise (binary operator ne).
notna
()Detect existing (non-missing) values.
notnull
()Detect existing (non-missing) values.
nunique
([dropna, combine_size])Return number of unique elements in the object.
pad
([axis, inplace, limit, downcast])Synonym for
DataFrame.fillna()
withmethod='ffill'
.pct_change
([periods, fill_method, limit, freq])Percentage change between the current and a prior element.
pow
(other[, level, fill_value, axis])Return Exponential power of series and other, element-wise (binary operator pow).
prod
([axis, skipna, level, min_count, …])product
([axis, skipna, level, min_count, …])quantile
([q, interpolation])Return value at the given quantile.
radd
(other[, level, fill_value, axis])Return Addition of series and other, element-wise (binary operator radd).
rdiv
(other[, level, fill_value, axis])Return Floating division of series and other, element-wise (binary operator rtruediv).
rebalance
([factor, axis, num_partitions, …])Make Data more balanced across entire cluster.
rechunk
(chunk_size[, threshold, …])reindex
(*args, **kwargs)Conform Series/DataFrame to new index with optional filling logic.
reindex_like
(other[, method, copy, limit, …])Return an object with matching indices as other object.
rename
([index, axis, copy, inplace, level, …])Alter Series index labels or name.
rename_axis
([mapper, index, columns, axis, …])Set the name of the axis for the index or columns.
replace
([to_replace, value, inplace, limit, …])Replace values given in to_replace with value.
reset_index
([level, drop, name, inplace, …])Generate a new DataFrame or Series with the index reset.
rfloordiv
(other[, level, fill_value, axis])Return Integer division of series and other, element-wise (binary operator rfloordiv).
rmod
(other[, level, fill_value, axis])Return Modulo of series and other, element-wise (binary operator rmod).
rmul
(other[, level, fill_value, axis])Return Multiplication of series and other, element-wise (binary operator rmul).
rolling
(window[, min_periods, center, …])Provide rolling window calculations.
round
([decimals])Round each value in a Series to the given number of decimals.
rpow
(other[, level, fill_value, axis])Return Exponential power of series and other, element-wise (binary operator rpow).
rsub
(other[, level, fill_value, axis])Return Subtraction of series and other, element-wise (binary operator rsubtract).
rtruediv
(other[, level, fill_value, axis])Return Floating division of series and other, element-wise (binary operator rtruediv).
sample
([n, frac, replace, weights, …])Return a random sample of items from an axis of object.
sem
([axis, skipna, level, ddof, …])set_axis
(labels[, axis, inplace])Assign desired index to given axis.
shift
([periods, freq, axis, fill_value])Shift index by desired number of periods with an optional time freq.
skew
([axis, skipna, level, combine_size, …])sort_index
([axis, level, ascending, …])Sort object by labels (along an axis).
sort_values
([axis, ascending, inplace, …])Sort by the values.
std
([axis, skipna, level, ddof, …])sub
(other[, level, fill_value, axis])Return Subtraction of series and other, element-wise (binary operator subtract).
sum
([axis, skipna, level, min_count, …])tail
([n])Return the last n rows.
tiles
()to_cpu
()to_csv
(path[, sep, na_rep, float_format, …])Write object to a comma-separated values (csv) file.
to_dict
([into, batch_size, session])Convert Series to {label -> value} dict or dict-like object.
to_frame
([name])Convert Series to DataFrame.
to_gpu
()to_pandas
([session])to_sql
(name, con[, schema, if_exists, …])Write records stored in a DataFrame to a SQL database.
to_tensor
([dtype])transform
(func[, convert_dtype, axis, dtype])Call
func
on self producing a Series with transformed values.truediv
(other[, level, fill_value, axis])Return Floating division of series and other, element-wise (binary operator truediv).
tshift
([periods, freq, axis])Shift the time index, using the index’s frequency if available.
unique
([method])Uniques are returned in order of appearance.
value_counts
([normalize, sort, ascending, …])Return a Series containing counts of unique values.
var
([axis, skipna, level, ddof, …])where
(cond[, other, inplace, axis, level, …])Replace values where the condition is False.
Attributes
Access a single value for a row/column label pair.
data
Return the dtype object of the underlying data.
The index (axis labels) of the Series.
Return boolean scalar if values in the object are monotonic_increasing.
Return boolean scalar if values in the object are monotonic_decreasing.
Return boolean scalar if values in the object are monotonic_increasing.
Return an int representing the number of axes / array dimensions.
size
type_name
values