Series

One-dimensional ndarray with axis labels (including time series).

Series(data, {columns: [ Array ], dtypes: [ Array ], index: [Array]}) [source]

Attributes

Series.index

The index (axis labels) of the Series.

Series.tensor	The Tensorflow tensor of the data backing this Series or Index.
Series.values	Return Series as ndarray or ndarray-like depending on the dtype.
Series.dtype	Return the dtype object of the underlying data.
Series.shape	Return a tuple of the shape of the underlying data.
Series.ndim	Number of dimensions of the underlying data, by definition 1.
Series.size	Return the number of elements in the underlying data.

Conversion

Series.asType	Cast a Series object to a specified dtype
Series.copy	Make a copy of this object’s indices and data.

Indexing, iteration

[`Series.loc`](series.loc.md)	Access a group of rows and columns by label(s) or a boolean array.
Series.iloc	Purely integer-location based indexing for selection by position.

Binary operator functions

Series.add	Return Addition of series and other, element-wise (binary operator add).
Series.sub	Return Subtraction of series and other, element-wise (binary operator sub).
Series.mul	Return Multiplication of series and other, element-wise (binary operator mul).
Series.div	Return Floating division of series and other, element-wise (binary operator truediv).
Series.mod	Return Modulo of series and other, element-wise (binary operator mod).
Series.pow	Return Exponential power of series and other, element-wise (binary operator pow).
Series.round	Round each value in a Series to the given number of decimals.
Series.lt	Return Less than of series and other, element-wise (binary operator lt).
Series.gt	Return Greater than of series and other, element-wise (binary operator gt).
Series.le	Return Less than or equal to of series and other, element-wise (binary operator le).
Series.ge	Return Greater than or equal to of series and other, element-wise (binary operator ge).
Series.ne	Return Not equal to of series and other, element-wise (binary operator ne).
Series.eq	Return Equal to of series and other, element-wise (binary operator eq).

Function application

Series.apply	Invoke function on values of Series.
Series.map	Map values of Series according to input correspondence.

Computations / descriptive stats

Series.abs	Return a Series with absolute numeric value of each element.
Series.corr	Compute correlation with other Series, excluding missing values.
Series.count	Return number of non-NaN observations in the Series.
Series.cumMax	Return cumulative maximum over a DataFrame or Series axis.
Series.cumMin	Return cumulative minimum over a DataFrame or Series axis.
Series.cumProd	Return cumulative product over a DataFrame or Series axis.
Series.cumSum	Return cumulative sum over a DataFrame or Series axis.
Series.describe	Generate descriptive statistics.
Series.max	Return the maximum of the values for the requested axis.
Series.mean	Return the mean of the values for the requested axis.
Series.median	Return the median of the values for the requested axis.
Series.min	Return the minimum of the values for the requested axis.
Series.mode	Return the mode(s) of the dataset.
Series.std	Return sample standard deviation over requested axis.
Series.sum	Return the sum of the values for the requested axis.
Series.var	Return unbiased variance over requested axis.
Series.unique	Return unique values of Series object.
Series.nUnique	Return number of unique elements in the object.
Series.valueCounts	Return a Series containing counts of unique values.

Reindexing / selection / label manipulation

Series.dropDuplicates	Return Series with duplicate values removed.
Series.head	Return the first n rows.
Series.resetIndex	Generate a new DataFrame or Series with the index reset.
Series.sample	Return a random sample of items from an axis of object.
Series.tail	Return the last n rows.

Missing data handling

Series.droNa	Return a new Series with missing values removed.
Series.fillNa	Fill NaN values using the specified method.
Series.isNa	Detect missing values.
Series.replace	Replace values given in to_replace with value.

Logical Comparison

Series.or	Returns the logical OR between Series and other. Supports element-wise operations and broadcasting.
Series.and	Returns the logical AND between Series and other. Supports element-wise operations and broadcasting.

Reshaping, sorting

Series.argSort	Return the integer indices that would sort the Series values.
Series.argMin	Return int position of the smallest value in the Series.
Series.argMax	Return int position of the largest value in the Series.
Series.sortValues	Sort by the values.

Accessors

Danfo provides dtype-specific methods under various accessors. These are separate namespaces within Series that only apply to specific data types.

Data Type	Accessor
Datetime	dt
String	str

Datetimelike properties

Series.dt can be used to access the values of the series as datetime and return several properties. These can be accessed like Series.dt.<property>.

Datetime methods

Series.dt.year	The year of the datetime.
Series.dt.month	Returns a numeric representation of the month. January=0 - December=11.
Series.dt.monthName
Series.dt.dayOfWeek	Returns the day of the week, in local time
Series.dt.hour	The hours of the datetime.
Series.dt.minute	The minutes of the datetime.
Series.dt.second	The seconds of the datetime.
Series.dt.dayOfWeekName	Returns the name of the day, of the week, in local time
Series.dt.dayOfMonth	Returns the day of the month, in local time

String handling

Series.str can be used to access the values of the series as strings and apply several methods to it. These can be accessed like Series.str.<function/property>.

Series.str.capitalize	Capitalize the first character of each string
Series.str.toUpperCase	Converts all characters to uppercase.
Series.str.toLowerCase	Converts all characters to lowercase.
Series.str.charAt	Returns the character at the specified index (position).
Series.str.concat	Joins two or more strings/arrays.
Series.str.startsWith	Checks whether a string begins with specified characters.
Series.str.endsWith	Checks whether a string ends with specified characters
Series.str.includes	Checks whether a string contains the specified string/characters.
Series.str.indexOf	Returns the position of the first found occurrence of a specified value in a string.
Series.str.lastIndexOf	Returns the position of the last found occurrence of a specified value in a string.
Series.str.repeat	Returns a new string with a specified number of copies of an existing string.
Series.str.search	Searches a string for a specified value, or regular expression, and returns the position of the match.
Series.str.slice	Extracts a part of a string and returns a new string.
Series.str.split	Splits a string into an array of substrings.
Series.str.substr	Extracts the characters from a string, beginning at a specified start position, and through the specified number of character.
Series.str.substring	Extracts the characters from a string, between two specified indices.
Series.str.len	Counts the number of characters in each string.
Series.str.trim	Removes whitespace from both ends of a string.
Series.str.join	Joins strings to specified value.
Series.str.replace	Replace each occurrence of pattern/regex in the Series/Index.

Plotting

Series.plot is both a callable method and a namespace attribute for specific plotting methods of the form Series.plot.<kind>.

Series.plot.bar	Vertical bar plot.
Series.plot.box	Make a box plot of the DataFrame columns.
Series.plot.violin	Make a violin plot of the DataFrame columns.
Series.plot.hist	Draw one histogram of the DataFrame’s columns.
Series.plot.scatter	Generate Kernel Density Estimate plot using Gaussian kernels.
Series.plot.line	Plot Series or DataFrame as lines.
Series.plot.pie	Generate a pie plot.
Timeseries Plots	Time series plots
Table	Display Series as Interactive table in a Div

Serialization / IO / conversion

Series.toCSV	Convert DataFrame or Series to CSV.
Series.toJSON	Convert DataFrame or Series to a JSON.
Series.toExcel	Convert DataFrame or Series to an excel file