Series
(data, {columns: [ Array ], dtypes: [ Array ], index: [Array]}) [source]
The index (axis labels) of the Series. |
The Tensorflow tensor of the data backing this Series or Index. | |
Return Series as ndarray or ndarray-like depending on the dtype. | |
Return the dtype object of the underlying data. | |
Return a tuple of the shape of the underlying data. | |
Number of dimensions of the underlying data, by definition 1. | |
Return the number of elements in the underlying data. |
Cast a Series object to a specified dtype | |
Make a copy of this object’s indices and data. |
| |
Access a group of rows and columns by label(s) or a boolean array. | |
Purely integer-location based indexing for selection by position. |
Return Addition of series and other, element-wise (binary operator add). | |
Return Subtraction of series and other, element-wise (binary operator sub). | |
Return Multiplication of series and other, element-wise (binary operator mul). | |
Return Floating division of series and other, element-wise (binary operator truediv). | |
Return Modulo of series and other, element-wise (binary operator mod). | |
Return Exponential power of series and other, element-wise (binary operator pow). | |
Round each value in a Series to the given number of decimals. | |
Return Less than of series and other, element-wise (binary operator lt). | |
Return Greater than of series and other, element-wise (binary operator gt). | |
Return Less than or equal to of series and other, element-wise (binary operator le). | |
Return Greater than or equal to of series and other, element-wise (binary operator ge). | |
Return Not equal to of series and other, element-wise (binary operator ne). | |
Return Equal to of series and other, element-wise (binary operator eq). | |
Compute the dot product between the Series and the columns of other. |
Invoke function on values of Series. | |
Map values of Series according to input correspondence. |
Return a Series with absolute numeric value of each element. | |
Compute correlation with other Series, excluding missing values. | |
Return number of non-NaN observations in the Series. | |
Return cumulative maximum over a DataFrame or Series axis. | |
Return cumulative minimum over a DataFrame or Series axis. | |
Return cumulative product over a DataFrame or Series axis. | |
Return cumulative sum over a DataFrame or Series axis. | |
Generate descriptive statistics. | |
Return the maximum of the values for the requested axis. | |
Return the mean of the values for the requested axis. | |
Return the median of the values for the requested axis. | |
Return the minimum of the values for the requested axis. | |
Return the mode(s) of the dataset. | |
Return sample standard deviation over requested axis. | |
Return the sum of the values for the requested axis. | |
Return unbiased variance over requested axis. | |
Return unique values of Series object. | |
Return number of unique elements in the object. | |
Return a Series containing counts of unique values. |
| |
Return Series with duplicate values removed. | |
Return the first n rows. | |
Generate a new DataFrame or Series with the index reset. | |
Return a random sample of items from an axis of object. | |
Return the last n rows. |
| |
Return a new Series with missing values removed. | |
Fill NaN values using the specified method. | |
Detect missing values. | |
Replace values given in to_replace with value. |
Return the integer indices that would sort the Series values. | |
Return int position of the smallest value in the Series. | |
Return int position of the largest value in the Series. | |
Sort by the values. |
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 |
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
| |
The year of the datetime. | |
The month as January=1, December=12. | |
The day of the datetime. | |
The hours of the datetime. | |
The minutes of the datetime. | |
The seconds of the datetime. | |
The day of the week with Monday=0, Sunday=6. | |
Return the month names of the DateTimeIndex with specified locale. |
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>
.
Capitalize the first character of each string | |
Converts all characters to uppercase. | |
Converts all characters to lowercase. | |
Returns the character at the specified index (position). | |
Joins two or more strings/arrays. | |
Checks whether a string begins with specified characters. | |
Checks whether a string ends with specified characters | |
Checks whether a string contains the specified string/characters. | |
Returns the position of the first found occurrence of a specified value in a string. | |
Returns the position of the last found occurrence of a specified value in a string. | |
Returns a new string with a specified number of copies of an existing string. | |
Searches a string for a specified value, or regular expression, and returns the position of the match. | |
Extracts a part of a string and returns a new string. | |
Splits a string into an array of substrings. | |
Extracts the characters from a string, beginning at a specified start position, and through the specified number of character. | |
Extracts the characters from a string, between two specified indices. | |
Counts the number of characters in each string. | |
Removes whitespace from both ends of a string. | |
Joins strings to specified value. | |
Replace each occurrence of pattern/regex in the Series/Index. |
Series.plot
is both a callable method and a namespace attribute for specific plotting methods of the form Series.plot.<kind>
.
| |
Vertical bar plot. | |
Make a box plot of the DataFrame columns. | |
Make a violin plot of the DataFrame columns. | |
Draw one histogram of the DataFrame’s columns. | |
Generate Kernel Density Estimate plot using Gaussian kernels. | |
Plot Series or DataFrame as lines. | |
Generate a pie plot. | |
Time series plots | |
| Display Series as Interactive table in Div |
| |
Write object to a comma-separated values (csv) file. | |
Convert the object to a JSON string. |