Top-Level Functions#
These functions are available directly from the pandasCore Python module.
import pandasCore as pd
df = pd.DataFrame({'A': [1, 2]})
dates = pd.date_range('2023-01-01', periods=5)
merged = pd.merge(df1, df2, on='key')
Date/Time#
Function |
Description |
|---|---|
|
Return a fixed frequency DatetimeIndex. |
|
Return a fixed frequency DatetimeIndex with business day … |
|
Return a fixed frequency PeriodIndex. |
|
Return a fixed frequency TimedeltaIndex. |
|
Convert argument to datetime. |
|
Convert argument to timedelta. |
Combining#
Function |
Description |
|---|---|
|
Concatenate pandas objects along a particular axis. |
|
Merge DataFrame objects by performing a database-style join. |
|
Perform an asof merge (merge on nearest key rather than e… |
|
Perform merge with optional filling/interpolation. |
Reshaping#
Function |
Description |
|---|---|
|
Return reshaped DataFrame organized by given index/column… |
|
Create a spreadsheet-style pivot table. |
|
Unpivot a DataFrame from wide to long format. |
|
Unpivot a DataFrame from wide to long format. |
|
Compute a cross-tabulation of two factors. |
|
Convert categorical variable into dummy/indicator variables. |
|
Encode the object as an enumerated type. |
|
Bin values into discrete intervals. |
|
Quantile-based discretization function. |
I/O#
Function |
Description |
|---|---|
|
Read a comma-separated values (CSV) file into DataFrame. |
|
Read an Excel file into DataFrame. |
|
Read a JSON file into DataFrame. |
|
Read a Parquet file into DataFrame. (Not implemented) |
|
Read a pickle file into DataFrame. (Not implemented) |
|
Read SQL query into DataFrame. (Not implemented) |
|
Read a table file into DataFrame. (Not implemented) |
|
Read a fixed-width file into DataFrame. (Not implemented) |
|
Read HTML tables into list of DataFrame. (Not implemented) |
Missing Data#
Function |
Description |
|---|---|
|
Detect missing values. |
|
Alias for isna(). |
|
Detect non-missing values. |
|
Alias for notna(). |
Type Conversion#
Function |
Description |
|---|---|
|
Convert argument to a numeric type. |
Utility#
Function |
Description |
|---|---|
|
Create an array. |
|
Return unique values based on a hash table. |
|
Return a Series containing counts of unique values. |
|
Infer the most likely frequency given the input index. |
|
Print version information about the library and dependenc… |
Other Functions#
Function |
Description |
|---|---|
|
Create PeriodIndex from temporal field arrays. |
|
Create PeriodIndex from ordinal values. |
|
Print description of options matching pattern. |
|
Evaluate a Python expression as a string. |
|
Create a categorical DataFrame from a DataFrame of dummy … |
|
Get the value of a pandas option. |
|
Return a fixed frequency IntervalIndex. |
|
Normalize semi-structured JSON data into a flat table. |
|
Reshape wide-format data to long format. |
|
Context manager for temporarily setting options. |
|
Read content from clipboard. (Not implemented) |
|
Read a Feather file into DataFrame. (Not implemented) |
|
Read Google BigQuery into DataFrame. (Not implemented) |
|
Read an HDF5 file into DataFrame. |
|
Read an ORC file into DataFrame. (Not implemented) |
|
Read a SAS file into DataFrame. (Not implemented) |
|
Read an SPSS file into DataFrame. (Not implemented) |
|
Read SQL query into DataFrame. (Not implemented) |
|
Read SQL table into DataFrame. (Not implemented) |
|
Read a Stata file into DataFrame. (Not implemented) |
|
Read an XML file into DataFrame. (Not implemented) |
|
Reset option to default value. |
|
Set float format for engineering notation. |
|
Set the value of a pandas option. |
|
Write object to pickle file. (Not implemented) |