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6833 lines (6831 loc) · 162 KB
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define([
], function () {
/**
* name
* library
* description
* code
* options: [
* {
* name
* label
* [optional]
* output: true (default: false/undefined)
* - output variable name list to print line to display `ex usage) df = ... /n df`
* component : []
* - input / input_number / data_select / bool_select
* - 1darr / 2darr / ndarr / scalar / param / dtype / tabblock
* default
* required
* usePair
* code
* varType
*
* }
* ]
*/
/** Last edited standard version */
var PANDAS_VERSION = '2.0.0';
var PANDAS_FUNCTION = {
"pdPdo_series": {
"name": "Series",
"library": "pandas",
"description": "1 dimension array with same data types",
"docs": "https://pandas.pydata.org/docs/reference/api/pandas.Series.html",
"code": "${o0} = pd.Series(${i0}${index}${name})",
"options": [
{
"name": "i0",
"label": "Data",
"required": true
},
{
"name": "o0",
"label": "Allocate to",
"output": true,
"component": [
"input"
]
},
{
"name": "index",
"label": "Index",
"usePair": true
},
{
"name": "name",
"label": "Series Name",
"type": "text",
"usePair": true
}
]
},
"pdPdo_dataframe": {
"name": "DataFrame",
"library": "pandas",
"description": "2 dimension data table type pandas variable",
"docs": "https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html",
"code": "${o0} = pd.DataFrame(${i0}${index}${columns})",
"options": [
{
"name": "i0",
"label": "Data",
"required": true,
"component": [
"table"
]
},
{
"name": "o0",
"label": "Allocate to",
"output": true,
"component": [
"input"
]
},
{
"name": "index",
"label": "Index List",
"usePair": true
},
{
"name": "columns",
"label": "Column List",
"usePair": true
}
]
},
"pdPdo_index": {
"name": "Index",
"library": "pandas",
"description": "Create index object",
"docs": "https://pandas.pydata.org/docs/reference/api/pandas.Index.html",
"code": "${o0} = pd.Index(${data}${dtype}${copy}${name}${tupleize_cols})",
"options": [
{
"name": "data",
"label": "Data",
"required": true
},
{
"name": "o0",
"label": "Allocate to",
"output": true,
"component": [
"input"
]
},
{
"name": "dtype",
"label": "Numpy Dtype",
"component": [
"option_select"
],
"options": [
"'object'",
"None",
"'int32'",
"'int64'",
"'float32'",
"'float64'",
"'string'",
"'complex64'",
"'bool'"
],
"default": "'object'",
"usePair": true
},
{
"name": "copy",
"label": "Copy",
"component": [
"bool_select"
],
"default": "False",
"usePair": true
},
{
"name": "name",
"label": "Index Name",
"usePair": true
},
{
"name": "tupleize_cols",
"label": "Create Multiindex",
"component": [
"bool_select"
],
"default": "True",
"usePair": true
}
]
},
"pd_readCsv": {
"name": "Read CSV",
"library": "pandas",
"description": "",
"docs": "https://pandas.pydata.org/docs/reference/api/pandas.read_csv.html",
"code": "${o0} = pd.read_csv(${i0}${encoding}${header}${sep}${names}${usecols}${index_col}${na_values}${skiprows}${nrows}${chunksize}${etc})",
"options": [
{
"name": "i0",
"label": "File Path",
"required": true,
"type": "text",
"component": [
"file"
]
},
{
"name": "o0",
"label": "Allocate to",
"output": true,
"component": [
"input"
],
"value": "vp_df"
},
{
"name": "encoding",
"label": "Encoding",
"type": "text",
"usePair": true
},
{
"name": "header",
"label": "Header",
"component": [
"option_suggest"
],
"options": [
"None",
"0"
],
"usePair": true
},
{
"name": "sep",
"label": "Seperator",
"type": "text",
"usePair": true
},
{
"name": "names",
"label": "Columns",
"usePair": true
},
{
"name": "usecols",
"label": "Column List To Use",
"usePair": true
},
{
"name": "index_col",
"label": "Column To Use As Index",
"usePair": true
},
{
"name": "na_values",
"label": "Na Values",
"usePair": true
},
{
"name": "skiprows",
"label": "Rows To Skip",
"usePair": true
},
{
"name": "nrows",
"label": "Number of rows",
"component": [
"input_number"
],
"usePair": true
},
{
"name": "chunksize",
"label": "Chunksize",
"usePair": true
}
]
},
"pd_toCsv": {
"name": "To CSV",
"library": "pandas",
"description": "dataframe to csv",
"docs": "https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_csv.html",
"code": "${i0}.to_csv(${i1}${encoding}${header}${index}${sep}${na_rep}${columns}${etc})",
"options": [
{
"name": "i0",
"label": "DataFrame",
"required": true,
"component": [
"data_select"
],
"var_type": [
"DataFrame",
"Series"
]
},
{
"name": "i1",
"label": "File Path",
"required": true,
"type": "text",
"component": [
"file"
]
},
{
"name": "encoding",
"label": "Encoding",
"type": "text",
"usePair": true
},
{
"name": "header",
"label": "Header",
"component": [
"bool_select"
],
"default": "True",
"usePair": true
},
{
"name": "index",
"label": "Index",
"component": [
"bool_select"
],
"default": "True",
"usePair": true
},
{
"name": "sep",
"label": "Seperator",
"type": "text",
"usePair": true
},
{
"name": "na_rep",
"label": "Na Replacing Value",
"type": "text",
"usePair": true
},
{
"name": "columns",
"label": "Columns",
"usePair": true
}
]
},
"pdFunc_merge": {
"name": "Merge",
"library": "pandas",
"description": "Merge 2 objects",
"docs": "https://pandas.pydata.org/docs/reference/api/pandas.merge.html",
"code": "${o0} = pd.merge(${i0}, ${i1}${left_on}${right_on}${how}${sort})",
"options": [
{
"name": "i0",
"label": "Left Dataframe",
"required": true,
"component": [
"data_select"
],
"var_type": [
"DataFrame"
]
},
{
"name": "i1",
"label": "Right Dataframe",
"required": true,
"component": [
"data_select"
],
"var_type": [
"DataFrame"
]
},
{
"name": "o0",
"label": "Allocate to",
"output": true,
"component": [
"input"
]
},
{
"name": "left_on",
"label": "Left Key",
"type": "text",
"usePair": true
},
{
"name": "right_on",
"label": "Right Key",
"type": "text",
"usePair": true
},
{
"name": "how",
"label": "Merge Type",
"type": "text",
"component": [
"option_select"
],
"options": [
"left",
"right",
"inner",
"outer"
],
"usePair": true
},
{
"name": "sort",
"label": "Sort",
"usePair": true
}
]
},
"pd009": {
"name": "Join",
"library": "pandas",
"description": "Merge multiple objects",
"docs": "https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.join.html",
"code": "${o0} = ${i0}.join(${i1}${on}${how}${sort}${lsuffix}${rsuffix})",
"options": [
{
"name": "i0",
"label": "Target Variable",
"required": true,
"component": [
"data_select"
],
"var_type": [
"DataFrame"
]
},
{
"name": "i1",
"label": "Dataframe To Join",
"required": true,
"component": [
"data_select"
],
"var_type": [
"DataFrame"
]
},
{
"name": "o0",
"label": "Allocate to",
"output": true,
"component": [
"input"
]
},
{
"name": "on",
"label": "Key",
"type": "text",
"usePair": true
},
{
"name": "how",
"label": "Type",
"type": "text",
"component": [
"option_select"
],
"options": [
"left",
"right",
"inner",
"outer"
],
"usePair": true
},
{
"name": "sort",
"label": "Sort",
"component": [
"bool_select"
],
"usePair": true
},
{
"name": "lsuffix",
"label": "Left Suffix",
"type": "text",
"usePair": true
},
{
"name": "rsuffix",
"label": "Right Suffix",
"type": "text",
"usePair": true
}
]
},
"pdFunc_concat": {
"name": "Concat",
"library": "pandas",
"description": "Merge multiple objects",
"docs": "https://pandas.pydata.org/docs/reference/api/pandas.concat.html",
"code": "${o0} = pd.concat([${i0}]${index}${axis}${sort}${join})",
"options": [
{
"name": "i0",
"label": "Target Variable",
"required": true,
"component": [
"var_multi"
],
"var_type": [
"DataFrame",
"Series"
]
},
{
"name": "o0",
"label": "Allocate to",
"output": true,
"component": [
"input"
]
},
{
"name": "index",
"label": "Index List",
"usePair": true
},
{
"name": "axis",
"label": "Axis",
"component": [
"option_select"
],
"help": "0:row / 1:column",
"options": [
0,
1
],
"options_label": [
"row",
"column"
],
"usePair": true
},
{
"name": "sort",
"label": "Sort",
"component": [
"bool_select"
],
"usePair": true
},
{
"name": "join",
"label": "Join",
"type": "text",
"component": [
"option_select"
],
"options": [
"inner",
"outer"
],
"usePair": true
}
]
},
"pdSdt_sortByIndex": {
"name": "Sort By Index",
"library": "pandas",
"description": "Sort by index",
"docs": "https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.sort_index.html",
"code": "${o0} = ${i0}.sort_index(${axis}${ascending}${inplace}${kind})",
"options": [
{
"name": "i0",
"label": "Target Variable",
"required": true,
"component": [
"data_select"
],
"var_type": [
"DataFrame",
"Series"
]
},
{
"name": "o0",
"label": "Allocate to",
"output": true,
"component": [
"input"
]
},
{
"name": "axis",
"label": "Sort By",
"component": [
"option_select"
],
"help": "0:row / 1:column",
"default": 0,
"options": [
0,
1
],
"options_label": [
"row",
"column"
],
"usePair": true
},
{
"name": "ascending",
"label": "Ascending Sort",
"component": [
"bool_select"
],
"default": "True",
"usePair": true
},
{
"name": "inplace",
"label": "Inplace",
"component": [
"bool_select"
],
"default": "False",
"usePair": true
},
{
"name": "kind",
"label": "Sort Kind",
"type": "text",
"component": [
"option_select"
],
"default": "quicksort",
"options": [
"quicksort",
"mergesort",
"heapsort"
],
"options_label": [
"quicksort",
"mergesort",
"heapsort"
],
"usePair": true
}
]
},
"pdGrp_groupby": {
"name": "Group By",
"library": "pandas",
"description": "Group DataFrame/Series",
"docs": "https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.groupby.html",
"code": "${o0} = ${i0}.groupby(${level}${axis}${sort}${as_index})",
"options": [
{
"name": "i0",
"label": "Target Variable",
"required": true,
"component": [
"data_select"
],
"var_type": [
"DataFrame",
"Series"
]
},
{
"name": "level",
"label": "Grouping Column",
"required": true
},
{
"name": "o0",
"label": "Allocate to",
"output": true,
"component": [
"input"
]
},
{
"name": "axis",
"label": "Axis",
"component": [
"option_select"
],
"help": "0:row / 1:column",
"options": [
0,
1
],
"options_label": [
"row",
"column"
],
"usePair": true
},
{
"name": "sort",
"label": "Sort",
"component": [
"bool_select"
],
"usePair": true
},
{
"name": "as_index",
"label": "Remove Index",
"component": [
"bool_select"
],
"help": "same as reset_index()",
"default": "True",
"usePair": true
}
]
},
"pdParr_period": {
"name": "Period",
"library": "pandas",
"description": "Create Period object",
"docs": "https://pandas.pydata.org/docs/reference/api/pandas.Period.html",
"code": "${o0} = pd.Period(${i0}${freq}${year}${month}${day})",
"options": [
{
"name": "i0",
"label": "Date",
"required": true
},
{
"name": "o0",
"label": "Allocate to",
"output": true,
"component": [
"input"
]
},
{
"name": "freq",
"label": "Frequency",
"component": [
"option_select"
],
"options": [
"s",
"T",
"H",
"D",
"B",
"W",
"W-MON",
"M"
],
"options_label": [
"second",
"minute",
"hour",
"day",
"weekdays",
"week(Sunday)",
"week(Monday)",
"last day of month"
],
"usePair": true
},
{
"name": "year",
"label": "Year",
"index": 1,
"usePair": true
},
{
"name": "month",
"label": "Month",
"index": 2,
"usePair": true
},
{
"name": "day",
"label": "Day",
"index": 3,
"usePair": true
}
]
},
"pdFunc_dropNA": {
"name": "Drop NA",
"library": "pandas",
"description": "",
"docs": "https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.dropna.html",
"code": "${o0} = ${i0}.dropna(${axis}${how}${thresh})",
"options": [
{
"name": "i0",
"label": "Target Variable",
"required": true,
"component": [
"data_select"
],
"var_type": [
"DataFrame",
"Series"
]
},
{
"name": "o0",
"label": "Allocate to",
"output": true,
"component": [
"input"
]
},
{
"name": "axis",
"label": "Axis",
"component": [
"option_select"
],
"help": "0:row / 1:column",
"options": [
0,
1
],
"options_label": [
"row",
"column"
],
"usePair": true
},
{
"name": "how",
"label": "How",
"type": "text",
"component": [
"option_select"
],
"help": "any: drop if na exist more than one\nall: drop if na exist every row/column",
"options": [
"any",
"all"
],
"usePair": true
},
{
"name": "thresh",
"label": "Na Minimum Standard",
"usePair": true
}
]
},
"pdFunc_fillNA": {
"name": "Fill NA",
"library": "pandas",
"description": "replace null using value",
"docs": "https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.fillna.html",
"code": "${o0} = ${i0}.fillna(${value}${axis}${method}${inplace}${limit})",
"options": [
{
"name": "i0",
"label": "Target Variable",
"required": true,
"component": [
"data_select"
],
"var_type": [
"DataFrame",
"Series"
]
},
{
"name": "o0",
"label": "Allocate to",
"output": true,
"component": [
"input"
]
},
{
"name": "value",
"label": "Value To Fill",
"usePair": true
},
{
"name": "axis",
"label": "Axis",
"component": [
"option_select"
],
"help": "0:row / 1:column",
"default": 0,
"options": [
0,
1
],
"options_label": [
"row",
"column"
],
"usePair": true
},
{
"name": "method",
"label": "How",
"component": [
"option_select"
],
"help": "ffill:fill with before value\nbfill:fill with after value",
"default": "None",
"options": [
"None",
"'ffill'",
"'bfill'"
],
"usePair": true
},
{
"name": "inplace",
"label": "Inplace",
"component": [
"bool_select"
],
"usePair": true
},
{
"name": "limit",
"label": "Gap Limit",
"usePair": true
}
]
},
"pdFunc_isDuplicated": {
"name": "Get Duplicates",
"library": "pandas",
"description": "Get duplicates",
"docs": "https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.duplicated.html",
"code": "${o0} = ${i0}.duplicated(${keep})",
"options": [
{
"name": "i0",
"label": "Target Variable",
"required": true,
"component": [
"data_select"
],
"var_type": [
"DataFrame",
"Series"
]
},
{
"name": "o0",
"label": "Allocate to",
"output": true,
"component": [
"input"
]
},
{
"name": "keep",
"label": "Mark Duplicated When",
"component": [
"option_select"
],
"default": "'first'",
"options": [
"'first'",
"'last'",
"False"
],
"usePair": true
}
]
},
"pdFunc_dropDuplicates": {
"name": "Drop Duplicates",
"library": "pandas",
"description": "Drop duplicates",
"code": "${o0} = ${i0}.drop_duplicates(${keep})",
"options": [
{
"name": "i0",
"label": "Target Variable",
"required": true,
"component": [
"data_select"
],
"var_type": [
"DataFrame",
"Series"
]
},
{
"name": "o0",
"label": "Allocate to",
"output": true,
"component": [
"input"
]
},
{
"name": "keep",
"label": "Mark Duplicated When",
"component": [
"option_select"
],
"default": "'first'",
"options": [
"'first'",
"'last'",
"False"
],
"usePair": true
}
]
},
"pdFunc_replace": {
"name": "Scala Replace",