pythainlp.util¶

The pythainlp.util contains utility functions, like text conversion and formatting

Modules¶

pythainlp.util.arabic_digit_to_thai_digit(text: str) → str [source]¶

This function convert Arabic digits (i.e. 1, 3, 10) to Thai digits (i.e. ๑, ๓, ๑๐).

Parameters: text (str) – Text with Arabic digits such as ‘1’, ‘2’, ‘3’
Returns: Text with Arabic digits being converted to Thai digits such as ‘๑’, ‘๒’, ‘๓’
Return type: str
Example

from pythainlp.util import arabic_digit_to_thai_digit

text = 'เป็นจำนวน 123,400.25 บาท'

arabic_digit_to_thai_digit(text)
# output: เป็นจำนวน ๑๒๓,๔๐๐.๒๕ บาท

pythainlp.util.bahttext(number: float) → str [source]¶

This function converts a number to Thai text and adds a suffix “บาท” (Baht). The precision will be fixed at two decimal places (0.00) to fits “สตางค์” (Satang) unit. This function works similar to BAHTTEXT function in Microsoft Excel.

Parameters: number (float) – number to be converted into Thai Baht currency format
Returns: text representing the amount of money in the format of Thai currency
Return type: str
Example

from pythainlp.util import bahttext

bahttext(1)
# output: หนึ่งบาทถ้วน

bahttext(21)
# output: ยี่สิบเอ็ดบาทถ้วน

bahttext(200)
# output: สองร้อยบาทถ้วน

pythainlp.util.collate(data: Iterable, reverse: bool = False) → List[str][source]¶

This function sorts a list of strings according to Thai alphabets.

Parameters

data (list[str]) – a list of words to be sorted
reverse (bool) – If reverse is set to True the result will be sorted in descending order. Otherwise, the result will be sorted in ascending order. By default, the parameter reverse is set to False, sorting alphabettically in ascending order.

Returns

a list of strings, sorted alphabetically, according to Thai alphabets

Return type

list[str]

Example

from pythainlp.util import collate

collate(['ไก่', 'เกิด', 'กาล', 'เป็ด', 'หมู', 'วัว', 'วันที่'])
# output: ['กาล', 'เกิด', 'ไก่', 'เป็ด', 'วันที่', 'วัว', 'หมู']

collate(['ไก่', 'เกิด', 'กาล', 'เป็ด', 'หมู', 'วัว', 'วันที่'], \
    reverse=True)
# output: ['หมู', 'วัว', 'วันที่', 'เป็ด', 'ไก่', 'เกิด', 'กาล']

pythainlp.util.dict_trie(dict_source: Union[str, Iterable[str], pythainlp.util.trie.Trie]) → pythainlp.util.trie.Trie[source]¶

Create a dictionary trie from a file or an iterable.

Parameters: dict_source (str|Iterable[str]|pythainlp.util.Trie) – a path to dictionary file or a list of words or a pythainlp.util.Trie object
Returns: a trie object
Return type: pythainlp.util.Trie

pythainlp.util.digit_to_text(text: str) → str [source]¶

Parameters: text (str) – Text with digits such as ‘1’, ‘2’, ‘๓’, ‘๔’
Returns: Text with digits being spelled out in Thai

pythainlp.util.display_thai_char(char: str) → str [source]¶

This function adds a underscore (_) prefix to high-position vowels and tone marks to ease readability

Parameters: character (str) –
Returns: returns True if the input text all contains Thai characters, otherwise returns False
Return type: bool
Example

display_thai_char(“้”) # output: “_้”

pythainlp.util.emoji_to_thai(text: str, delimiters=(':', ':')) → str [source]¶

This function convert emoji to thai meaning

Parameters: text (str) – Text with Emoji
Returns: Text with Emoji being converted to thai meaning
Return type: str
Example

from pythainlp.util import emoji_to_thai

emoji_to_thai("จะมานั่งรถเมล์เหมือนผมก็ได้นะครับ ใกล้ชิดประชาชนดี 😀")
# output: จะมานั่งรถเมล์เหมือนผมก็ได้นะครับ
          ใกล้ชิดประชาชนดี :หน้ายิ้มยิงฟัน:

emoji_to_thai("หิวข้าวอยากกินอาหารญี่ปุ่น 🍣")
# output: หิวข้าวอยากกินอาหารญี่ปุ่น :ซูชิ:

emoji_to_thai("🇹🇭 นี่คิือธงประเทศไทย")
# output: :ธง_ไทย: นี่คิือธงประเทศไทย

pythainlp.util.eng_to_thai(text: str) → str [source]¶

Corrects the given text that was incorrectly typed using English-US Qwerty keyboard layout to the originally intended keyboard layout that is the Thai Kedmanee keyboard.

Parameters: text (str) – incorrect text input (type Thai with English keyboard)
Returns: Thai text where incorrect typing with a keyboard layout is corrected
Return type: str
Example

Intentionally type “ธนาคารแห่งประเทศไทย”, but got “Tok8kicsj’xitgmLwmp”:

from pythainlp.util import eng_to_thai

eng_to_thai("Tok8kicsj'xitgmLwmp")
# output: ธนาคารแห่งประเทศไทย

pythainlp.util.find_keyword(word_list: List[str], min_len: int = 3) → Dict[str, int][source]¶

This function count the frequency of words in the list where stopword is excluded and returns as a frequency dictionary.

Parameters

word_list (list) – a list of words
min_len (int) – the mininum frequency for words to obtain

Returns

a dictionary object with key-value pair as word and its raw count

Return type

dict[str, int]

Example

from pythainlp.util import find_keyword

words = ["บันทึก", "เหตุการณ์", "บันทึก", "เหตุการณ์",
         " ", "มี", "การ", "บันทึก", "เป็น", " ", "ลายลักษณ์อักษร"
         "และ", "การ", "บันทึก","เสียง","ใน","เหตุการณ์"]

find_keyword(words)
# output: {'บันทึก': 4, 'เหตุการณ์': 3}

find_keyword(words, min_len=1)
# output: {' ': 2, 'บันทึก': 4, 'ลายลักษณ์อักษรและ': 1,
 'เสียง': 1, 'เหตุการณ์': 3}

pythainlp.util.countthai(text: str, ignore_chars: str = ' \t\n\r\x0b\x0c0123456789!"#$%&\'()*+,-./:;<=>?@[\\]^_`{|}~') → float [source]¶

This function calculates percentage of Thai characters in the text with an option to ignored some characters.

Parameters

text (str) – input text
ignore_chars (str) – string of characters to ignore from counting. By default, the ignored characters are whitespace, newline, digits, and punctuation.

Returns

percentage of Thai characters in the text

Return type

float

Example

Find the percentage of Thai characters in the textt with default ignored characters set (whitespace, newline character, punctuation and digits):

from pythainlp.util import countthai

countthai("ดอนัลด์ จอห์น ทรัมป์ English: Donald John Trump")
# output: 45.0

countthai("(English: Donald John Trump)")
# output: 0.0

Find the percentage of Thai characters in the text while ignoring only punctuation but not whitespace, newline character and digits:

import string

string.punctuation
# output: !"#$%&'()*+,-./:;<=>?@[\]^_`{|}~

countthai("ดอนัลด์ จอห์น ทรัมป์ English: Donald John Trump", \
    ignore_chars=string.punctuation)
# output: 39.130434782608695

countthai("ดอนัลด์ จอห์น ทรัมป์ (English: Donald John Trump)", \
    ignore_chars=string.punctuation)
# output: 0.0

pythainlp.util.is_native_thai(word: str) → bool [source]¶

Check if a word is an “native Thai word” (Thai: “คำไทยแท้”) This function based on a simple heuristic algorithm and cannot be entirely reliable.

Parameters: word (str) – word
Returns: True or False
Return type: bool
Example

English word:

from pythainlp.util import is_native_thai

is_native_thai("Avocado")
# output: False

Native Thai word:

is_native_thai("มะม่วง")
# output: True
is_native_thai("ตะวัน")
# output: True

Non-native Thai word:

is_native_thai("สามารถ")
# output: False
is_native_thai("อิสริยาภรณ์")
# output: False

pythainlp.util.isthai(word: str, ignore_chars: str = '.') → bool [source]¶

This function checks if all character in the input string are Thai character.

Parameters

word (str) – input text
ignore_chars (str) – string characters to be ignored (i.e. will be considered as Thai)

Returns

returns True if the input text all contains Thai characters, otherwise returns False

Return type

bool

Example

Check if all character is Thai character. By default, it ignores only full stop (“.”):

from pythainlp.util import isthai

isthai("กาลเวลา")
# output: True

isthai("กาลเวลา.")
# output: True

Explicitly ignore digits, whitespace, and the following characters (“-“, “.”, “$”, “,”):

from pythainlp.util import isthai

isthai("กาลเวลา, การเวลา-ก,  3.75$", ignore_chars="1234567890.-,$ ")
# output: True

pythainlp.util.isthaichar(ch: str) → bool [source]¶

This function checks if the input character is a Thai character.

Parameters: ch (str) – input character
Returns: returns True if the input character is a Thai characttr, otherwise returns False
Return type: bool
Example

from pythainlp.util import isthaichar

isthaichar("ก") # THAI CHARACTER KO KAI
# output: True

isthaichar("๐") # THAI DIGIT ZERO
# output: True

isthaichar("๕") # THAI DIGIT FIVE
# output: True

pythainlp.util.normalize(text: str) → str [source]¶

Normalize and clean Thai text with normalizing rules as follows:

Remove zero-width spaces

Remove duplicate spaces

Reorder tone marks and vowels to standard order/spelling

Remove duplicate vowels and signs

Remove duplicate tone marks

Remove dangling non-base characters at the beginning of text

normalize() simply call remove_zw(), remove_dup_spaces(), remove_repeat_vowels(), and remove_dangling(), in that order.

If a user wants to customize the selection or the order of rules to be applied, they can choose to call those functions by themselves.

Note: for Unicode normalization, see unicodedata.normalize().

Parameters: text (str) – input text
Returns: normalized text according to the fules
Return type: str
Example

from pythainlp.util import normalize

normalize('เเปลก')  # starts with two Sara E
# output: แปลก

normalize('นานาาา')
# output: นานา

pythainlp.util.now_reign_year() → int [source]¶

Return the reign year of the 10th King of Chakri dynasty.

Returns: reign year of the 10th King of Chakri dynasty.
Return type: int
Example

from pythainlp.util import now_reign_year

text = "เป็นปีที่ {reign_year} ในรัชกาลปัจจุบัน"\
    .format(reign_year=now_reign_year())

print(text)
# output: เป็นปีที่ 4 ในรัชการปัจจุบัน

pythainlp.util.num_to_thaiword(number: int) → str [source]¶

This function convert number to Thai text

Parameters: number (int) – an integer number to be converted to Thai text
Returns: text representing the number in Thai
Return type: str
Example

from pythainlp.util import num_to_thaiword

num_to_thaiword(1)
# output: หนึ่ง

num_to_thaiword(11)
# output: สิบเอ็ด

pythainlp.util.rank(words: List[str], exclude_stopwords: bool = False) → collections.Counter [source]¶

Count word frequecy given a list of Thai words with an option to exclude stopwords.

Parameters

words (list) – a list of words
exclude_stopwords (bool) – If this parameter is set to True to exclude stopwords from counting. Otherwise, the stopwords will be counted. By default, `exclude_stopwords`is set to False

Returns

a Counter object representing word frequency from the text

Return type

collections.Counter

Example

Include stopwords in counting word frequency:

from pythainlp.util import rank

words = ["บันทึก", "เหตุการณ์", " ", "มี", "การ", "บันทึก", \
"เป็น", " ", "ลายลักษณ์อักษร"]

rank(words)
# output:
# Counter(
#     {
#         ' ': 2,
#         'การ': 1,
#         'บันทึก': 2,
#         'มี': 1,
#         'ลายลักษณ์อักษร': 1,
#         'เป็น': 1,
#         'เหตุการณ์': 1
#     })

Exclude stopword in counting word frequency:

from pythainlp.util import rank

words = ["บันทึก", "เหตุการณ์", " ", "มี", "การ", "บันทึก", \
    "เป็น", " ", "ลายลักษณ์อักษร"]

rank(words)
# output:
# Counter(
#     {
#         ' ': 2,
#         'บันทึก': 2,
#         'ลายลักษณ์อักษร': 1,
#         'เหตุการณ์': 1
#     })

pythainlp.util.reign_year_to_ad(reign_year: int, reign: int) → int [source]¶

Convert reigh year to AD.

Return AD year according to the reign year for the 7th to 10th King of Chakri dynasty, Thailand. For instance, the AD year of the 4th reign year of the 10th King is 2019.

Parameters

reign_year (int) – reign year of the King
reign (int) – the reign of the King (i.e. 7, 8, 9, and 10)

Returns

the year in AD of the King given the reign and reign year.

Return type

int

Example

from pythainlp.util import reign_year_to_ad

print("The 4th reign year of the King Rama X is in", \
    reign_year_to_ad(4, 10))
# output: The 4th reign year of the King Rama X is in 2019

print("The 1st reign year of the King Rama IX is in", \
    reign_year_to_ad(1, 9))
# output: The 4th reign year of the King Rama X is in 1946

pythainlp.util.remove_dangling(text: str) → str [source]¶

Remove Thai non-base characters at the beginning of text.

This is a common “typo”, especially for input field in a form, as these non-base characters can be visually hidden from user who may accidentally typed them in.

A character to be removed should be both:

tone mark, above vowel, below vowel, or non-base sign AND

located at the beginning of the text

Parameters: text (str) – input text
Returns: text without dangling Thai characters at the beginning
Return type: str

pythainlp.util.remove_dup_spaces(text: str) → str [source]¶

Remove duplicate spaces. Replace multiple spaces with one space.

Multiple newline characters and empty lines will be replaced with one newline character.

Parameters: text (str) – input text
Returns: text without duplicated spaces and newlines
Return type: str

pythainlp.util.remove_repeat_vowels(text: str) → str [source]¶

Remove repeating vowels, tone marks, and signs.

This function will call reorder_vowels() first, to make sure that double Sara E will be converted to Sara Ae and not be removed.

Parameters: text (str) – input text
Returns: text without repeating Thai vowels, tone marks, and signs
Return type: str

pythainlp.util.remove_tonemark(text: str) → str [source]¶

Remove all Thai tone marks from the text.

Thai script has four tone marks indicating four tones as follows:

Down tone (Thai: ไม้เอก _่ )

Falling tone (Thai: ไม้โท _้ )

High tone (Thai: ไม้ตรี _๊ )

Rising tone (Thai: ไม้จัตวา _๋ )

Putting wrong tone mark is a common mistake in Thai writing. By removing tone marks from the string, it could be used to for a approximate string matching

Parameters: text (str) – input text
Returns: text without Thai tone marks
Return type: str
Example

from pythainlp.util import delete_tone

delete_tone('สองพันหนึ่งร้อยสี่สิบเจ็ดล้านสี่แสนแปดหมื่นสามพันหกร้อยสี่สิบเจ็ด')
# output: สองพันหนึงรอยสีสิบเจ็ดลานสีแสนแปดหมืนสามพันหกรอยสีสิบเจ็ด

pythainlp.util.remove_zw(text: str) → str [source]¶

Remove zero-width characters.

These non-visible characters may cause unexpected result from the user’s point of view. Removing them can make string matching more robust.

Characters to be removed:

Zero-width space (ZWSP)

Zero-width non-joiner (ZWJP)

Parameters: text (str) – input text
Returns: text without zero-width characters
Return type: str

pythainlp.util.reorder_vowels(text: str) → str [source]¶

Reorder vowels and tone marks to the standard logical order/spelling.

Characters in input text will be reordered/transformed, according to these rules:

Sara E + Sara E -> Sara Ae

Nikhahit + Sara Aa -> Sara Am

tone mark + non-base vowel -> non-base vowel + tone mark

follow vowel + tone mark -> tone mark + follow vowel

Parameters: text (str) – input text
Returns: text with vowels and tone marks in the standard logical order
Return type: str

pythainlp.util.text_to_arabic_digit(text: str) → str [source]¶

This function convert Thai spelled out digits to Arabic digits.

Parameters: text – A digit spelled out in Thai
Returns: An Arabic digit such as ‘1’, ‘2’, ‘3’ if the text is Thai digit spelled out (ศูนย์, หนึ่ง, สอง, …, เก้า). Otherwise, it returns an empty string.
Return type: str
Example

from pythainlp.util import text_to_arabic_digit

text_to_arabic_digit("ศูนย์")
# output: 0
text_to_arabic_digit("หนึ่ง")
# output: 1
text_to_arabic_digit("แปด")
# output: 8
text_to_arabic_digit("เก้า")
# output: 9

# For text that is not Thai digit spelled out
text_to_arabic_digit("สิบ") == ""
# output: True
text_to_arabic_digit("เก้าร้อย") == ""
# output: True

pythainlp.util.text_to_thai_digit(text: str) → str [source]¶

This function convert Thai spelled out digits to Thai digits.

Parameters: text – A digit spelled out in Thai
Returns: A Thai digit such as ‘๑’, ‘๒’, ‘๓’ if the text is Thai digit spelled out (ศูนย์, หนึ่ง, สอง, …, เก้า). Otherwise, it returns an empty string.
Return type: str
Example

from pythainlp.util import text_to_thai_digit

text_to_thai_digit("ศูนย์")
# output: ๐
text_to_thai_digit("หนึ่ง")
# output: ๑
text_to_thai_digit("แปด")
# output: ๘
text_to_thai_digit("เก้า")
# output: ๙

# For text that is not Thai digit spelled out
text_to_thai_digit("สิบ") == ""
# output: True
text_to_thai_digit("เก้าร้อย") == ""
# output: True

pythainlp.util.thai_strftime(dt_obj: datetime.datetime, fmt: str = '%-d %b %y', thaidigit: bool = False) → str [source]¶

Convert datetime.datetime into Thai date and time format.

The formatting directives are similar to datatime.strrftime().

This function uses Thai names and Thai Buddhist Era for these directives:

%a - abbreviated weekday name (i.e. “จ”, “อ”, “พ”, “พฤ”, “ศ”, “ส”, “อา”)
%A - full weekday name (i.e. “วันจันทร์”, “วันอังคาร”, “วันเสาร์”, “วันอาทิตย์”)
%b - abbreviated month name (i.e. “ม.ค.”,”ก.พ.”,”มี.ค.”,”เม.ย.”,”พ.ค.”,”มิ.ย.”, “ธ.ค.”)
%B - full month name (i.e. “มกราคม”, “กุมภาพันธ์”, “พฤศจิกายน”, “ธันวาคม”,)
%y - year without century (i.e. “56”, “10”)
%Y - year with century (i.e. “2556”, “2410”)
%c - date and time representation (i.e. “พ 6 ต.ค. 01:40:00 2519”)
%v - short date representation (i.e. ” 6-ม.ค.-2562”, “27-ก.พ.-2555”)

Other directives will be passed to datetime.strftime()

Note

The Thai Buddhist Era (BE) year is simply converted from AD by adding 543. This is certainly not accurate for years before 1941 AD, due to the change in Thai New Year’s Day.
This meant to be an interrim solution, since Python standard’s locale module (which relied on C’s strftime()) does not support “th” or “th_TH” locale yet. If supported, we can just locale.setlocale(locale.LC_TIME, “th_TH”) and then use native datetime.strftime().

We trying to make this platform-independent and support extentions as many as possible. See these links for strftime() extensions in POSIX, BSD, and GNU libc:

Python https://docs.python.org/3/library/datetime.html#strftime-strptime-behavior

C http://www.cplusplus.com/reference/ctime/strftime/

GNU https://metacpan.org/pod/POSIX::strftime::GNU

Linux https://linux.die.net/man/3/strftime

OpenBSD https://man.openbsd.org/strftime.3

FreeBSD https://www.unix.com/man-page/FreeBSD/3/strftime/

macOS https://developer.apple.com/library/archive/documentation/System/Conceptual/ManPages_iPhoneOS/man3/strftime.3.html

PHP https://secure.php.net/manual/en/function.strftime.php

JavaScript’s implementation https://github.com/samsonjs/strftime

strftime() quick reference http://www.strftime.net/

Parameters

dt_obj (datetime) – an instantiatetd object of datetime.datetime
fmt (str) – string containing date and time directives
thaidigit (bool) – If thaidigit is set to False (default), number will be represented in Arabic digit. If it is set to True, it will be represented in Thai digit.

Returns

Date and time text, with month in Thai name and year in Thai Buddhist era. The year is simply converted from AD by adding 543 (will not accurate for years before 1941 AD, due to change in Thai New Year’s Day).

Return type

str

Example

from datetime import datetime
from pythainlp.util import thai_strftime

datetime_obj = datetime(year=2019, month=6, day=9, \
    hour=5, minute=59, second=0, microsecond=0)

print(datetime_obj)
# output: 2019-06-09 05:59:00

thai_strftime(datetime_obj, "%A %d %B %Y")
# output: 'วันอาทิตย์ 09 มิถุนายน 2562'

thai_strftime(datetime_obj, "%a %-d %b %y")  # no padding
# output: 'อา 9 มิ.ย. 62'

thai_strftime(datetime_obj, "%a %_d %b %y")  # space padding
# output: 'อา  9 มิ.ย. 62'

thai_strftime(datetime_obj, "%a %0d %b %y")  # zero padding
# output: 'อา 09 มิ.ย. 62'

thai_strftime(datetime_obj, "%-H นาฬิกา %-M นาที", thaidigit=True)
# output: '๕ นาฬิกา ๕๙ นาที'

thai_strftime(datetime_obj, "%D (%v)")
# output: '06/09/62 ( 9-มิ.ย.-2562)'

thai_strftime(datetime_obj, "%c")
# output: 'อา  9 มิ.ย. 05:59:00 2562'

thai_strftime(datetime_obj, "%H:%M %p")
# output: '01:40 AM'

thai_strftime(datetime_obj, "%H:%M %#p")
# output: '01:40 am'

pythainlp.util.thai_to_eng(text: str) → str [source]¶

Corrects the given text that was incorrectly typed using Thai Kedmanee keyboard layout to the originally intended keyboard layout that is the English-US Qwerty keyboard.

Parameters: text (str) – incorrect text input (type English with Thai keyboard)
Returns: English text where incorrect typing with a keyboard layout is corrected
Return type: str
Example

Intentionally type “Bank of Thailand”, but got “ฺฟืา นด ธ้ฟรสฟืก”:

from pythainlp.util import eng_to_thai

thai_to_eng("ฺฟืา นด ธ้ฟรสฟืก")
# output: 'Bank of Thailand'

pythainlp.util.thai_digit_to_arabic_digit(text: str) → str [source]¶

This function convert Thai digits (i.e. ๑, ๓, ๑๐) to Arabic digits (i.e. 1, 3, 10).

Parameters: text (str) – Text with Thai digits such as ‘๑’, ‘๒’, ‘๓’
Returns: Text with Thai digits being converted to Arabic digits such as ‘1’, ‘2’, ‘3’
Return type: str
Example

from pythainlp.util import thai_digit_to_arabic_digit

text = 'เป็นจำนวน ๑๒๓,๔๐๐.๒๕ บาท'

thai_digit_to_arabic_digit(text)
# output: เป็นจำนวน 123,400.25 บาท

pythainlp.util.thaiword_to_date(text: str, date: Optional[datetime.datetime] = None) → Optional[datetime.datetime][source]¶

Convert Thai relative date to datetime.datetime.

Parameters

text (str) – Thai text contains relative date
date (datetime.datetime) – date (default is datetime.datetime.now())

Returns

datetime object, if it can be calculated. Otherwise, None.

Return type

datetime.datetime

Example

thaiword_to_date(“พรุ่งนี้”) # output: # datetime of tomorrow

pythainlp.util.thaiword_to_num(word: str) → int [source]¶

Converts the spelled-out numerals in Thai scripts into an actual integer.

Parameters: word (str) – Spelled-out numerals in Thai scripts
Returns: Corresponding integer value of the input
Return type: int
Example

from pythainlp.util import thaiword_to_num

thaiword_to_num("ศูนย์")
# output: 0

thaiword_to_num("สองล้านสามแสนหกร้อยสิบสอง")
# output: 2300612

pythainlp.util.thaiword_to_time(text: str, padding: bool = True) → str [source]¶

Convert Thai time in words into time (H:M).

Parameters

text (str) – Thai time in words
padding (bool) – Zero padding the hour if True

Returns

time string

Return type

str

Example

thaiword_to_time”บ่ายโมงครึ่ง”) # output: # 13:30

pythainlp.util.time_to_thaiword(time_data: Union[datetime.time, datetime.datetime, str], fmt: str = '24h', precision: Optional[str] = None) → str [source]¶

Spell out time to Thai words.

Parameters

time_data (str) – time input, can be a datetime.time object or a datetime.datetime object or a string (in H:M or H:M:S format, using 24-hour clock)
fmt (str) – time output format * 24h - 24-hour clock (default) * 6h - 6-hour clock * m6h - Modified 6-hour clock
precision (str) – precision of the spell out * m - always spell out to minute level * s - always spell out to second level * None - spell out only non-zero parts

Returns

Time spell out in Thai words

Return type

str

Example

time_to_thaiword(“8:17”) # output: # แปดนาฬิกาสิบเจ็ดนาที

time_to_thaiword(“8:17”, “6h”) # output: # สองโมงเช้าสิบเจ็ดนาที

time_to_thaiword(“8:17”, “m6h”) # output: # แปดโมงสิบเจ็ดนาที

time_to_thaiword(“18:30”, fmt=”m6h”) # output: # หกโมงครึ่ง

time_to_thaiword(datetime.time(12, 3, 0)) # output: # สิบสองนาฬิกาสามนาที

time_to_thaiword(datetime.time(12, 3, 0), precision=”s”) # output: # สิบสองนาฬิกาสามนาทีศูนย์วินาที

class pythainlp.util.Trie(words: Iterable[str])[source]¶

add(word: str) → None [source]¶

Add a word to the trie. Spaces in front of and following the word will be removed.

Parameters: text (str) – a word

prefixes(text: str) → List[str][source]¶

List all possible words from first sequence of characters in a word.

Parameters: text (str) – a word
Returns: a list of possible words
Return type: List[str]

remove(word: str) → None [source]¶

Remove a word from the trie. If the word is not found, do nothing.

Parameters: text (str) – a word