from wordcloud import WordCloud
wordcloud = WordCloud(font_path=r"/System/Library/Fonts/Hiragino Sans GB.ttc").generate(words)
wordcloud.to_file("./sample.png")
実行結果
フォントだけは指定しないと文字化けしてしまうので、フォントは指定しました。
他はこの状態がデフォルトです。
それでは始めていきましょう。
WordCloudのヘルプを確認
まずはWordCloudのヘルプを見て、何を変更できるのか確認していきましょう。
from wordcloud import WordCloud
help(WordCloud)
実行結果
Help on class WordCloud in module wordcloud.wordcloud:
class WordCloud(builtins.object)
| WordCloud(font_path=None, width=400, height=200, margin=2, ranks_only=None, prefer_horizontal=0.9, mask=None, scale=1, color_func=None, max_words=200, min_font_size=4, stopwords=None, random_state=None, background_color='black', max_font_size=None, font_step=1, mode='RGB', relative_scaling='auto', regexp=None, collocations=True, colormap=None, normalize_plurals=True, contour_width=0, contour_color='black', repeat=False, include_numbers=False, min_word_length=0, collocation_threshold=30)
|
| Word cloud object for generating and drawing.
|
| Parameters
| ----------
| font_path : string
| Font path to the font that will be used (OTF or TTF).
| Defaults to DroidSansMono path on a Linux machine. If you are on
| another OS or don't have this font, you need to adjust this path.
|
| width : int (default=400)
| Width of the canvas.
|
| height : int (default=200)
| Height of the canvas.
|
| prefer_horizontal : float (default=0.90)
| The ratio of times to try horizontal fitting as opposed to vertical.
| If prefer_horizontal < 1, the algorithm will try rotating the word
| if it doesn't fit. (There is currently no built-in way to get only
| vertical words.)
|
| mask : nd-array or None (default=None)
| If not None, gives a binary mask on where to draw words. If mask is not
| None, width and height will be ignored and the shape of mask will be
| used instead. All white (#FF or #FFFFFF) entries will be considerd
| "masked out" while other entries will be free to draw on. [This
| changed in the most recent version!]
|
| contour_width: float (default=0)
| If mask is not None and contour_width > 0, draw the mask contour.
|
| contour_color: color value (default="black")
| Mask contour color.
|
| scale : float (default=1)
| Scaling between computation and drawing. For large word-cloud images,
| using scale instead of larger canvas size is significantly faster, but
| might lead to a coarser fit for the words.
|
| min_font_size : int (default=4)
| Smallest font size to use. Will stop when there is no more room in this
| size.
|
| font_step : int (default=1)
| Step size for the font. font_step > 1 might speed up computation but
| give a worse fit.
|
| max_words : number (default=200)
| The maximum number of words.
|
| stopwords : set of strings or None
| The words that will be eliminated. If None, the build-in STOPWORDS
| list will be used. Ignored if using generate_from_frequencies.
|
| background_color : color value (default="black")
| Background color for the word cloud image.
|
| max_font_size : int or None (default=None)
| Maximum font size for the largest word. If None, height of the image is
| used.
|
| mode : string (default="RGB")
| Transparent background will be generated when mode is "RGBA" and
| background_color is None.
|
| relative_scaling : float (default='auto')
| Importance of relative word frequencies for font-size. With
| relative_scaling=0, only word-ranks are considered. With
| relative_scaling=1, a word that is twice as frequent will have twice
| the size. If you want to consider the word frequencies and not only
| their rank, relative_scaling around .5 often looks good.
| If 'auto' it will be set to 0.5 unless repeat is true, in which
| case it will be set to 0.
|
| .. versionchanged: 2.0
| Default is now 'auto'.
|
| color_func : callable, default=None
| Callable with parameters word, font_size, position, orientation,
| font_path, random_state that returns a PIL color for each word.
| Overwrites "colormap".
| See colormap for specifying a matplotlib colormap instead.
| To create a word cloud with a single color, use
| ``color_func=lambda *args, **kwargs: "white"``.
| The single color can also be specified using RGB code. For example
| ``color_func=lambda *args, **kwargs: (255,0,0)`` sets color to red.
|
| regexp : string or None (optional)
| Regular expression to split the input text into tokens in process_text.
| If None is specified, ``r"\w[\w']+"`` is used. Ignored if using
| generate_from_frequencies.
|
| collocations : bool, default=True
| Whether to include collocations (bigrams) of two words. Ignored if using
| generate_from_frequencies.
|
|
| .. versionadded: 2.0
|
| colormap : string or matplotlib colormap, default="viridis"
| Matplotlib colormap to randomly draw colors from for each word.
| Ignored if "color_func" is specified.
|
| .. versionadded: 2.0
|
| normalize_plurals : bool, default=True
| Whether to remove trailing 's' from words. If True and a word
| appears with and without a trailing 's', the one with trailing 's'
| is removed and its counts are added to the version without
| trailing 's' -- unless the word ends with 'ss'. Ignored if using
| generate_from_frequencies.
|
| repeat : bool, default=False
| Whether to repeat words and phrases until max_words or min_font_size
| is reached.
|
| include_numbers : bool, default=False
| Whether to include numbers as phrases or not.
|
| min_word_length : int, default=0
| Minimum number of letters a word must have to be included.
|
| collocation_threshold: int, default=30
| Bigrams must have a Dunning likelihood collocation score greater than this
| parameter to be counted as bigrams. Default of 30 is arbitrary.
|
| See Manning, C.D., Manning, C.D. and Schütze, H., 1999. Foundations of
| Statistical Natural Language Processing. MIT press, p. 162
| https://nlp.stanford.edu/fsnlp/promo/colloc.pdf#page=22
（以下略）
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