本文整理匯總了Python中wordcloud.ImageColorGenerator方法的典型用法代碼示例。如果您正苦于以下問題：Python wordcloud.ImageColorGenerator方法的具體用法？Python wordcloud.ImageColorGenerator怎么用？Python wordcloud.ImageColorGenerator使用的例子？那么恭喜您, 這里精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在模塊wordcloud的用法示例。

在下文中一共展示了wordcloud.ImageColorGenerator方法的11個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點贊，您的評價將有助于我們的系統推薦出更棒的Python代碼示例。

示例1: main

?點贊 6

?

# 需要導入模塊: import wordcloud [as 別名]

# 或者: from wordcloud import ImageColorGenerator [as 別名]

def main():

seg = Seg()

doc = '''自然語言處理: 是人工智能和語言學領域的分支學科。

在這此領域中探討如何處理及運用自然語言；自然語言認知則是指讓電腦“懂”人類的語言。

自然語言生成系統把計算機數據轉化為自然語言。自然語言理解系統把自然語言轉化為計算機程序更易于處理的形式。'''

# res = seg.seg_from_doc(doc)

datalist = seg.get_data_from_mysql(1000, 0)

keywords = dict(seg.get_keyword_from_datalist(datalist))

font_path = root_path + '/data/simfang.ttf'

bg_path = root_path + '/data/bg.jpg'

#back_color = np.array(Image.open(bg_path))

back_color = imread(bg_path)

image_colors = ImageColorGenerator(back_color)

wordcloud = WordCloud(font_path=font_path, background_color="white", mask=back_color,

max_words=2000, max_font_size=100, random_state=48, width=1000, height=800, margin=2)

wordcloud.generate_from_frequencies(keywords)

plt.figure()

plt.imshow(wordcloud.recolor(color_func=image_colors))

plt.axis("off")

plt.show()

wordcloud.to_file(root_path + '/data/pic2.png')

開發者ID:ljw9609，項目名稱:SentimentAnalysis，代碼行數:24，

示例2: draw_word_cloud

?點贊 6

?

# 需要導入模塊: import wordcloud [as 別名]

# 或者: from wordcloud import ImageColorGenerator [as 別名]

def draw_word_cloud(content):

d = os.path.dirname(__file__)

img = Image.open(os.path.join(d, "changzuoren.jpg"))

width = img.width / 80

height = img.height / 80

alice_coloring = np.array(img)

my_wordcloud = WordCloud(background_color="white",

max_words=500, mask=alice_coloring,

max_font_size=200, random_state=42,

font_path=(os.path.join(d, "../common/font/PingFang.ttc")))

my_wordcloud = my_wordcloud.generate_from_frequencies(content)

image_colors = ImageColorGenerator(alice_coloring)

plt.figure(figsize=(width, height))

plt.imshow(my_wordcloud.recolor(color_func=image_colors))

plt.imshow(my_wordcloud)

plt.axis("off")

# 通過設置subplots_adjust來控制畫面外邊框

plt.subplots_adjust(bottom=.01, top=.99, left=.01, right=.99)

plt.savefig("changzuoren_wordcloud.png")

plt.show()

開發者ID:keejo125，項目名稱:web_scraping_and_data_analysis，代碼行數:23，

示例3: draw_word_cloud

?點贊 6

?

# 需要導入模塊: import wordcloud [as 別名]

# 或者: from wordcloud import ImageColorGenerator [as 別名]

def draw_word_cloud(content):

d = os.path.dirname(__file__)

img = Image.open(os.path.join(d, "toutiao.jpg"))

width = img.width / 80

height = img.height / 80

alice_coloring = np.array(img)

my_wordcloud = WordCloud(background_color="white",

max_words=500, mask=alice_coloring,

max_font_size=200, random_state=42,

font_path=(os.path.join(d, "../common/font/PingFang.ttc")))

my_wordcloud = my_wordcloud.generate_from_frequencies(content)

image_colors = ImageColorGenerator(alice_coloring)

plt.figure(figsize=(width, height))

plt.imshow(my_wordcloud.recolor(color_func=image_colors))

plt.imshow(my_wordcloud)

plt.axis("off")

# 通過設置subplots_adjust來控制畫面外邊框

plt.subplots_adjust(bottom=.01, top=.99, left=.01, right=.99)

plt.savefig("toutiao_wordcloud.png")

plt.show()

開發者ID:keejo125，項目名稱:web_scraping_and_data_analysis，代碼行數:23，

示例4: gen_gradient_mask

?點贊 5

?

# 需要導入模塊: import wordcloud [as 別名]

# 或者: from wordcloud import ImageColorGenerator [as 別名]

def gen_gradient_mask(

size: int,

palette: str,

icon_dir: str = ".temp",

gradient_dir: str = "horizontal",

invert_mask: bool = False,

):

"""Generates a gradient color mask from a specified palette."""

mask_array = gen_mask_array(icon_dir, invert_mask, size)

mask_array = np.float32(mask_array)

palette_func = gen_palette(palette)

gradient = np.array(makeMappingArray(size, palette_func.mpl_colormap))

# matplotlib color maps are from range of (0, 1). Convert to RGB.

gradient *= 255.0

# Add new axis and repeat gradient across it.

gradient = np.tile(gradient, (size, 1, 1))

# if vertical, transpose the gradient.

if gradient_dir == "vertical":

gradient = np.transpose(gradient, (1, 0, 2))

# Turn any nonwhite pixels on the icon into the gradient colors.

white = (255.0, 255.0, 255.0, 255.0)

mask_array[mask_array != white] = gradient[mask_array != white]

image_colors = ImageColorGenerator(mask_array)

return image_colors, np.uint8(mask_array)

開發者ID:minimaxir，項目名稱:stylecloud，代碼行數:32，

示例5: WordCloudAPI

?點贊 5

?

# 需要導入模塊: import wordcloud [as 別名]

# 或者: from wordcloud import ImageColorGenerator [as 別名]

def WordCloudAPI(request):

# ImgInfo.objects.filter(UserInfo_id=text).update(wordcloud=res)

# print("更新完畢~~")

# wordlist_after_jieba = jieba.cut(content, cut_all=False)

# wl_space_split = " ".join(wordlist_after_jieba)

# backgroud_Image = plt.imread(path.dirname(__file__) + '\color.png')

# '''設置詞云樣式'''

# stopwords = STOPWORDS.copy()

# stopwords.add("哈哈") #可以加多個屏蔽詞

# wc = WordCloud(

# width=770,

# height=1200,

# background_color='white',# 設置背景顏色

# # mask=backgroud_Image,# 設置背景圖片

# font_path=path.dirname(__file__) + '\simkai.ttf', # 設置中文字體，若是有中文的話，這句代碼必須添加，不然會出現方框，不出現漢字

# max_words=600, # 設置最大現實的字數

# stopwords=stopwords,# 設置停用詞

# max_font_size=400,# 設置字體最大值

# random_state=50,# 設置有多少種隨機生成狀態，即有多少種配色方案

# )

# wc.generate_from_text(wl_space_split)#開始加載文本

# img_colors = ImageColorGenerator(backgroud_Image)

# wc.recolor(color_func=img_colors)#字體顏色為背景圖片的顏色

# d = path.dirname(__file__)

# wc.to_file(path.join(d, "wc.jpg"))

# print('生成詞云成功!')

# with open(path.dirname(__file__) + '\wc.jpg', 'rb') as f:

# base64_data = base64.b64encode(f.read())

# url = base64_data.decode()

pass

開發者ID:Superbsco，項目名稱:weibo-analysis-system，代碼行數:32，

示例6: drawWordCloud

?點贊 5

?

# 需要導入模塊: import wordcloud [as 別名]

# 或者: from wordcloud import ImageColorGenerator [as 別名]

def drawWordCloud(self, word_text, filename, dict_type=False, background_image='image/tom2.jpeg'):

"""

:param word_text:

:param filename:

:param dict_type:

:param background_image: 詞云圖的背景形狀

:return:

"""

mask = Image.open(BASE_DIR + background_image)

mask = np.array(mask)

my_wordcloud = WordCloud(

background_color='white', # 設置背景顏色

mask=mask, # 設置背景圖片

max_words=2000, # 設置最大現實的字數

stopwords=STOPWORDS, # 設置停用詞

font_path=self.system_font, # 設置字體格式，如不設置顯示不了中文

max_font_size=50, # 設置字體最大值

random_state=30, # 設置有多少種隨機生成狀態，即有多少種配色方案

scale=1.3

)

if not dict_type:

my_wordcloud = my_wordcloud.generate(word_text)

else:

my_wordcloud = my_wordcloud.fit_words(word_text)

image_colors = ImageColorGenerator(mask)

my_wordcloud.recolor(color_func=image_colors)

# 以下代碼顯示圖片

plt.imshow(my_wordcloud)

plt.axis("off")

# 保存圖片

if not self.from_web:

my_wordcloud.to_file(filename=self.image_path + filename + '.jpg')

print("result file path:", self.image_path + filename + '.jpg')

plt.show()

else:

my_wordcloud.to_file(filename=self.web_image_bash_path + filename + '.jpg')

print("result file path:", self.web_image_bash_path + filename + '.jpg')

開發者ID:Maicius，項目名稱:QQZoneMood，代碼行數:40，

示例7: show

?點贊 5

?

# 需要導入模塊: import wordcloud [as 別名]

# 或者: from wordcloud import ImageColorGenerator [as 別名]

def show(file, pic):

global main_dir

d = path.dirname(__file__)

text = open(path.join(d, main_dir+file), encoding='utf-8').read()

# 自定義圖片

my_coloring = np.array(Image.open(path.join(d, pic)))

# 設置停用詞

stopwords = set(STOPWORDS)

stopwords.add("")

# 設置詞云形狀

wc = WordCloud(font_path='simhei.ttf', width=800, height= 600, background_color="white", max_words=300, mask=my_coloring,

stopwords=stopwords, max_font_size=110, random_state=200)

# 運行統計

wc.generate(text)

# 獲取color

image_colors = ImageColorGenerator(my_coloring)

# 展示

plt.imshow(wc, interpolation="bilinear")

plt.axis("off")

plt.figure()

wc.to_file(file+'_1.png')

# 按照給定的圖片顏色布局生成字體顏色

plt.imshow(wc.recolor(color_func=image_colors), interpolation="bilinear")

plt.axis("off")

plt.figure()

wc.to_file(file+'_2.png')

plt.imshow(my_coloring, cmap=plt.cm.gray, interpolation="bilinear")

plt.axis("off")

plt.show()

開發者ID:ZubinGou，項目名稱:AI_Poet_Totoro，代碼行數:37，

示例8: make_wc_custom

?點贊 5

?

# 需要導入模塊: import wordcloud [as 別名]

# 或者: from wordcloud import ImageColorGenerator [as 別名]

def make_wc_custom(self, mask, text, max):

try:

coloring = np.array(PIL.Image.open(mask))

wc = WordCloud(width=1024, height=768, max_words=max, mask=coloring)

wc = wc.generate(' '.join(text))

image_colors = ImageColorGenerator(coloring)

wc = wc.recolor(color_func=image_colors)

img = wc.to_image()

b = BytesIO()

img.save(b, 'png')

b.seek(0)

return b

except Exception as e:

return str(e)

開發者ID:NotSoSuper，項目名稱:NotSoBot，代碼行數:16，代碼來源:Wc.py

示例9: wordCloud

?點贊 5

?

# 需要導入模塊: import wordcloud [as 別名]

# 或者: from wordcloud import ImageColorGenerator [as 別名]

def wordCloud(wordList):

from wordcloud import WordCloud, ImageColorGenerator

import matplotlib.pyplot as plt

import numpy as np

import PIL.Image as Image

import os

d = os.path.dirname(__file__)

img = Image.open(os.path.join(d, "jupiter.png"))

width = img.width/80

height = img.height/80

alice_coloring = np.array(img)

my_wordcloud = WordCloud(background_color="white",

max_words=500, mask=alice_coloring,

max_font_size=200, random_state=42,

font_path=(os.path.join(d, "../font/PingFang.ttc")))

my_wordcloud = my_wordcloud.generate_from_frequencies(wordList)

image_colors = ImageColorGenerator(alice_coloring)

plt.figure(figsize=(width, height))

plt.imshow(my_wordcloud.recolor(color_func=image_colors))

plt.imshow(my_wordcloud)

plt.axis("off")

# 通過設置subplots_adjust來控制畫面外邊框

plt.subplots_adjust(bottom=.01, top=.99, left=.01, right=.99)

plt.savefig("jupiter_wordcloud_1.png")

plt.show()

開發者ID:keejo125，項目名稱:web_scraping_and_data_analysis，代碼行數:28，

示例10: main

?點贊 4

?

# 需要導入模塊: import wordcloud [as 別名]

# 或者: from wordcloud import ImageColorGenerator [as 別名]

def main(input_filename):

content = '\n'.join([line.strip()

for line in codecs.open(input_filename, 'r', 'utf-8')

if len(line.strip()) > 0])

stopwords = set([line.strip()

for line in codecs.open(stopwords_filename, 'r', 'utf-8')])

segs = jieba.cut(content)

words = []

for seg in segs:

word = seg.strip().lower()

if len(word) > 1 and word not in stopwords:

words.append(word)

words_df = pandas.DataFrame({'word':words})

words_stat = words_df.groupby(by=['word'])['word'].agg({'number' : np.size})

words_stat = words_stat.reset_index().sort_values(by="number",ascending=False)

print '# of different words =', len(words_stat)

input_prefix = input_filename

if input_filename.find('.') != -1:

input_prefix = '.'.join(input_filename.split('.')[:-1])

for file in listdir(template_dir):

if file[-4:] != '.png' and file[-4:] != '.jpg':

continue

background_picture_filename = join(template_dir, file)

if isfile(background_picture_filename):

prefix = file.split('.')[0]

bimg=imread(background_picture_filename)

wordcloud=WordCloud(font_path=font_filename,background_color='white',mask = bimg,max_font_size=600,random_state=100)

wordcloud=wordcloud.fit_words(dict(words_stat.head(4000).itertuples(index=False)))

bimgColors=ImageColorGenerator(bimg)

wordcloud.recolor(color_func=bimgColors)

output_filename = prefix + '_' + input_prefix + '.png'

print 'Saving', output_filename

wordcloud.to_file(output_filename)

開發者ID:shangjingbo1226，項目名稱:ChineseWordCloud，代碼行數:44，

示例11: main

?點贊 4

?

# 需要導入模塊: import wordcloud [as 別名]

# 或者: from wordcloud import ImageColorGenerator [as 別名]

def main():

doc = '''杰森我愛你！加油你是最棒的！'''

start_time = time.time()

datalist = Seg().get_data_from_mysql(5, 0)

npl = SimpleNLP(1, doc, datalist)

print(npl.seg_doc())

print(npl.seg_datalist())

keyword = npl.get_keyword_datalist()

print(keyword)

print(len(keyword))

'''

font_path = root_path+'/data/simfang.ttf'

bg_path = root_path + '/data/bg.jpg'

back_color = imread(bg_path)

image_colors = ImageColorGenerator(back_color)

wordcloud = WordCloud(font_path=font_path, background_color="white", mask=back_color,

max_words=2000, max_font_size=100, width=1000, height=800, margin=2, random_state=48)

wordcloud.generate_from_frequencies(keyword)

plt.figure()

plt.imshow(wordcloud.recolor(color_func=image_colors))

plt.axis("off")

plt.show()

wordcloud.to_file(root_path + '/data/pic2.png')

print(npl.sentiment_analysis_doc())

res = npl.sentiment_analysis_datalist()

# max_qty = Counter(res).most_common(1)[0][1]

# print(max_qty)

print(res)

res2 = np.array(res)

mean = np.mean(res2)

print(mean)

# plt.hist(res2, bins=np.arange(0, 1, 0.005))

# plt.title("sentiment")

# plt.xlabel("score")

# plt.ylabel("amount")

# plt.show()

end_time = time.time()

print(end_time - start_time)

# f = open(root_path + '/data/10w-nb-30000v2', 'w')

# f.write(str(res))

# f.close()

'''

開發者ID:ljw9609，項目名稱:SentimentAnalysis，代碼行數:49，

注：本文中的wordcloud.ImageColorGenerator方法示例整理自Github/MSDocs等源碼及文檔管理平臺，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。

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