我正在使用:
和以下网站可帮助我安装pytrends https://pypi.org/project/pytrends/
我正在按照说明下载pytrends,并安装了运行pytrends的要求“ 请求, lxml 和 pandas ”。这是说明
pip install pytrends
from pytrends.request import TrendReq
pytrends = TrendReq(hl=’en-US’, tz=360)
但出现以下错误
File "<ipython-input-1-e31d93dc256d>", line 2
pytrends = TrendReq(hl=’en-US’, tz=360)
^ SyntaxError: invalid character in identifier
所以我研究了有助于我的信息,并从https://github.com/GeneralMills/pytrends/blob/master/README.md
找到了一个对我更有效的代码from pytrends.request import TrendReqpytrends = TrendReq(hl='en-US', tz=360)
但是我收到以下错误
ModuleNotFoundError Traceback (most recent call last) <ipython-input-9d1eaf7e6778a>in <module>() ---->
1 from pytrends.request import TrendReq
2
3 pytrends = TrendReq(hl='en-US', tz=360) ModuleNotFoundError: No module named 'pytrends'
我在Jupiter实验室中运行了上述代码。我的猜测是我必须在木星实验室中导入pytrends。我安装了pytrends,但未通过终端安装Jupyter实验室。我将在木星实验室尝试!pip3 install pytrends
。我是通过阅读某人的一个问题来得到这个主意的
https://github.com/GeneralMills/pytrends/issues/248
除了上面的链接外,我还在堆栈溢出中发现了两个其他相关问题,它们可能可以帮助我解决此问题:
Jupyter Notebook: no module named pandas
numpy & pandas 'ModuleNotFoundEror' in Jupyter notebook (Python 3)
答案 0 :(得分:2)
从命令行安装pyTrends之后,您可以在Jupyter Lab内部实例化一个新的笔记本并运行以下代码,并且可以在_timeframe
中找到的期间打印Google趋势数据我声明的变量。
将kw_list
中的搜索词更改为您要在其中搜索搜索趋势数据的词,如下所示:
from pytrends.request import TrendReq
from matplotlib import pyplot as plt
import numpy as np
import pandas as pd
# Create a Google Trend Object
totalTrend = TrendReq(hl='en-US', tz=360)
# Declare a var to store the search term
#### build the playload
kw_list = ["bitcoin"]
_cat = 0
_geo = ''
_gprop = ''
# Build payload request to get data from Google trends
_timeframe = '2009-01-03 2018-05-26'
totalTrend.build_payload(kw_list, cat=_cat, timeframe=_timeframe, geo=_geo, gprop=_gprop)
# Get interest over time
# Capture Monthly Data for use in Normalization against Weekly
totalTrend = totalTrend.interest_over_time()
# Plot the Interest
totalTrend.plot(title='Google Trends Monthly Data Points', figsize=(20,10))