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        "author": "Leonard Vorbeck",
        "author_email": "leomxyy@googlemail.com",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
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        "description": "#  \u2728 DailyTrends \u2728\n\n# **NOTE** : Overlap-Bug is now fixed and requesting data for multiple keywoards now works fine.\nThis lightweight API solves the problem of getting only monthly-based data for large time series when collecting Google Trends data. No login required. For unlimited requests, I will implement a Tor-based solution soon.\n\n### Installation\n\n```bash\n$ pip install DailyTrends\n```\n\n\n\n\n### How to use\n\n```ipython\n>>> from DailyTrends.collect import collect_data\n# Get the data directly into python.\n# The returned dataframe is already indexed and ready for storage/analysis.\n>>> data = collect_data(\"AMD stock\",\n                    save=False, verbose=False)                   \n>>> data.info()\n\n<class 'pandas.core.frame.DataFrame'>\nDatetimeIndex: 5666 entries, 2004-01-01 to 2019-07-06\nFreq: D\nData columns (total 1 columns):\nAMD stock: (Worldwide)    5666 non-null float64\ndtypes: float64(1)\nmemory usage: 88.5 KB\n\n#Plotting some rolling means of the daily data\n>>> ax=data.rolling(10).mean().plot();\n    data.rolling(25).mean().plot(ax=ax);\n    data.rolling(50).mean().plot(ax=ax)\n```\n\n![image.png](1.png)\n\n### Add your own data\n```ipython\n# In this case the actual historic prices of the stock\n>>> import pandas as pd\n>>> price_data = pd.read_csv(\"price_data.csv\")\n>>> merged = pd.merge(price_data, data,\n                  left_index=True, right_index=True)\n>>> merged[[\"AMD stock: (Worldwide)\", \"Open\"]].rolling(30).mean().plot()\n```\n![image.png](2.png)\n\n### Load multiple queries\n\n```ipython\n>>> data = collect_data([\"Intel\", \"AMD\"],\n                   save=False, verbose=False)      \n\n```\n\n\n\n\n### To-Do\n\n- Add rescale capabilities\n- Optimze multi-query search by combining it to a single request\n- Add time range\n- Add Tor-Network-based requests\n- Add unique identifiers\n- Add tqdm\n- Prevent Null-Overlaps\n\n\n\n\n\n\n## **Disclaimer**\n\nThis API is not supported by Google and is for experimental purposes only.\n\n\n\n\n",
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