Crawler Inspector

1. Shard Calculation

Query:

Response:

Calculated Shard: 7 (from laksa197)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa007.int.ahrefs:8124/' \
  -H 'Content-Type: text/plain' \
  -H 'X-ClickHouse-Database: crawler3' \
  -H 'Authorization: Basic YXBpOg==' \
  -d 'SELECT getAhrefsURLFromUnparsed(src_unparsed) AS found_url, ifNull(toUnixTimestamp(download_stamp), 0) AS crawl_time, ifNull(toUnixTimestamp(props_url_first_seen), 0) AS first_indexed_time, download_http_code AS http_code, src_unparsed AS src_unparsed, src_root_hash AS src_root_hash, history_drop_reason AS history_drop_reason, meta_title AS meta_title, meta_descriptions AS meta_descriptions, attrs_boilerpipe_text AS attrs_boilerpipe_text, attrs_markdown AS attrs_markdown, attrs_readable_markdown AS attrs_readable_markdown, meta_canonical AS meta_canonical FROM crawler3.page_info_local FINAL PREWHERE (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://erikrood.com/Python_References/remove_NaN_pandas_series_final.html\')), getAhrefsUnparsedNoserviceFromURL(\'https://erikrood.com/Python_References/remove_NaN_pandas_series_final.html\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/erikrood.com\/Python_References\/remove_NaN_pandas_series_final.html","crawl_time":1775842096,"first_indexed_time":1539379345,"http_code":200,"src_unparsed":"com,erikrood!\/Python_References\/remove_NaN_pandas_series_final.html s443","src_root_hash":"6559986673081138407","history_drop_reason":null,"meta_title":"Remove NaN values from a Pandas series","meta_descriptions":[""],"attrs_boilerpipe_text":"Copyright © Erik Rood 2020 |  Twitter","attrs_markdown":"Toggle navigation\n\n[Erik Rood](http:\/\/erikrood.com\/)\n\n- [About](http:\/\/erikrood.com\/contact.html)\n- [Contact](http:\/\/erikrood.com\/contact.html)\n\nLooking to land a data science role? Practice interviewing with a  [few questions per week](https:\/\/www.interviewqs.com\/).\n\n### Remove NaN values from a Pandas series\n***\n```\nimport pandas as pd\nimport numpy as np\n```\n```\n#create series\ns = pd.Series([0,4,12,np.NaN,55,np.NaN,2,np.NaN])\n```\n```\n#dropna - will work with pandas dataframe as well\ns.dropna()\n```\n```\n0 0.01 4.02 12.04 55.06 2.0dtype: float64\n```\n***\nCopyright © Erik Rood 2020 \\| [Twitter](https:\/\/www.twitter.com\/rood_erik)","attrs_readable_markdown":null,"meta_canonical":null}

Filter	Status	Condition	Details
HTTP status	PASS	`download_http_code = 200`	HTTP 200
Age cutoff	PASS	`download_stamp > now() - 6 MONTH`	0 months ago
History drop	PASS	`isNull(history_drop_reason)`	No drop reason
Spam/ban	PASS	`fh_dont_index != 1 AND ml_spam_score = 0`	ml_spam_score=0
Canonical	PASS	`meta_canonical IS NULL OR = '' OR = src_unparsed`	Not set

Property	Value
URL	https://erikrood.com/Python_References/remove_NaN_pandas_series_final.html
Last Crawled	2026-04-10 17:28:16 (12 hours ago)
First Indexed	2018-10-12 21:22:25 (7 years ago)
HTTP Status Code	200
Meta Title	Remove NaN values from a Pandas series
Meta Description	null
Meta Canonical	null
Boilerpipe Text	Copyright © Erik Rood 2020 \| Twitter
Markdown	Toggle navigation [Erik Rood](http://erikrood.com/) - [About](http://erikrood.com/contact.html) - [Contact](http://erikrood.com/contact.html) Looking to land a data science role? Practice interviewing with a [few questions per week](https://www.interviewqs.com/). ### Remove NaN values from a Pandas series * ``` import pandas as pd import numpy as np ``` ``` #create series s = pd.Series([0,4,12,np.NaN,55,np.NaN,2,np.NaN]) ``` ``` #dropna - will work with pandas dataframe as well s.dropna() ``` ``` 0 0.01 4.02 12.04 55.06 2.0dtype: float64 ``` * Copyright © Erik Rood 2020 \\| [Twitter](https://www.twitter.com/rood_erik)
Readable Markdown	null
Shard	7 (laksa)
Root Hash	6559986673081138407
Unparsed URL	com,erikrood!/Python_References/remove_NaN_pandas_series_final.html s443

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