🕷️ Crawler Inspector

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Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 6 (from laksa031)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa006.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://www.interviewqs.com/ddi-code-snippets/remove-nan-pandas-series\')), getAhrefsUnparsedNoserviceFromURL(\'https://www.interviewqs.com/ddi-code-snippets/remove-nan-pandas-series\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/www.interviewqs.com\/ddi-code-snippets\/remove-nan-pandas-series","crawl_time":1775841803,"first_indexed_time":1756501333,"http_code":200,"src_unparsed":"com,interviewqs!www,\/ddi-code-snippets\/remove-nan-pandas-series s443","src_root_hash":"16690760669230077006","history_drop_reason":null,"meta_title":"Remove NaN values from a Pandas series - InterviewQs","meta_descriptions":["Python code example that shows how to remove NaN values from a Pandas series. Provided by InterviewQs, a mailing list for coding and data interview problems."],"attrs_boilerpipe_text":"import\npandas\nas\npd\nimport\nnumpy\nas\nnp\n#create series\ns\n=\npd\n.\nSeries([\n0\n,\n4\n,\n12\n,np\n.\nNaN,\n55\n,np\n.\nNaN,\n2\n,np\n.\nNaN])\n#dropna - will work with pandas dataframe as well\ns\n.\ndropna()\n0\n0.0\n1\n4.0\n2\n12.0\n4\n55.0\n6\n2.0\ndtype: float64","attrs_markdown":"[![InterviewQs logo](https:\/\/www.interviewqs.com\/images\/logo.svg) InterviewQs](https:\/\/www.interviewqs.com\/)\n\n[![InterviewQs logo](https:\/\/www.interviewqs.com\/images\/logo.svg) InterviewQs](https:\/\/www.interviewqs.com\/)\n\n[Interview Questions](https:\/\/www.interviewqs.com\/questions) [Pricing](https:\/\/www.interviewqs.com\/pricing) [Sign in](https:\/\/www.interviewqs.com\/sign-in)\n\n# Remove NaN values from a Pandas series\n[Back to snippets](https:\/\/www.interviewqs.com\/ddi-code-snippets)\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     0.0\n1     4.0\n2    12.0\n4    55.0\n6     2.0\ndtype: float64\n```\n\n© 2026 InterviewQs\n\n\\|\n\n[team@interviewqs.com](mailto:team@interviewqs.com)\n\n[Pricing](https:\/\/www.interviewqs.com\/terms) [Blog](https:\/\/www.interviewqs.com\/blog) [Code snippets](https:\/\/www.interviewqs.com\/ddi-code-snippets) [Terms of use](https:\/\/www.interviewqs.com\/terms)","attrs_readable_markdown":"```\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     0.0\n1     4.0\n2    12.0\n4    55.0\n6     2.0\ndtype: float64\n```","meta_canonical":null}

3. Robots.txt Check

Query:

Response:

4. Spam/Ban Check

Query:

Response:

5. Seen Status Check

ℹ️ Skipped - page is already crawled

📄

INDEXABLE

✅

CRAWLED

2 hours ago

🤖

ROBOTS ALLOWED

Page Info Filters

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

Page Details

Property	Value
URL	https://www.interviewqs.com/ddi-code-snippets/remove-nan-pandas-series
Last Crawled	2026-04-10 17:23:23 (2 hours ago)
First Indexed	2025-08-29 21:02:13 (7 months ago)
HTTP Status Code	200
Meta Title	Remove NaN values from a Pandas series - InterviewQs
Meta Description	Python code example that shows how to remove NaN values from a Pandas series. Provided by InterviewQs, a mailing list for coding and data interview problems.
Meta Canonical	null
Boilerpipe Text	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 0.0 1 4.0 2 12.0 4 55.0 6 2.0 dtype: float64
Markdown	[![InterviewQs logo](https://www.interviewqs.com/images/logo.svg) InterviewQs](https://www.interviewqs.com/) [![InterviewQs logo](https://www.interviewqs.com/images/logo.svg) InterviewQs](https://www.interviewqs.com/) [Interview Questions](https://www.interviewqs.com/questions) [Pricing](https://www.interviewqs.com/pricing) [Sign in](https://www.interviewqs.com/sign-in) # Remove NaN values from a Pandas series [Back to snippets](https://www.interviewqs.com/ddi-code-snippets) ``` 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 0.0 1 4.0 2 12.0 4 55.0 6 2.0 dtype: float64 ``` © 2026 InterviewQs \\| [team@interviewqs.com](mailto:team@interviewqs.com) [Pricing](https://www.interviewqs.com/terms) [Blog](https://www.interviewqs.com/blog) [Code snippets](https://www.interviewqs.com/ddi-code-snippets) [Terms of use](https://www.interviewqs.com/terms)
Readable Markdown	``` 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 0.0 1 4.0 2 12.0 4 55.0 6 2.0 dtype: float64 ```
Shard	6 (laksa)
Root Hash	16690760669230077006
Unparsed URL	com,interviewqs!www,/ddi-code-snippets/remove-nan-pandas-series s443