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Title	kawahara.ca - Jer’s
Description	kawahara.ca Jer’s Site Menu Research Recommended books and audiobooks Privacy policy About Python Pandas – How to groupby and aggregate a DataFrame Here’s
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WebSite	kawahara.ca
Host IP	66.198.240.35
Location	United States

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kawahara.ca Valuation

US$6,327,998

Last updated: 2023-05-08 16:08:39

kawahara.ca has Semrush global rank of 1,672,615. kawahara.ca has an estimated worth of US$ 6,327,998, based on its estimated Ads revenue. kawahara.ca receives approximately 730,154 unique visitors each day. Its web server is located in United States, with IP address 66.198.240.35. According to SiteAdvisor, kawahara.ca is safe to visit.

Traffic & Worth Estimates

Purchase/Sale Value	US$6,327,998
Daily Ads Revenue	US$5,842
Monthly Ads Revenue	US$175,237
Yearly Ads Revenue	US$2,102,843
Daily Unique Visitors	48,677
Note: All traffic and earnings values are estimates.

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kawahara.ca.	A	14399	IP: 66.198.240.35
kawahara.ca.	NS	86400	NS Record: ns1.a2hosting.com.
kawahara.ca.	NS	86400	NS Record: ns3.a2hosting.com.
kawahara.ca.	NS	86400	NS Record: ns4.a2hosting.com.
kawahara.ca.	NS	86400	NS Record: ns2.a2hosting.com.
kawahara.ca.	MX	14400	MX Record: 0 kawahara.ca.
kawahara.ca.	TXT	14400	TXT Record: v=spf1 +a +mx +ip4:66.198.240.35 +include:spf.supercp.com ~all

HtmlToTextCheckTime:2023-05-08 16:08:39

kawahara.ca Jer’s Site Menu Research Recommended books and audiobooks Privacy policy About Python Pandas – How to groupby and aggregate a DataFrame Here’s how to group your data by specific columns and apply functions to other columns in a Pandas DataFrame in Python. Create the DataFrame with some example data import pandas as pd # Make up some data. data = [ {’unit’: ’archer’, ’building’: ’archery_range’, ’number_units’: 1, ’civ’: ’spanish’}, {’unit’: ’militia’, ’building’: ’barracks’, ’number_units’: 2, ’civ’: ’spanish’}, {’unit’: ’pikemen’, ’building’: ’barracks’, ’number_units’: 3, ’civ’: ’spanish’}, {’unit’: ’pikemen’, ’building’: ’barracks’, ’number_units’: 4, ’civ’: ’huns’}, ] # Create the DataFrame. df = pd.DataFrame(data) # View the DataFrame. df You should see a DataFrame that looks like this: unit building number_units civ 0 archer archery_range 1 spanish 1 militia barracks 2 spanish 2 pikemen barracks 3 spanish 3 pikemen barracks 4 huns Example 1: Groupby and sum specific

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kawahara.ca Whois Information

Domain Name: kawahara.ca
Registry Domain ID: D954077-CIRA
Registrar WHOIS Server: whois.ca.fury.ca
Registrar URL: http://domainhelp.tucows.com
Updated Date: 2021-03-23T15:20:19Z
Creation Date: 2009-04-07T05:10:27Z
Registry Expiry Date: 2022-04-07T04:00:00Z
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kawahara.ca valuation and analysis