mogi | fancy SQL mocking/stubbing library | SQL Database library
kandi X-RAY | mogi Summary
kandi X-RAY | mogi Summary
mogi is a fancy SQL mocking/stubbing library for Go. It uses the vitess SQL parser for maximum happiness. Note: because vitess is a MySQL-flavored parser, other kinds of (non-)standard SQL may break mogi. Mogi isn't finished yet. You can't yet filter stubs based on subqueries and complex bits like ON DUPLICATED AT.
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Top functions reviewed by kandi - BETA
- yErrorMessage returns a string that represents a Bison error message .
- memogrify converts v to string .
- unify a value
- EncodeValue encodes a value into buf .
- equals returns true if src is equal to another .
- Dump prints out stubs to os . Stdout .
- BuildValue builds a Value from Go value .
- yellenx1 returns the char and token .
- RowsToProto3 converts a list of values to a protobuf Row .
- csvToValues converts string to driver . Values
mogi Key Features
mogi Examples and Code Snippets
Community Discussions
Trending Discussions on mogi
QUESTION
I'm a beginner with spatial statistics and I'm not sure how to generalize the question.
But I have the structure:
...ANSWER
Answered 2020-Aug-06 at 21:40I am not sure if this is what you are after
QUESTION
I'm trying to run a code to rename fields in one or more columns using apply... in a similar way to this link example.
However, I am not trying to succeed. I noticed that it is possible to run the function to rename if I am using only one column.
...ANSWER
Answered 2020-Mar-15 at 23:19Have you tried to used pandas.DataFrame.applymap?
It will apply you function to all the DataFrame and I understand that is what you want.
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.applymap.html
QUESTION
I'm trying to do a chloropeth map following this guide: https://www.r-graph-gallery.com/327-chloropleth-map-from-geojson-with-ggplot2.html
I mixed a bit of the tutorial with this answer(Chloropleth map with geojson and ggplot2), since I wasn't getting the result I expected. The cities were being filled with the same color, and it seemed as R wasn't understanding the data as numeric, and filled every city that had at least 1 user with the default color. (tried using as.numeric, didnt work either)
I downloaded "users by city" data from my website from Google Analytics using
...ANSWER
Answered 2020-Jan-28 at 22:09It looks like you have a couple relatively large values, while most are small. This causes 'skewing' of your color scale in a way that looks less interesting. Instead of graphing number of users, consider mapping based on a quantile .
Here is an implementation of grouping into quantiles using cut2()
from Hmisc
. In this case, values are cut into 5 groups.
QUESTION
I would like to stack theese 3 columns but I was unable to do so because their values contain$ next to them. I was trying to do it using as.numeric but with no effect. Could someone please help me fix this?
Here is my code:
...ANSWER
Answered 2019-Dec-28 at 21:22The dataset you provided, does not have the same column names as that in your code.. So I use a subset of the data you provided and it should work for your larger data frame. It's not very clear what you want to plot, so I am using sports and the three columns that have some earnings in it.
A subset of your data:
QUESTION
What I am trying to do is to create a json file and submit to API via CURL
PHP CURL EXAMPLE:
ANSWER
Answered 2017-Jun-06 at 21:56your curl code looks good, if you just want to know how to write the data for json_encode, based on your test json, it'd look like this:
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