mango | Use mongo-go-driver like mgo | SQL Database library
kandi X-RAY | mango Summary
kandi X-RAY | mango Summary
Use mongo-go-driver like mgo.
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Top functions reviewed by kandi - BETA
- IsObjectIDHex returns true if s is a hexadecimal string .
- New returns a new session
- Ping is used to ping the server
mango Key Features
mango Examples and Code Snippets
package main
import (
"fmt"
"github.com/amorist/mango"
"github.com/amorist/mango/bson"
)
// Person person model
type Person struct {
ID bson.ObjectID `bson:"_id" json:"_id"`
Name string `bson:"name" json:"name"`
}
fu
Community Discussions
Trending Discussions on mango
QUESTION
fruit json value.
...ANSWER
Answered 2022-Apr-18 at 02:02To me it looks like you can remove the ref, as all that it's currently being used for is to trigger a click event on your first (content) button when you click on your second (calorie) buttons. If that's the case, you can instead call onClickContent()
manually inside of onClickCalorie()
. First, you can update your onClickCalorie()
to pass through the data that onClickContent()
needs:
QUESTION
textFileA consists of:
...ANSWER
Answered 2022-Mar-24 at 11:31You may use it like this:
QUESTION
I am having 2 scinarios to show the issue.
Scenario 1 ...ANSWER
Answered 2022-Mar-21 at 17:00If you look at the source code for Newtonsoft.Json, you will find that when assigning an array to a property, it will create a copy of it:
QUESTION
I am trying to get this requirement of flagging NaN values based on condition and particular year, below is my code:
...ANSWER
Answered 2022-Mar-18 at 17:13You could build a boolean condition that checks if "Quant" is greater than "upper" and the month is "03" or "04", and mask
"Quant" column:
QUESTION
I am trying to compute the MSE for every row in my dataframe,
Below is my code-
...ANSWER
Answered 2022-Mar-06 at 19:50I'm surprised this mean_square_error
function you import doesn't have an axis kwarg. Instead, use numpy
QUESTION
I have a 2-column dataframe. First column contains a single entry of a class of items (in this case, vegetables). The second column is the incoming new_item
, which are grocery items of different categories (meat, fruit, veg, etc).
ANSWER
Answered 2022-Feb-24 at 19:43current <- tibble::tribble(
~prev_veg, ~new_item,
"cabbage", "lettuce",
NA, "apple",
NA, "beef",
NA, "spinach",
NA, "broccoli",
NA, "mango"
)
target_veg <- c("cabbage", "lettuce", "spinach", "broccoli")
library(dplyr, warn.conflicts = FALSE)
library(purrr)
current %>%
mutate(
prev_veg = accumulate(
head(new_item, -1),
~ if_else(.y %in% target_veg, paste(.x, .y, sep = ", "), .x),
.init = prev_veg[1]
)
)
#> # A tibble: 6 × 2
#> prev_veg new_item
#>
#> 1 cabbage lettuce
#> 2 cabbage, lettuce apple
#> 3 cabbage, lettuce beef
#> 4 cabbage, lettuce spinach
#> 5 cabbage, lettuce, spinach broccoli
#> 6 cabbage, lettuce, spinach, broccoli mango
QUESTION
Have got input dataframe like below:
df
...ANSWER
Answered 2022-Feb-17 at 17:41You can use
QUESTION
I have the following json of format:
...ANSWER
Answered 2022-Jan-19 at 16:29Using the following JSON as an example
QUESTION
I have a data frame called fruits where each row has up to 3 fruits with their corresponding color. Color1 goes with Fruit1, Color2 with Fruit2, and Color3 with Fruit3.
...ANSWER
Answered 2021-Dec-21 at 21:20You can work with the sets of columns independently, create logical matrices, then combine them logically with &
.
Up front:
- if you have
NA
values in your data, this will need some mods to work properly; - this presumes that all columns are in the same order; for instance, if your columns were ordered "Color1, Color2, Color3" and "Fruit3, Fruit2, Fruit1", then this will not pair things correctly.
Assuming dplyr
:
QUESTION
I'm using cheerio.js to parse some HTML documents, but I'm facing certain problems.
The thing is the HTML file I am using contains the following code:
...ANSWER
Answered 2021-Dec-21 at 13:47Solution:
using the each method, one can easily process particular elements
solving the above problem:
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