acetate | Stylesheets for clean geographic data visualization | Data Visualization library
kandi X-RAY | acetate Summary
kandi X-RAY | acetate Summary
You can use Acetate tile layers by using the following template urls in a web map.
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Top functions reviewed by kandi - BETA
- Evaluate the temperature .
- Load places .
- Postprocessing post - processing .
- Adds a place to the set .
- Initialize the widget .
- Generate a polygon from bounding box .
- Create a Location object from a latitude and longitude .
- Return whether this rectangle is in the given range .
- Convert a number of seconds into a time string .
- Compare two places .
acetate Key Features
acetate Examples and Code Snippets
Community Discussions
Trending Discussions on acetate
QUESTION
I have the data.frame
below:
ANSWER
Answered 2022-Mar-13 at 18:17You can add textposition = "none"
to each trace so that it is only used in the tooltip.
QUESTION
I have the data.frame
below and I have created a grouped bar chart. I'd like to edit the hover text by adding a new row after Department
which will be named Department value
and will take the column DemandCourse.x
as its value for group Demand
and AmountsAv.x
for the group Amount Available
.
ANSWER
Answered 2022-Mar-15 at 08:33Edit: Using hovertext
instead of text
and textposition = "none"
(also see this related answer)
QUESTION
I have the dataframe below:
...ANSWER
Answered 2022-Mar-14 at 18:40Add to the end of your string in the
hovertemplate
field. For example, hovertemplate = "Chemical Name: %{x}
Available Amount: %{y}
Department: %{text}"
QUESTION
This is my dataframe:
...ANSWER
Answered 2022-Mar-14 at 15:41Just remove the concatenation (c
) in group_by
QUESTION
I have the dataframe below:
...ANSWER
Answered 2022-Mar-13 at 23:22One option would be to aggregate your data before plotting:
QUESTION
I have a df "merged.blood.BP.anthrop_1row" that has data on 250 metabolites.
I'd like, First, to check the number of outliers in the 250 metabolites (> 4*SD)
I made the following function and thought I can save the output in a new df easily but couldn't
could you please help
...ANSWER
Answered 2022-Mar-10 at 17:28Here are some possibilities. Note that I've used 3*sd
to get some TRUE
values in a small dataset.
QUESTION
I have the dataframe below:
...ANSWER
Answered 2022-Mar-09 at 17:02plotly
doesn't understand when back ticks are surrounding the variable name that it's still a column in the data. (With regard to the hovertext, specifically.) There are a few ways to get around this. Since you're still using the x and y of each trace, you can use hovertemplate
instead.
updated
After I posted this answer I noticed that 2500 looked the same size as 4000 and that's not quite right. From there I recalled that plotly
won't aggregate the totals. You can aggregate before or during, but it won't automatically sum the values.
Also, the function aggregate
won't accept variable names in back ticks, either.
I've updated the code here to aggregate the totals so that your hovertext
shows the total by group, not individual layers as you move your mouse down the column.
I added x and y labels in the call to layout
, because the backticks were in the graph.
QUESTION
I have the first dataframe like:
...ANSWER
Answered 2022-Mar-08 at 16:08We may need to join (left_join
) and then mutate
to create the column
QUESTION
I want to separate the 1st column of my dataframe named Demand Per Section
to two separated columns named Units
for characters and Demand
for numeric values.
ANSWER
Answered 2022-Feb-28 at 16:16As there are inconsistent spaces between the digits and letter, we may use a regex lookaround
QUESTION
I have a vector of strings in which I have replaced the spaces with underscores. I'm going to reconvert them to spaces, however, there are some syntax errors in the original data which means that some of the spaces shouldn't actually be spaces. I have some simple conditional logic to describe the circumstances when an underscore should be replaced with a space, when it should be replaced with a dash (-), or when it should be removed altogether.
The strings are chemical compound names. In cases where the underscore follows or precedes a number, the underscore should be replaced with a dash ("-"). In cases where the underscore precedes and follows a letter, it should be replaced with a space (" "). And where an underscore precedes or follows a dash, the underscore should be removed without replacement. More than one of these scenarios may apply in different places in a given string. An additional issue is that where a numerical digit directly follows or precedes a letter, there should be a dash between them.
Here is a minimal dataset that demonstrates all of these scenarios and the desired result. Note that the actual dataset has over 35 thousand entries (only 670 unique ones though).
names
[1] "1,8_cineole" "geranyl_acetate" "AR_curcumene" "trans_trans_a-farnesene" "trans_muurola_4,5_diene"
[6] "p_cymene" "a_-_pinene" "cadina_3,5_diene" "germacrene_D" "trans_cadina1,4diene"
converted_names
[1] "1,8-cineole" "geranyl acetate" "AR curcumene" "trans trans a-farnesene" "trans muurola-4,5-diene"
[6] "p cymene" "a-pinene" "cadina-3,5-diene" "germacrene D" "trans cadina-1,4-diene"
I was thinking about approaching this through nested loops that iterate through the names list and then split the string for each name and iterate through the individual characters of the name, but I'm getting a bit lost in applying the conditional logic required to substitute individual characters in the string.
...ANSWER
Answered 2022-Feb-22 at 19:57chem_names <- c("1,8_cineole", "geranyl_acetate", "AR_curcumene", "trans_trans_a-farnesene",
"trans_muurola_4,5_diene", "p_cymene", "a_-_pinene", "cadina_3,5_diene",
"germacrene_D", "trans_cadina1,4diene")
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Install acetate
You can use acetate like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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