现在我们希望在绘制图表之前按人口大小对子地区进行排序。为此,我们可以使用Julia对subregions_cum-DataFrame进行排序(与在Gadfly示例中所做的一样),但VegaLite提供了使用sort属性在图形引擎中对数据进行排序的可能性。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 subregions_cum|>@vlplot(title="Population by ...
FinallyTables.dictrowtableperforms a narrower eltype for column:cwhich isUnion{Int64, String}. All these results are technically correct, but it is important to note that they start to matter when we create a data frame from the result: julia> DataFrame(Tables.columns(vnt2)) 2×3 DataFrame...
The only confusing part is obsDict, which is a dictionary containing the column names of the observations, which are assumed to be stored in a DataFrame called data. This strategy isn’t necessary, but it avoids a lot of complications, and also makes our example better resemble a real-...
harvestsout), (2, 11)) # change climate data daynri_now = cropfield.gvars[:integer_parameters][:daynri] day_now, month_now, year_now = AquaCrop.determine_date(daynri_now) date_now = Date(year_now, month_now, day_now) df_new = create_mock_climate_dataframe(date_now, end_date,...
function foobar( df::DataFrame, id::Symbol, variable::Symbol, value::AbstractString; prefix::AbstractString="" ) # code end # No: The args and kwargs should be split up. function foobar( df::DataFrame, id::Symbol, variable::Symbol, value::AbstractString; prefix::AbstractString="" ) ...
collect可用于获取子元素数组。收集原子,收集残基,收集链和收集模型从结构元素或元素数组返回特定类型的数组。由于大多数操作使用单个的原子或残基,因此默认情况下不会使用无序原子或者残基,仅存在一个实体。可以通过在collectatoms或collectresidues中将expand_disordered设置为true来更改它。
结构转化为DataFrame 代码语言:javascript 代码运行次数:0 运行 代码语言:javascript 代码运行次数:0 运行 AI代码解释 julia> df = DataFrame(collectatoms(struc)); julia> first(df, 3) 3×17 DataFrame. Omitted printing of 5 columns │ Row │ ishetero │ serial │ atomname │ altlocid │ resname ...
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Summary of the dataframe println(size(df)) #> (1649, 22) describe(df) By looking at the description, it looks like there are few spaces and special characters in the column names. Let’s check the column names of the data frame. It’s a good practice to avoid spaces, special characte...
You can obtain the column names and number of columns ncol of a JDF, for example: using JDF, DataFrames df = DataFrame(a = 1:3, b = 1:3) JDF.save(df, "plsdel.jdf") names(jdf"plsdel.jdf") # [:a, :b] # clean up rm("plsdel.jdf", force = true, recursive = true) Addi...