Based on this blogpost.
Install with Homebrew:
$ brew install postgresql@14(The version number 14 needs to be explicitly stated. The @ mark designates a version number is specified. If you need an older version of postgres, use postgresql@13, for example.)
| license: mit |
| license: mit |
| version: '2.1' | |
| services: | |
| php: | |
| tty: true | |
| build: | |
| context: . | |
| dockerfile: tests/Docker/Dockerfile-PHP | |
| args: | |
| version: cli | |
| volumes: |
| license: gpl-3.0 | |
| height: 500 | |
| border: no |
| # docker build -t ubuntu1604py36 | |
| FROM ubuntu:16.04 | |
| RUN apt-get update && \ | |
| apt-get install -y software-properties-common && \ | |
| add-apt-repository ppa:jonathonf/python-3.6 | |
| RUN apt-get update | |
| RUN apt-get install -y build-essential python3.6 python3.6-dev python3-pip python3.6-venv | |
| RUN apt-get install -y git |
JavaScript is great, but comparing to other programing languages it has many confusing parts. One of them is the use of this.
In this blog post I will explain how to use it right, and what are the tools that JavaScript provide us to ease the use of it. In the end, I will focus on react.
| { | |
| "d3-array": { | |
| "dependencies": [], | |
| "description": "Array manipulation, ordering, searching, summarizing, etc.", | |
| "exported": ["version", "bisect", "bisectRight", "bisectLeft", "ascending", "bisector", "descending", "deviation", "extent", "histogram", "thresholdFreedmanDiaconis", "thresholdScott", "thresholdSturges", "max", "mean", "median", "merge", "min", "pairs", "permute", "quantile", "range", "scan", "shuffle", "sum", "ticks", "tickStep", "transpose", "variance", "zip"] | |
| }, | |
| "d3-axis": { | |
| "dependencies": ["d3-scale", "d3-selection", "d3-transition"], | |
| "description": "Displays automatic reference lines for scales.", | |
| "exported": ["version", "axisTop", "axisRight", "axisBottom", "axisLeft"] |
| def splitDataFrameList(df,target_column,separator): | |
| ''' df = dataframe to split, | |
| target_column = the column containing the values to split | |
| separator = the symbol used to perform the split | |
| returns: a dataframe with each entry for the target column separated, with each element moved into a new row. | |
| The values in the other columns are duplicated across the newly divided rows. | |
| ''' | |
| def splitListToRows(row,row_accumulator,target_column,separator): | |
| split_row = row[target_column].split(separator) |
####D3 "force" layout with nodes situated around a circle
This network graph uses the D3 force layout to draw nodes and links, but instead of using d3.force() to find the best node positions, we draw an invisible arc and evenly places nodes along the circumference.
