Python simplified graph package for custom data

I require an easy to use plotting package that takes a dictionary of data parameters and generates the appropriate graphs.

The package should take a list of dictionaries and produce one or more graphs based on the criteria passed in.

An example of the dict() would be: (subject to changes as we discuss the project)

- Key - the dict key would be the Y label name

- Y-data - a numpy array or a list of numpy arrays depending on the graph type

- X-data - a numpy array (generally this will be time data but maybe not always)

- X label - label for the x axis

- Include x axis labels - True/False. Whether to display the labels on the x axis (as some graphs all use the same x-axis data it might be a waste of space to include them on every graph in the series)

- type - type of graph (i.e. line, bar, point, candle etc.)

- colour - any standard colour

- graph # - the graph identifier to include the data on. The request may call for between 1 and many graphs and each data point will indicate which graph to include the data on. i.e. all data with graph # 1 will be displayed on the 1st graph, all data with graph # 2 will be displayed on the 2nd graph and so on

- axis - left or right (which axis to plot the data against

exclude 0's - true or false. Whether or not to graph data that is 0

maybe others.

The graphs should be all scrollable along the x axis together

The package should be capable of handling a long list of dicts with any number of graphs.

dataList = [

{

yLabel': "my Y label",

'yData': ydata_nparray,

xLabel': "my X label",

'xData': xdata_nparray,

'Include x labels': True

'type': "line",

'colour': 'green',

'graph #': 1,

'axis': 'left',

'exclude 0': False

},

{

yLabel': "my 2nd data group label",

'yData': ydata_nparray,

xLabel': "my X label",

'xData': xdata_nparray, # can and likely to be the same as 1st dict

'Include x labels': True

'type': "line",

'colour': 'blue',

'graph #': 1,

'axis': 'left',

'exclude 0': False

}

]

Python

Project ID: #31327281

About the project