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Make graphs

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Cal W
2023-04-02 20:08:51 +10:00
parent a4b0639ca0
commit f82c1a024b
3 changed files with 301 additions and 2 deletions
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data/AERO4450-Group-10-Data-Analysis-v2.xls
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main.py
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import numpy as np
import pandas as pd
from makeGraph import makeGraph, UQ_COLOURS as UQC
DATA_FILE_PATH = ".\\data\\AERO4450-Group-10-Data-Analysis-v2.xls"
DATA_FILE = pd.read_excel(DATA_FILE_PATH)
actualData = pd.read_excel(DATA_FILE_PATH, sheet_name="Actual Data")
calibrationData = pd.read_excel(DATA_FILE_PATH, sheet_name="Calibration Data Graphs")
def main():
print(DATA_FILE)
testRun = 0
cols = [f"Unnamed: {3 + testRun*5}", f"Unnamed: {4+ testRun*5}"]
data = actualData[cols].rename(columns = {cols[0]:'Time', cols[1]:'Strain'})
data = data[5:505].astype({"Time":"int", "Strain":"float"})
data1 = data[0::2]
data2 = data[1::2]
makeGraph({
"title": f"Strain over Time\nRun: {testRun+1}",
"xLabel": "Time (ms) - Δt = 10ms",
"yLabel": "Strain (ε)",
"plots":[
{"type":"scatter", "x": data1["Time"], "y": data1["Strain"], "args":{"s":10, "zorder":2}, "label":"Upper", "colour": UQC["purple"]},
{"type":"scatter", "x": data2["Time"], "y": data2["Strain"], "args":{"s":10, "zorder":1}, "label":"Lower", "colour": UQC["dark_grey"]},
{"type":"plot", "x": data1["Time"], "y": data1["Strain"], "args":{"zorder":0, "alpha":0.25}, "label":"Upper", "colour": UQC["purple"]},
{"type":"plot", "x": data2["Time"], "y": data2["Strain"], "args":{"zorder":0, "alpha":0.25}, "label":"Lower", "colour": UQC["dark_grey"]},
]
})
if __name__ == "__main__":
main()

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makeGraph.py Normal file
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### MatPlotLib Graph Wrapper
#### Written by Cal.W 2020, originally for MECH2700 but continually
#### expanded upon.
#### 2023 - Added UQ Colors
__author__ = "Cal Wing"
__version__ = "0.1.6"
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.colors as colors
from mpl_toolkits.axes_grid1 import make_axes_locatable
UQ_COLOURS = {
# Primary
"purple": "#51247A",
"white" : "#FFFFFF",
"black" : "#000000",
# Secondary
"light_purple": "#962A8B",
"red" : "#E62645",
"green" : "#2EA836",
"gold" : "#BB9D65",
"neutral" : "#D7D1CC",
"orange" : "#EB602B",
"yellow" : "#FBB800",
"blue" : "#4085C6",
"aqua" : "#00A2C7",
"dark_grey" : "#999490"
}
#Colorbar Function by Joseph Long & Mike Lampton
# Retrieved from https://joseph-long.com/writing/colorbars/ on 31/10/2021
# Minor Modifications made by Cal.W 2021
def colorbar(mappable, size="5%", pad=0.05, lsize=None, lpad=None, lax=True, **kwargs):
last_axes = plt.gca()
ax = mappable.axes
fig = ax.figure
divider = make_axes_locatable(ax)
if lax:
lsize = lsize if lsize is not None else size
lpad = lpad if lpad is not None else pad
dax = divider.append_axes("left", size=lsize, pad=lpad)
dax.set_frame_on(False)
dax.grid(False)
dax.set_yticks([])
dax.set_xticks([])
cax = divider.append_axes("right", size=size, pad=pad)
cbar = fig.colorbar(mappable, cax=cax, **kwargs)
plt.sca(last_axes)
return cbar
def makeGraph(graphData, showPlot=True, doProgramBlock=True):
""" Generate a matplotlib graph based on a simple dictionary object
Input:
dict(graphData): The dictionary containing all the graph data - see example for more info
bool(showPlot[True]): Should the function display the plot
bool(doProgramBlock[True]): Should the function block the main python thread
Returns: The the figure and axes from matplotlib.pyplot.subplots()
From 'matplotlib.pyplot.subplots():
fig : `matplotlib.figure.Figure`
ax : `matplotlib.axes.Axes` or array of Axes
*ax* can be either a single `~matplotlib.axes.Axes` object or an
array of Axes objects if more than one subplot was created.
Example:
makeGraph({
"title": "Simple Plot",
"xLabel": "x label",
"yLabel": "y label",
"plots": [
{"x":[0,1,2,3,4], "y":[0,1,2,3,4], "label":"Linear"},
{"x":[0,1,2,3,4], "y":[5,5,5,5,5]},
{"x":[4,3,2,1,0], "y":[4,3,2,1,0], "label":"Linear2"},
{"x":0, "type":"axvLine", "label":"Red Vertical Line", "color":"red"},
{"y":6, "type":"axhLine", "label":"Dashed Horizontal Line", "args":{"linestyle":"--"}},
{"type":"scatter", "x":4, "y":4, "label":"A Random Point", "colour":"purple", "args":{"zorder":2}}
]
})
"""
doKeyCopy = True
plotDim = (1,)
if "subPlots" in graphData:
if "plotDim" in graphData: plotDim = graphData["plotDim"]
else: plotDim = (1,len(graphData["subPlots"]))
else:
graphData["subPlots"] = [graphData]
doKeyCopy = False
figSize = graphData["figSize"] if "figSize" in graphData else None
fig, axes = plt.subplots(*plotDim, figsize=figSize) # Create a figure and an axes.
#if len(graphData["subPlots"]) <= 1:
# axes = [axes]
#Makes everything nice and linear
# IE ((1,2), (3,4)) = (1,2,3,4)
flatAxes = np.array(axes).flatten().tolist()
loopKeys = [
"xLabel", "yLabel", "title", "axis", "grid", "xPos", "yPos",
"xLabelPos", "yLabelPos", "xTickPos", "yTickPos", "xScale", "yScale",
"xTickMap", "yTickMap", "plots", "xLim", "yLim"
]
#Feel like this could be optimised
if doKeyCopy:
for key in loopKeys:
if key not in graphData: continue
if key in graphData:
for axGraphData in graphData["subPlots"]:
if key not in axGraphData:
axGraphData[key] = graphData[key]
for i, axGraphData in enumerate(graphData["subPlots"]):
ax = flatAxes[i]
#Draw many plots as needed
# Also provide functions for drawing other types of lines
if "plots" in axGraphData:
getSafeValue = lambda key: pData[key] if key in pData else None #Only return the key-value if present in pData
getSafeValue2 = lambda key, key2: pData[key][key2] if key in pData and key2 in pData[key] else None
for pData in axGraphData["plots"]:
getSafeColour = getSafeValue("colour") or getSafeValue("color") #Figen American Spelling
optArgs = {} if "args" not in pData else pData["args"] #Allow for other args to be passed in
if "type" not in pData or pData["type"] == "plot":
ax.plot(pData["x"], pData["y"], label=getSafeValue("label"), color=getSafeColour, **optArgs)
elif pData["type"] == "hLine":
ax.hlines(pData["y"], *pData["x"], label=getSafeValue("label"), color=getSafeColour, **optArgs)
elif pData["type"] == "vLine":
ax.vlines(pData["x"], *pData["y"], label=getSafeValue("label"), color=getSafeColour, **optArgs)
elif pData["type"] == "axvLine":
if "y" not in pData: pData["y"] = (0, 1) #Span the whole graph
ax.axvline(pData["x"], *pData["y"], label=getSafeValue("label"), color=getSafeColour, **optArgs)
elif pData["type"] == "axhLine":
if "x" not in pData: pData["x"] = (0, 1) #Span the whole graph
ax.axhline(pData["y"], *pData["x"], label=getSafeValue("label"), color=getSafeColour, **optArgs)
elif pData["type"] == "contour":
cs = ax.contour(getSafeValue("x"), getSafeValue("y"), pData["z"], levels=getSafeValue("levels"), colors=getSafeColour, **optArgs)
if "label" in pData: cs.collections[0].set_label(getSafeValue("label"))
elif pData["type"] == "scatter":
ax.scatter(pData["x"], pData["y"], marker=getSafeValue("marker"), label=getSafeValue("label"), color=getSafeColour, **optArgs)
elif pData["type"] == "matshow":
ms = ax.matshow(pData["matrix"], origin=getSafeValue("origin"), label=getSafeValue("label"), **optArgs)
if "colourBar" in pData:
colorbar(ms, extend=getSafeValue2("colourBar", "extend"))
elif pData["type"] == "pColourMesh":
mesh = []
if "X" in pData or "Y" in pData:
mesh = [pData["X"], pData["Y"], pData["Z"]]
if "x" in pData or "y" in pData:
x = pData["x"]; y = pData["y"]
if type(x) in [int, float]: x = (0, x, None)
if type(y) in [int, float]: y = (0, x, None)
x = tuple(x); y = tuple(y)
if len(x) < 3: x = (x[0], x[1], None)
if len(y) < 3: y = (y[0], y[1], None)
x = np.arange(x[0], x[1], x[2])
y = np.arange(y[0], y[1], y[2])
X, Y = np.meshgrid(x, y)
mesh = [X, Y, pData["Z"]]
else:
mesh = [pData["Z"]]
cNorm = None
if "norm" in pData:
cNorm = colors.LogNorm(vmin=pData["norm"][0], vmax=pData["norm"][1])
pcMesh = ax.pcolormesh(*mesh, norm=cNorm, shading=getSafeValue("shading"), label=getSafeValue("label"), **optArgs)
#pcMesh = ax.imshow(pData["Z"], norm=cNorm, origin="lower")
if "colourBar" in pData:
cBarOptArgs = pData["colourBar"]["optArgs"] if "optArgs" in pData["colourBar"] else {}
fig.colorbar(pcMesh, ax=ax, extend=getSafeValue2("colourBar", "extend"), **cBarOptArgs)
elif pData["type"] == "imshow":
cNorm = None
if "norm" in pData:
cNorm = colors.LogNorm(vmin=pData["norm"][0], vmax=pData["norm"][1])
ims = ax.imshow(pData["data"], norm=cNorm, origin=getSafeValue("origin"), label=getSafeValue("label"), **optArgs)
if "colourBar" in pData:
cBarOptArgs = pData["colourBar"]["optArgs"] if "optArgs" in pData["colourBar"] else {}
colorbar(ims, extend=getSafeValue2("colourBar", "extend"), **cBarOptArgs)
#Set extra options as needed
if "xLabel" in axGraphData: ax.set_xlabel(axGraphData["xLabel"]) # Add an x-label to the axes.
if "yLabel" in axGraphData: ax.set_ylabel(axGraphData["yLabel"]) # Add an y-label to the axes.
if "title" in axGraphData: ax.set_title(axGraphData["title"]) # Add an title to the axes.
if "axis" in axGraphData: ax.axis(axGraphData["axis"]) # Set the axis type
if "grid" in axGraphData: ax.grid(axGraphData["grid"]) # Add grids to the graph
if "xPos" in axGraphData: # Add the abilty to move the x axis label and ticks
ax.xaxis.set_label_position(axGraphData["xPos"])
ax.xaxis.set_ticks_position(axGraphData["xPos"])
if "yPos" in axGraphData: # Add the abilty to move the y axis label and ticks
ax.yaxis.set_label_position(axGraphData["yPos"])
ax.yaxis.set_ticks_position(axGraphData["yPos"])
if "xLabelPos" in axGraphData: ax.xaxis.set_label_position(axGraphData["xLabelPos"]) # Add the abilty to move the x axis label
if "yLabelPos" in axGraphData: ax.yaxis.set_label_position(axGraphData["yLabelPos"]) # Add the abilty to move the y axis label
if "xTickPos" in axGraphData: ax.xaxis.set_ticks_position(axGraphData["xTickPos"]) # Add the abilty to move the x axis ticks
if "yTickPos" in axGraphData: ax.yaxis.set_ticks_position(axGraphData["yTickPos"]) # Add the abilty to move the y axis ticks
if "xScale" in axGraphData: ax.set_xscale(axGraphData["xScale"]) #Add x axis scaling if needed
if "yScale" in axGraphData: ax.set_yscale(axGraphData["yScale"]) #Add y axis scaling if needed
if "xLim" in axGraphData:
xLimit = ()
if type(axGraphData["xLim"]) in [int, float]:
xLimit = (0, axGraphData["xLim"])
else:
xLimit = axGraphData["xLim"]
ax.set_xlim(xLimit)
if "yLim" in axGraphData:
yLimit = ()
if type(axGraphData["yLim"]) in [int, float]:
yLimit = (0, axGraphData["yLim"])
else:
yLimit = axGraphData["yLim"]
ax.set_ylim(yLimit)
if "xTickMap" in axGraphData: #Allow for the mapping / transformation of the xAxis Ticks
xTicks = matplotlib.ticker.FuncFormatter(lambda x, pos: '{0:g}'.format(axGraphData["xTickMap"](x)))
ax.xaxis.set_major_formatter(xTicks)
if "yTickMap" in axGraphData: #Allow for the mapping / transformation of the yAxis Ticks
yTicks = matplotlib.ticker.FuncFormatter(lambda y, pos: '{0:g}'.format(axGraphData["yTickMap"](y)))
ax.yaxis.set_major_formatter(yTicks)
if "plots" in axGraphData and bool(sum([("label" in pData) for pData in axGraphData["plots"]])):
ax.legend() #Only draw the legend if there are any defined
if "title" in graphData and not "figTitle" in graphData: fig.canvas.manager.set_window_title(graphData["title"].replace("\n", " ")) #Set the figure title correctly
if "figTitle" in graphData:
getSafeValue = lambda key: graphData[key] if key in graphData else None #Only return the key-value if present in graphData
fig.suptitle(graphData["figTitle"], fontsize=getSafeValue("figTitleFontSize"))
fig.canvas.manager.set_window_title(graphData["figTitle"].replace("\n", " "))
plt.tight_layout() #Fix labels being cut off sometimes
if showPlot:
plt.show(block=doProgramBlock) #Show the plot and also block the program - doing things OO style allow for more flexible programs
return fig, axes
if __name__ == '__main__':
#This is an example of drawing 4 plots by generating them
graphData = {
"figTitle": "Simple Plot",
"figTitleFontSize": 16,
"figSize": (8,8), #Yay America, this is in inches :/ # Note: cm = 1/2.54
"xLabel": "x label",
"yLabel": "y label",
"plotDim": (2,2),
"subPlots":[]
}
#Create 4 identical plots with differnt names
for i in range(4):
newPlot = {
"title": f"Graph {i+1}",
"plots": [
{"x":[0,1,2,3,4], "y":[0,1,2,3,4], "label":"Linear"},
{"x":[0,1,2,3,4], "y":[5,5,5,5,5]},
{"x":[4,3,2,1,0], "y":[4,3,2,1,0], "label":"Linear2"},
{"x":0, "type":"axvLine", "label":"Red Vertical Line", "color":"red"},
{"y":6, "type":"axhLine", "label":"Dashed Horizontal Line", "args":{"linestyle":"--"}},
{"type":"scatter", "x":4, "y":4, "label":"A Random Point", "colour":"purple", "args":{"zorder":2}}
]
}
graphData["subPlots"].append(newPlot)
makeGraph(graphData)