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How to change color of drawn points on pyGal line chart
How can I do a line break (line continuation) in Python?How do you change the size of figures drawn with matplotlib?How do I change directory (cd) in Python?How to get line count cheaply in Python?How to read a file line-by-line into a list?How to change a string into uppercaseCreate a combined chart in pygal?How to get differents colors in a single line in a Matplotlib figure?How can I scale a pyplot colorbar so that contrast is seen in my scatter points?Coloring, weighting and drawing a MultiGraph in networkx?
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I am creating a line graph using pygal by passing in an array of numbers to be graphed. I am wishing for the points marked on the graph to change color when they are in/outside of a certain range. I.e. If there is a point logged over 40, color it red, if there is a point logged under 20, color it blue.
There does not seem to be an easy way to loop through the array and draw a single point.
The graph is being made with the following code:
customStyle = Style(colors=["#000000"])
chart = pygal.Line(style=customStyle)
chart.title = 'Browser usage evolution (in %)'
chart.x_labels = recordedDates
chart.add('Humidity', recordedHumidity)
chart.render_to_png("out.png")
I would like to have all points above 40 red and below 20 blue.
python pygal
add a comment
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I am creating a line graph using pygal by passing in an array of numbers to be graphed. I am wishing for the points marked on the graph to change color when they are in/outside of a certain range. I.e. If there is a point logged over 40, color it red, if there is a point logged under 20, color it blue.
There does not seem to be an easy way to loop through the array and draw a single point.
The graph is being made with the following code:
customStyle = Style(colors=["#000000"])
chart = pygal.Line(style=customStyle)
chart.title = 'Browser usage evolution (in %)'
chart.x_labels = recordedDates
chart.add('Humidity', recordedHumidity)
chart.render_to_png("out.png")
I would like to have all points above 40 red and below 20 blue.
python pygal
add a comment
|
I am creating a line graph using pygal by passing in an array of numbers to be graphed. I am wishing for the points marked on the graph to change color when they are in/outside of a certain range. I.e. If there is a point logged over 40, color it red, if there is a point logged under 20, color it blue.
There does not seem to be an easy way to loop through the array and draw a single point.
The graph is being made with the following code:
customStyle = Style(colors=["#000000"])
chart = pygal.Line(style=customStyle)
chart.title = 'Browser usage evolution (in %)'
chart.x_labels = recordedDates
chart.add('Humidity', recordedHumidity)
chart.render_to_png("out.png")
I would like to have all points above 40 red and below 20 blue.
python pygal
I am creating a line graph using pygal by passing in an array of numbers to be graphed. I am wishing for the points marked on the graph to change color when they are in/outside of a certain range. I.e. If there is a point logged over 40, color it red, if there is a point logged under 20, color it blue.
There does not seem to be an easy way to loop through the array and draw a single point.
The graph is being made with the following code:
customStyle = Style(colors=["#000000"])
chart = pygal.Line(style=customStyle)
chart.title = 'Browser usage evolution (in %)'
chart.x_labels = recordedDates
chart.add('Humidity', recordedHumidity)
chart.render_to_png("out.png")
I would like to have all points above 40 red and below 20 blue.
python pygal
python pygal
asked Mar 28 at 12:12
anders12232323anders12232323
367 bronze badges
367 bronze badges
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1 Answer
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votes
You can replace a number in the array with a dict
that tells Pygal how to render the data point. This dict
must contain the key value
, which is the number you would have passed, alongside any customisation options you want to use. The list of available options is provided on the value configuration page of the docs, but the one you need here is color
.
You can simply iterate over your existing array, creating a dictionary where color
is set appropriately for the value:
data = []
for v in recordedHumidity:
if v > 40:
data.append("value": v, "color": "red")
elif v < 20:
data.append("value": v, "color": "blue")
else:
data.append(v)
You can then pass the newly created array when adding the series:
customStyle = Style(colors=["#000000"])
chart = pygal.Line(style=customStyle)
chart.x_labels = recordedDates
chart.add('Humidity', data)
chart.render_to_png("out.png")
You might also want to look at the chart configuration and series configuration pages in the docs to see how to customise other aspects of the chart, such as the size of the markers.
add a comment
|
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1 Answer
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active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You can replace a number in the array with a dict
that tells Pygal how to render the data point. This dict
must contain the key value
, which is the number you would have passed, alongside any customisation options you want to use. The list of available options is provided on the value configuration page of the docs, but the one you need here is color
.
You can simply iterate over your existing array, creating a dictionary where color
is set appropriately for the value:
data = []
for v in recordedHumidity:
if v > 40:
data.append("value": v, "color": "red")
elif v < 20:
data.append("value": v, "color": "blue")
else:
data.append(v)
You can then pass the newly created array when adding the series:
customStyle = Style(colors=["#000000"])
chart = pygal.Line(style=customStyle)
chart.x_labels = recordedDates
chart.add('Humidity', data)
chart.render_to_png("out.png")
You might also want to look at the chart configuration and series configuration pages in the docs to see how to customise other aspects of the chart, such as the size of the markers.
add a comment
|
You can replace a number in the array with a dict
that tells Pygal how to render the data point. This dict
must contain the key value
, which is the number you would have passed, alongside any customisation options you want to use. The list of available options is provided on the value configuration page of the docs, but the one you need here is color
.
You can simply iterate over your existing array, creating a dictionary where color
is set appropriately for the value:
data = []
for v in recordedHumidity:
if v > 40:
data.append("value": v, "color": "red")
elif v < 20:
data.append("value": v, "color": "blue")
else:
data.append(v)
You can then pass the newly created array when adding the series:
customStyle = Style(colors=["#000000"])
chart = pygal.Line(style=customStyle)
chart.x_labels = recordedDates
chart.add('Humidity', data)
chart.render_to_png("out.png")
You might also want to look at the chart configuration and series configuration pages in the docs to see how to customise other aspects of the chart, such as the size of the markers.
add a comment
|
You can replace a number in the array with a dict
that tells Pygal how to render the data point. This dict
must contain the key value
, which is the number you would have passed, alongside any customisation options you want to use. The list of available options is provided on the value configuration page of the docs, but the one you need here is color
.
You can simply iterate over your existing array, creating a dictionary where color
is set appropriately for the value:
data = []
for v in recordedHumidity:
if v > 40:
data.append("value": v, "color": "red")
elif v < 20:
data.append("value": v, "color": "blue")
else:
data.append(v)
You can then pass the newly created array when adding the series:
customStyle = Style(colors=["#000000"])
chart = pygal.Line(style=customStyle)
chart.x_labels = recordedDates
chart.add('Humidity', data)
chart.render_to_png("out.png")
You might also want to look at the chart configuration and series configuration pages in the docs to see how to customise other aspects of the chart, such as the size of the markers.
You can replace a number in the array with a dict
that tells Pygal how to render the data point. This dict
must contain the key value
, which is the number you would have passed, alongside any customisation options you want to use. The list of available options is provided on the value configuration page of the docs, but the one you need here is color
.
You can simply iterate over your existing array, creating a dictionary where color
is set appropriately for the value:
data = []
for v in recordedHumidity:
if v > 40:
data.append("value": v, "color": "red")
elif v < 20:
data.append("value": v, "color": "blue")
else:
data.append(v)
You can then pass the newly created array when adding the series:
customStyle = Style(colors=["#000000"])
chart = pygal.Line(style=customStyle)
chart.x_labels = recordedDates
chart.add('Humidity', data)
chart.render_to_png("out.png")
You might also want to look at the chart configuration and series configuration pages in the docs to see how to customise other aspects of the chart, such as the size of the markers.
answered Mar 28 at 18:42
mostlyoxygenmostlyoxygen
7392 silver badges12 bronze badges
7392 silver badges12 bronze badges
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