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How to draw vertical lines on a given plot
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Color the shaded area under the curve distribution plot different colors
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Closed 5 years ago.
Density Plot from ggplot in r with p-value indicator
I want to make a report with a density plot with a line indicating the p value (or any other arbitrary value), something similar to the image shown above.
However I haven't been able to find a way to do this in Python/Seaborn.
Thanks!
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DotPlot with Gradient Background in Python?
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I want to mark regions in my seaborn plot with color backgrounds but with a gradient fill.
Similar to the question here is it possible to have a smooth gradient fill in the background rather than a uniform filled color similar to the figure below? It's two regions but the color fades away smoothly.
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Make a histogram of a pandas series
(2 answers)
Closed 8 months ago.
I have a csv file having two columns as shown:
The Track_Angle_Ctrl is a column having angles in degrees. The number of rows here is 371.
What is the best way to visualize the distribution of these 371 angles. Is it by using rose diagrams? If so, how to proceed with it.
Python has many options of visualizing a distribution.
You may start with Pandas df["Track_Angle_Ctrl"].describe() to see the general distribution
For graphical presentation, Seaborn provides displot for plotting histogram, which automatically seperate your data into groups and plot the count: sns.displot(df, x="Track_Angle_Ctrl")
You may check here for documentation: https://seaborn.pydata.org/tutorial/distributions.html
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Log log plot linear regression
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Log-log lmplot with seaborn
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Closed 11 months ago.
I have the next graph. As you notice, there are two graphs in log-log axex. How could I add a tendency line on the purple one (WOR*)?.
The code for this graph is:
axesA2[2].plot(Alm2['mes'],Alm2['WOR'],color='green')
axesA2[2].plot(Alm2['mes'],Alm2['DerivWOR'],color='purple')
axesA2[2].legend();
axesA2[2].set_title('Time vs WOR - WOR*');
axesA2[2].set_xscale('log')
axesA2[2].set_yscale('log')
axesA2[2].set_xlabel("mes");
axesA2[2].set_ylabel("WOR-WOR*");
axesA2[2].grid(True);
By the way, the legend is not showing, but I can handle with that later.
Thanks in advance.
This question already has answers here:
Scatter plot and Color mapping in Python
(4 answers)
Closed 3 years ago.
I am currently working on a project that deals with a scatter plot, made using matplotlib and numpy,
I was wondering whether I could assign color to each point based on their (x,y) coordinates, assume that I have a function that maps (x,y) to (r,g,b). There are a lot of points (~250,000).
Is there any possible way to achieve this?
Matplotlib's scatter plot supports this via the color parameter, check this example. You have to prepare your colors beforehand and pass it to the color. As mentioned, color can be a sequence.
Another way, maybe slightly faster, would be to use seaborn's scatter plot.
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Can I make a multi-color line in matplotlib?
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I'm trying to plot a pandas Series, with part of the Series in a different color. Something like this, but I only have two colors:
I have a second binary Series that contains 0's and 1's to indicate which points should be colored differently. How could I go about this?