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Plot multiple columns of pandas DataFrame using Seaborn
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How to implement seaborn lmplot to get a gridded plot containing each dataframe column?
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Closed yesterday.
I have a dataset with numerous columns: height, width, brand, model, age, etc.
I want to plot two of the variables, height and width, against each other on the X and Y-axis, and then I want to further differentiate the points by colour and shape/style based on their brand and model.
I have been able to do a scatter with different colours for different brands using lmplpt from seaborn.
If anyone knows a way I can differentiate the markers too based on model that will be great!
Also, I have 12 different models in my dataset. Is there any function that will produce 12 scatterplots in one go, one for each model?
Many thanks
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Plot bar graph from Pandas DataFrame
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A convenient way to plot bar-plot in Python pandas
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Closed 3 months ago.
How do i plot the graph using the dataframe i got?
like that
I tried plotting directly and got this instead
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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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Seaborn workaround for hue barplot
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Closed 2 years ago.
I tried to use the Seaborn style bar graph for one of my visualizations. To give more context, I had to group my data w.r.t fiscal quarter and customer, and aggregate the total revenue from each of these customers.
I have attached a .png file, which has the data frame and the code that I have written to plot this using sns.
Problem Statement: The vertical bars are not properly stacked. There is a gap between the second and third bar for 2019-Q2. Similarly, for Q3 and Q4. Can somebody help me understand the reason behind this?
the gaps are perhaps because you dont have any party with any amount for that quarter, So seaborn is reading it as zero. and since these are in an order it appreas as a gap in middle.
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.
This question already has answers here:
Can I make a multi-color line in matplotlib?
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How to plot one line in different colors
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Closed 5 years ago.
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?