This question already has answers here:
How do I draw a grid onto a plot in Python?
(4 answers)
Change matplotlib grid color with rcParams
(2 answers)
Closed 1 year ago.
I am using the matplotlib.pyplot package in a Jupyter Notebook and for each separate plot I am turning on the grid:
import matplotlib.pyplot as plt
plt.plot(x, y)
plt.grid()
Is there a way to show the grid by default, throughout the whole Notebook?
Related
This question already has answers here:
How to overlay a Seaborn jointplot with a "marginal" (distribution histogram) from a different dataset
(4 answers)
How to add manually customised seaborn plots to JointGrid/jointplot
(1 answer)
Closed 3 days ago.
I have a seaborn jointplot:
import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
def plot():
random_matrix=np.random.standard_normal((1000,2))
df=pd.DataFrame(random_matrix,columns=["x","y"])
print(df)
b=10
plot=sns.jointplot(data=df,x="x", y="y",ratio=1,s=1,marginal_ticks=True,marginal_kws=dict(bins=b))
plot.fig.suptitle("title")
plot.figure.savefig("./plot.png")
That produces the following plot: plot
Now let's say that I have already fit a function to one of these histograms (let's say to the upper one). How could I plot this function on that histogram?
I just started to use the seaborn package so I have no intuition how one can do that. Before I plotted histograms and a scatter plot separately in matplotlib and put them together in such a composition but I want to use a more automatic tool and seaborn seems to be the one.
This question already has answers here:
Matplotlib discrete colorbar
(7 answers)
matplotlib: colorbars and its text labels
(3 answers)
Create a discrete colorbar in matplotlib
(1 answer)
Matplotlib: Discrete colorbar fails for custom labels
(1 answer)
How to create custom standalone matplotlib colorbar with labels?
(1 answer)
Closed 17 days ago.
I want to plot a color bar like the following picture:
Like shown in the picture, the color bar will be a list of RGB values with the corresponding class names for each. How do I do this in Python, especially in Matplotlib? I have both the RGB values and the class names.
This is supposed to be a common task in image segmentation, but I cannot come up with a direct solution. Thank you for your help.
This question already has answers here:
Fitting a Normal distribution to 1D data
(4 answers)
Python: Visualize a normal curve on data's histogram
(1 answer)
How do I draw a histogram for a normal distribution using python matplotlib?
(3 answers)
Fit a curve to a histogram in Python
(2 answers)
How to draw a matching Bell curve over a histogram?
(1 answer)
Closed 1 year ago.
I have the following piece of code:
from pyspark.sql import DataFrame
import plotly.express as px
import matplotlib.pyplot as plt
dfPy = sqlContext.table("df")
pd = dfPy.toPandas()
pd[['col4']].plot(kind='hist', bins=[0,10,20,30,40,50,60,70,80,90,100], rwidth=0.8)
plt.show()
And I get to see the following result of running it in the Apache Zeppelin notebook:
As it can be seen that I have two issues:
How can I draw a bell curve? Seems the distribution is not normal or gaussian like. So I suppose that I should do some data transformation. Correct?
How can I now draw a bell curve on the resulting histogram?
This question already has answers here:
How to display a graph in ipython notebook
(2 answers)
Closed 2 years ago.
i'm newbie in python but i don't know how to solve this problem
I need an histogram in my code. I use this:
import matplotlib.pyplot as plt
plt.hist(datos["Ozone"], bins=10)
Note: datos is a dataframe.
I tested with other more basic examples, but never show the graph of the histogram.
I think is a problem with the Console, but i don't know how solve the problem.
You have to write:
plt.show()
at the end to see your plot.
EDIT:
In case you are using jupyter notebooks, there is no need for plt.show(). You can just add two lines of code as follows:
import matplotlib.pyplot as plt
%matplotlib qt
%matplotlib inline
plt.hist(datos["Ozone"], bins=10)
This question already has answers here:
frequency trail in matplotlib
(2 answers)
Demo of Joypy (joyplots in python) not working?
(1 answer)
How do I visually stack multiple line graphs above each other in python?
(1 answer)
Closed 4 years ago.
Given some data frame we can easily plot the histogram for each column in a notebook like so:
import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.randint(0,100,size=(100, 4)), columns=list('ABCD'))
df.hist()
But instead of having one plot per column is it possible to plot it in one plot the same way tensorboard does it?
Is a 3D histogram the best we can do? Maybe using something different then matplotlib?