Hi all,
I have updated the latest seaborn version, however, when I typed into the relplot() function to plot the scatterpoint, it was shown as no attribute.
Any clue?
Was having the same problem. I ran this:
pip install --upgrade seaborn
then restarted the kernel; relplot() works fine now.
Related
I am new to Python. I am trying to create a Bar Chart in Power BI using Python but the script does not seem to work. The code is below:
pip install pandas
pip install matplotlib
import matplotlib.pyplot as plt
plt.plot(dataset.Letter,dataset.Number)
plt.show()
Please find attached the file:
https://www.mediafire.com/file/f0bwt9cp4ha1sfb/Example.pbix/file
enter image description here
After installing only one (1) initial time pip install pandas and pip install matplotlib, you only need to write in your code:
import matplotlib.pyplot as plt
dataset.plot('bar', dataset.Letter, dataset.Number)
plt.show()
import is for setting up the library and you must always use it in your code, while pip install pandas and pip install matplotlib only need to be installed once at the beginning.
First, you should not be required to run pip install every time you run your script. You should only have to use pip install commands when installing a library for the first time. This might require you ensuring that you have the correct libraries located on your computer. However, I do not know what your error is since I do not have your error code.
Also, be sure to specify what type of plot you wish to produce from matplotlob.
Try (EDIT):
import matplotlib.pyplot as plt
dataset.plot(kind='bar', x='Letter', y='Number')
plt.show()
You do not need an indent in your last two lines of code.
Also after reviewing you update I think it might be best if yo review the matplotlib library documentation and familiarize yourself with Python basics. You can learn Python almost anywhere, I have found the interactive lessons on w3schools.com to be useful.
matplotlib: https://matplotlib.org/stable/users/index.html
When plotting heatmaps with seaborn (and correlation matrices with matplotlib) the first and the last row is cut in halve.
This happens also when I run this minimal code example which I found online.
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
data = pd.read_csv('https://raw.githubusercontent.com/resbaz/r-novice-gapminder-files/master/data/gapminder-FiveYearData.csv')
plt.figure(figsize=(10,5))
sns.heatmap(data.corr())
plt.show()
The labels at the y axis are on the correct spot, but the rows aren't completely there.
A few days ago, it work as intended. Since then, I installed texlive-xetex so I removed it again but it didn't solve my problem.
Any ideas what I could be missing?
Unfortunately matplotlib 3.1.1 broke seaborn heatmaps; and in general inverted axes with fixed ticks.
This is fixed in the current development version; you may hence
revert to matplotlib 3.1.0
use matplotlib 3.1.2 or higher
set the heatmap limits manually (ax.set_ylim(bottom, top) # set the ylim to bottom, top)
Its a bug in the matplotlib regression between 3.1.0 and 3.1.1
You can correct this by:
import seaborn as sns
df_corr = someDataFrame.corr()
ax = sns.heatmap(df_corr, annot=True) #notation: "annot" not "annote"
bottom, top = ax.get_ylim()
ax.set_ylim(bottom + 0.5, top - 0.5)
Fixed using the above and setting the heatmap limits manually.
First
ax = sns.heatmap(...
checked the current axes with
ax.get_ylim()
(5.5, 0.5)
Fixed with
ax.set_ylim(6.0, 0)
I solved it by adding this line in my code, with matplotlib==3.1.1:
ax.set_ylim(sorted(ax.get_xlim(), reverse=True))
NB. The only reason this works is because the x-axis isn't changed, so use at your own risk with future mpl versions
matplotlib 3.1.2 is out -
It is available in the Anaconda cloud via conda-forge but I was not able to install it via conda install.
The manual alternative worked:
Download matplotlib 3.1.2 from github and install via pip
% curl https://codeload.github.com/matplotlib/matplotlib/tar.gz/v3.1.2 --output matplotlib-3.1.2.tar.gz
% pip install matplotlib-3.1.2.tar.gz
Worked for me:
b, t = plt.ylim()
b += 0.5
t -= 0.5
custom_ylim = (b, t)
plt.setp(axes, ylim=custom_ylim)
It happens with matplotlib version 3.1.1 as suggested by importanceofbeingernest
Following solved my problem
pip install matplotlib==3.1.0
rustyDev is right about conda-forge, but I did not need to do a manual pip install from a github download. For me, on Windows, it worked directly. And the plots are all nice again.
https://anaconda.org/conda-forge/matplotlib
conda install -c conda-forge matplotlib
optional points, not needed for the answer:
Afterwards, I tried other steps, but they are not needed: In conda prompt: conda search matplotlib --info showed no new version info, the most recent info was for 3.1.1. Thus I tried pip using pip install matplotlib==3.1.2 But pip says "Requirement already satisfied"
Then getting the version according to medium.com/#rakshithvasudev/… python - import matplotlib - matplotlib.__version__ shows that 3.1.2 was successfully installed
Btw, I had this error directly after updating Spyder to v4.0.0. The error was in a plot of a confusion matrix. This was mentioned already some months ago. stackoverflow.com/questions/57225685/… which is already linked to this seaborn question.
Downgrade your matplotlib
!pip install matplotlib==3.1.0
and add this line to your plot code :
ax[i].set_ylim(sorted(ax[i].get_xlim(), reverse=True))
As #ImportanceOfBeingErnest mentioned, this issue is due to broken seaborn heatmaps in a specific version of matplotlib so simple solution to this problem is to upgrade matplotlib as follows:
pip install --upgrade matplotlib
When plotting heatmaps with seaborn (and correlation matrices with matplotlib) the first and the last row is cut in halve.
This happens also when I run this minimal code example which I found online.
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
data = pd.read_csv('https://raw.githubusercontent.com/resbaz/r-novice-gapminder-files/master/data/gapminder-FiveYearData.csv')
plt.figure(figsize=(10,5))
sns.heatmap(data.corr())
plt.show()
The labels at the y axis are on the correct spot, but the rows aren't completely there.
A few days ago, it work as intended. Since then, I installed texlive-xetex so I removed it again but it didn't solve my problem.
Any ideas what I could be missing?
Unfortunately matplotlib 3.1.1 broke seaborn heatmaps; and in general inverted axes with fixed ticks.
This is fixed in the current development version; you may hence
revert to matplotlib 3.1.0
use matplotlib 3.1.2 or higher
set the heatmap limits manually (ax.set_ylim(bottom, top) # set the ylim to bottom, top)
Its a bug in the matplotlib regression between 3.1.0 and 3.1.1
You can correct this by:
import seaborn as sns
df_corr = someDataFrame.corr()
ax = sns.heatmap(df_corr, annot=True) #notation: "annot" not "annote"
bottom, top = ax.get_ylim()
ax.set_ylim(bottom + 0.5, top - 0.5)
Fixed using the above and setting the heatmap limits manually.
First
ax = sns.heatmap(...
checked the current axes with
ax.get_ylim()
(5.5, 0.5)
Fixed with
ax.set_ylim(6.0, 0)
I solved it by adding this line in my code, with matplotlib==3.1.1:
ax.set_ylim(sorted(ax.get_xlim(), reverse=True))
NB. The only reason this works is because the x-axis isn't changed, so use at your own risk with future mpl versions
matplotlib 3.1.2 is out -
It is available in the Anaconda cloud via conda-forge but I was not able to install it via conda install.
The manual alternative worked:
Download matplotlib 3.1.2 from github and install via pip
% curl https://codeload.github.com/matplotlib/matplotlib/tar.gz/v3.1.2 --output matplotlib-3.1.2.tar.gz
% pip install matplotlib-3.1.2.tar.gz
Worked for me:
b, t = plt.ylim()
b += 0.5
t -= 0.5
custom_ylim = (b, t)
plt.setp(axes, ylim=custom_ylim)
It happens with matplotlib version 3.1.1 as suggested by importanceofbeingernest
Following solved my problem
pip install matplotlib==3.1.0
rustyDev is right about conda-forge, but I did not need to do a manual pip install from a github download. For me, on Windows, it worked directly. And the plots are all nice again.
https://anaconda.org/conda-forge/matplotlib
conda install -c conda-forge matplotlib
optional points, not needed for the answer:
Afterwards, I tried other steps, but they are not needed: In conda prompt: conda search matplotlib --info showed no new version info, the most recent info was for 3.1.1. Thus I tried pip using pip install matplotlib==3.1.2 But pip says "Requirement already satisfied"
Then getting the version according to medium.com/#rakshithvasudev/… python - import matplotlib - matplotlib.__version__ shows that 3.1.2 was successfully installed
Btw, I had this error directly after updating Spyder to v4.0.0. The error was in a plot of a confusion matrix. This was mentioned already some months ago. stackoverflow.com/questions/57225685/… which is already linked to this seaborn question.
Downgrade your matplotlib
!pip install matplotlib==3.1.0
and add this line to your plot code :
ax[i].set_ylim(sorted(ax[i].get_xlim(), reverse=True))
As #ImportanceOfBeingErnest mentioned, this issue is due to broken seaborn heatmaps in a specific version of matplotlib so simple solution to this problem is to upgrade matplotlib as follows:
pip install --upgrade matplotlib
I am trying to work on a ipython notebook on pycharm but I am not being able to use the packages
As you can see it says pd is not defined in my case.
Any idea why it is saying that?
Not just that, when I try to use sns it says sns is not defined as well.
I went to file->settings->projectInterpreter Below is a screnshot with pandas package installed.
Pandas was already installed before i started writing any code. Seaborn was installed manually later.
Could anyone explain why I am getting this error in pycharm?
Thanking you in advance.
Turns out I have to run the first cell first then the others.
I'm using mpld3 to visualize interactive plots in ipython notebook
It used to work fine. I installed a new computer, with the latest versions of Ipython and Matplotlib.
But when I run:
enable_notebook()
plot([1,2],[1,2])
instead of getting a plot I get only:
Out[8]: [<matplotlib.lines.Line2D at 0x5cb0850>]
what am I doing wrong?
This is probably related to upgrading the library, and having old versions of the javascript hanging around. We haven't put it up on the mpld3 website yet, but you can see some relevant information in the FAQ section of the mpld3 git repository.