import plotly.express as px
import matplotlib
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline
I imported these libraries and used %matplotlib inline . The code runs fine but the terminal in vs code shows the error :
Syntax Error: invalid syntax
I found an answer to use %matplotlibinline in VS Code
# Suppress matplotlib user warnings
# Necessary for newer version of matplotlib
import warnings
warnings.filterwarnings("ignore", category = UserWarning, module = "matplotlib")
#
# Display inline matplotlib plots with IPython
from IPython import get_ipython
get_ipython().run_line_magic('matplotlib', 'inline')
%matplotlib inline is not a valid python command. This has a specific meaning when used in ipython/jupyter.
Related
I am getting an error:
"OptionError: 'You can only set the value of existing options'"
after using the below code, please can someone help?
### Data Analaysis
import numpy as np
import pandas as pd
### Data Visualization
import matplotlib.pyplot as plt
import seaborn as sns
import plotly.graph_objs as go
import plotly.express as px
from plotly.subplots import make_subplots
from scipy.interpolate import make_interp_spline, BSpline
%matplotlib inline
import warnings
warnings.simplefilter(action='ignore', category=Warning)
pd.set_option('display.max_columns', None)
pd.options.plotting.backend = "plotly"
The option error "you can only set the value of existing options" are coming because of your last line of script
pd.options.plotting.backend = "plotly"
where you are trying to update your pandas backend plotting method.
Please update your pandas and plotly packages. Because it only works with pandas version>=0.25 and plotly version>=4.8.
So update both the packages, restart your kernel, if you are working on Jupyter notebook. For upgrading the packages
pip install -U pandas
pip install -U plotly
Whenever I try to run the following code I get an error message
import matplotlib
import pandas as pd
import _pickle as pickle
import numpy as np
print(matplotlib.version)
AttributeError: module 'matplotlib' has no attribute 'version'
I get the same error if i try this: matplotlib.style.use('bmh')
I'm using PyCharm
The errors are stating those attributes do not exist. It is not a problem of the installation.
To get the version:
print(matplotlib.__version__)
Regarding the style:
You do not "apply" that in matplotlib. You may want to use the module pyplot:
import matplotlib.pyplot as plt
plt.style.use("bmh")
I am new to JupyterLab trying to learn.
When I try to plot a graph, it works fine on jupyter notebook, but does not show the result on jupyterlab. Can anyone help me with this?
Here are the codes below:
import pandas as pd
import pandas_datareader.data as web
import time
# import matplotlib.pyplot as plt
import datetime as dt
import plotly.graph_objects as go
import numpy as np
from matplotlib import style
# from matplotlib.widgets import EllipseSelector
from alpha_vantage.timeseries import TimeSeries
Here is the code for plotting below:
def candlestick(df):
fig = go.Figure(data = [go.Candlestick(x = df["Date"], open = df["Open"], high = df["High"], low = df["Low"], close = df["Close"])])
fig.show()
JupyterLab Result:
Link to the image (JupyterLab)
JupyterNotebook Result:
Link to the image (Jupyter Notebook)
I have updated both JupyterLab and Notebook to the latest version. I do not know what is causing JupyterLab to stop showing the figure.
Thank you for reading my post. Help would be greatly appreciated.
Note*
I did not include the parts for data reading (Stock OHLC values). It contains the API keys. I am sorry for inconvenience.
Also, this is my second post on stack overflow. If this is not a well-written post, I am sorry. I will try to put more effort if it is possible. Thank you again for help.
TL;DR:
run the following and then restart your jupyter lab
jupyter labextension install #jupyterlab/plotly-extension
Start the lab with:
jupyter lab
Test with the following code:
import plotly.graph_objects as go
from alpha_vantage.timeseries import TimeSeries
def candlestick(df):
fig = go.Figure(data = [go.Candlestick(x = df.index, open = df["1. open"], high = df["2. high"], low = df["3. low"], close = df["4. close"])])
fig.show()
# preferable to save your key as an environment variable....
key = # key here
ts = TimeSeries(key = key, output_format = "pandas")
data_av_hist, meta_data_av_hist = ts.get_daily('AAPL')
candlestick(data_av_hist)
Note: Depending on system and installation of JupyterLab versus bare Jupyter, jlab may work instead of jupyter
Longer explanation:
Since this issue is with plotly and not matplotlib, you do NOT have to use the "inline magic" of:
%matplotlib inline
Each extension has to be installed to the jupyter lab, you can see the list with:
jupyter labextension list
For a more verbose explanation on another extension, please see related issue:
jupyterlab interactive plot
Patrick Collins already gave the correct answer.
However, the current JupyterLab might not be supported by the extension, and for various reasons one might not be able to update the JupyterLab:
ValueError: The extension "#jupyterlab/plotly-extension" does not yet support the current version of JupyterLab.
In this condition a quick workaround would be to save the image and show it again:
from IPython.display import Image
fig.write_image("image.png")
Image(filename='image.png')
To get the write_image() method of Plotly to work, kaleido must be installed:
pip install -U kaleido
This is a full example (originally from Plotly) to test this workaround:
import os
import pandas as pd
import plotly.express as px
from IPython.display import Image
df = pd.DataFrame([
dict(Task="Job A", Start='2009-01-01', Finish='2009-02-28', Resource="Alex"),
dict(Task="Job B", Start='2009-03-05', Finish='2009-04-15', Resource="Alex"),
dict(Task="Job C", Start='2009-02-20', Finish='2009-05-30', Resource="Max")
])
fig = px.timeline(df, x_start="Start", x_end="Finish", y="Resource", color="Resource")
if not os.path.exists("images"):
os.mkdir("images")
fig.write_image("images/fig1.png")
Image(filename='images/fig1.png')
I want to show the graph using the python code below, but I am getting a syntax error as seen on the image. Please help to correct this error. I am using Python 3
import os
import sys
import fnss
import networkx as nx
import fnss
import cvxopt
import numpy as np
import codecs
import random
import matplotlib.pyplot as plt
topo_str = 'topo_peter.xml'
topology = fnss.read_topology(topo_str)
topology_directed = topology.to_directed(topology)
print nx.info(topology_directed)
nx.draw(topology_directed)
plt.show()
and this is the am getting
File "<ipython-input-1-fa7157dd7268>", line 14
print nx.info(topology_directed)
^
SyntaxError: invalid syntax
Based on the information provided:
Python version: 3
Error message: invalid syntax on line 14 -> print nx.info(topology_directed)
It is clearly a simple syntax error for people using Python 3 to execute a Python 2 statement.
print "something" # is valid for Python 2, but not Python 3
For Python 3, use
print("something", "and more", "even more")
So changing print nx.info(topology_directed) to print(nx.info(topology_directed)) solves the problem.
When I run a program with PyCharm, it doesn't display graphs made with Matplotlib. E.g.:
import matplotlib.pyplot as plt
[...]
plt.imshow(montage(W / np.max(W)), cmap='coolwarm')
I tried calling
plt.interactive(False)
first, but it didn't make a difference.
Running the same program with ipython3, the graphs are displayed.
I set a default back-end for my system in matplotlibrc (TkAgg), and that did the trick.
The below code worked for me:
in pycharm-community-2018.2.2
import matplotlib.pyplot as plt
df.boxplot(column='ApplicantIncome')
plt.show()